In this workshop, get an introduction to the latest analysis and visualization capabilities in Excel 2016. See how to import data from different sources, create mash/ups between data sources, and prepare the data for analysis. After preparing the data, learn about how business calculations - from simple to more advanced - can be expressed using DAX, how the result can be visualized and shared.

Views: 34163
Microsoft Power BI

Business Analytics with excel training has been designed to help initiate you to the world of analytics. For this we use the most commonly used analytics tool i.e. Microsoft Excel. The training will equip you with all the concepts and hard skills required to kick start your analytics career. If you already have some experience in the IT or any core industry, this course will quickly teach you how to understand data and take data driven decisions relative to your domain using Microsoft excel.
Data Science Certification Training - R Programming: https://www.simplilearn.com/big-data-and-analytics/data-scientist-certification-sas-r-excel-training?utm_campaign=Data-Excel-W3vrMSah3rc&utm_medium=SC&utm_source=youtube
For a new-comer to the analytics field, this course provides the best required foundation. The training also delves into statistical concepts which are important to derive the best insights from available data and to present the same using executive level dashboards. Finally we introduce Power BI, which is the latest and the best tool provided by Microsoft for analytics and data visualization.
What are the course objectives?
This course will enable you to:
1. Gain a foundational understanding of business analytics
2. Install R, R-studio, and workspace setup. You will also learn about the various R packages
3. Master the R programming and understand how various statements are executed in R
4. Gain an in-depth understanding of data structure used in R and learn to import/export data in R
5. Define, understand and use the various apply functions and DPLYP functions
6. Understand and use the various graphics in R for data visualization
7. Gain a basic understanding of the various statistical concepts
8. Understand and use hypothesis testing method to drive business decisions
9. Understand and use linear, non-linear regression models, and classification techniques for data analysis
10. Learn and use the various association rules and Apriori algorithm
11. Learn and use clustering methods including K-means, DBSCAN, and hierarchical clustering
Who should take this course?
There is an increasing demand for skilled data scientists across all industries which makes this course suited for participants at all levels of experience. We recommend this Data Science training especially for the following professionals:
IT professionals looking for a career switch into data science and analytics
Software developers looking for a career switch into data science and analytics
Professionals working in data and business analytics
Graduates looking to build a career in analytics and data science
Anyone with a genuine interest in the data science field
Experienced professionals who would like to harness data science in their fields
Who should take this course?
There is an increasing demand for skilled data scientists across all industries which makes this course suited for participants at all levels of experience. We recommend this Data Science training especially for the following professionals:
1. IT professionals looking for a career switch into data science and analytics
2. Software developers looking for a career switch into data science and analytics
3. Professionals working in data and business analytics
4. Graduates looking to build a career in analytics and data science
5. Anyone with a genuine interest in the data science field
6. Experienced professionals who would like to harness data science in their fields
For more updates on courses and tips follow us on:
- Facebook : https://www.facebook.com/Simplilearn
- Twitter: https://twitter.com/simplilearn
Get the android app: http://bit.ly/1WlVo4u
Get the iOS app: http://apple.co/1HIO5J0

Views: 39215
Simplilearn

Download workbook:
http://people.highline.edu/mgirvin/ExcelIsFun.htm
Learn the basics of Data Analysis at Highline Community College Professional Development Day 2012:
Topics in Video:
1. What is Data Analysis? ( 00:53 min mark)
2. How Data Must Be Setup ( 02:53 min mark)
Sort:
3. Sort with 1 criteria ( 04:35 min mark)
4. Sort with 2 criteria or more ( 06:27 min mark)
5. Sort by color ( 10:01 min mark)
Filter:
6. Filter with 1 criteria ( 11:26 min mark)
7. Filter with 2 criteria or more ( 15:14 min mark)
8. Filter by color ( 16:28 min mark)
9. Filter Text, Numbers, Dates ( 16:50 min mark)
10. Filter by Partial Text ( 20:16 min mark)
Pivot Tables:
11. What is a PivotTable? ( 21:05 min mark)
12. Easy 3 step method, Cross Tabulation ( 23:07 min mark)
13. Change the calculation ( 26:52 min mark)
14. More than one calculation ( 28:45 min mark)
15. Value Field Settings (32:36 min mark)
16. Grouping Numbers ( 33:24 min mark)
17. Filter in a Pivot Table ( 35:45 min mark)
18. Slicers ( 37:09 min mark)
Charts:
19. Column Charts from Pivot Tables ( 38:37 min mark)
Formulas:
20. SUMIFS ( 42:17 min mark)
21. Data Analysis Formula or PivotTables? ( 45:11 min mark)
22. COUNTIF ( 46:12 min mark)
23. Formula to Compare Two Lists: ISNA and MATCH functions ( 47:00 min mark)
Getting Data Into Excel
24. Import from CSV file ( 51:21 min mark)
25. Import from Access ( 54:00 min mark)
Highline Community College Professional Development Day 2012
Buy excelisfun products:
https://teespring.com/stores/excelisfun-store

Views: 1584216
ExcelIsFun

This video is part of the Analyzing and Visualizing Data with Excel course available on EdX.
To sign up for the course, visit: http://aka.ms/edxexcelbi

Views: 430213
DAT206x

We're constantly amazed at what customers do with charts in Excel. Come to learn more about tips and tricks for commonly requested visualizations scenarios in Excel.

Views: 296578
Microsoft Power BI

This webinar highlights how MATLAB can work with Excel.
Get a Free MATLAB Trial: https://goo.gl/C2Y9A5
Ready to Buy: https://goo.gl/vsIeA5
Learn MATLAB for Free: https://goo.gl/xIiHyG
Many technical professionals find that they run into limitations using Excel for their data analysis applications. This webinar highlights how MATLAB can supplement the capabilities of Excel by providing access to thousands of pre-built engineering and advanced analysis functions and versatile visualization tools.
Learn more about using MATLAB with Excel: http://goo.gl/3vkFMW
Learn more about MATLAB: http://goo.gl/YKadxi
Through product demonstrations you will see how to:
• Access data from spreadsheets
• Plot data and customize figures
• Perform statistical analysis and fitting
• Automatically generate reports to document your analysis
• Freely distribute your MATLAB functions as Excel add-ins
This webinar will show new features from the latest versions of MATLAB including new data types to store and manage data commonly found in spreadsheets.
Previous knowledge of MATLAB is not required.
About the Presenter: Adam Filion holds a BS and MS in Aerospace Engineering from Virginia Tech. His research involved nonlinear controls of spacecraft and periodic orbits in the three-body problem. After graduating he joined the MathWorks Engineering Development Group in 2010 and moved to Applications Engineering in 2012.

Views: 242428
MATLAB

Download File: http://people.highline.edu/mgirvin/excelisfun.htm
See how to use Power BI Desktop to import, clean and transform Sales Tables from Multiple Excel Files and consolidate into a Single Proper Data Set that can be linked in a Relationship to other tables, and then build DAX Calculated Columns & Measures for Gross Profit that can be used in a Dynamic Dashboard with Map, Column Chart, Line Chart, Card and Slicer visualizations. During the whole process we will compare and contrast how the process is similar and different from Excel’s Power Query and Power Pivot DAX.
The steps we will see in this video are:
1. (00:17) Introduction to entire process for Power BI Desktop, including looking at the finished Dashboard
2. (04:50) Import Multiple Excel Files From Folder
3. (05:44) Name Query
4. (06:02) Transform extension column to lowercase
5. (06:34) Filter Files to only include “.xlsx” file extensions
6. (07:05) Remove Columns
7. (07:18) November 2016 Power Query Update Problem
8. (08:05) Add Custom Column with Excel.Workbook Function to extract the Excel Objects from each File.
9. (09:40) Delete Content Column
10. (10:41) Filter to only include Excel Sheet Objects
11. (11:06) Filter to exclude sheets that contain the word “Sheet”
12. (11:40) Remove Columns
13. (11:51) Expand Data and Sheet Name Columns
14. (12:06) Change Field Names
15. (12:22) Change Data Types
16. (14:05) Add Custom Column to calculate Net Revenue Column then round Number.Round function. Then Add Fixed Decimal Data Type.
17. (15:59) Remove columns for Amount and Revenue Discount
18. (16:10) Close and Apply to add to Data Model
19. (17:05) Import Excel Manager Table. Change Data Types to Text. Close and Apply
20. (18:10) Create Relationship between Zip Code Columns
21. (19:03) Create DAX Calculated Column with the IF Function to Categorize Retail Data. Change Data Type.
22. (21:53) Create DAX Measures for: Total Revenue, Total COGS and Gross Profit. Add Currency Number Formatting with No Decimals Showing.
23. (24:28) Create DAX Measures for: Gross Profit Percentage. Add Percentage Number Formatting with Two Decimals Showing.
24. (25:35) Create Map Visualization for Zip Code & Gross Profit Data (Zip Code with relationship to Managers)
25. (26:20) Create Clustered Bar for Manager Names & Gross Profit Data (Zip Code with relationship to Managers)
26. (27:15) Create Clustered Column for Product & Gross Profit Data, with a Line Chart for Gross Profit Percentage
27. (28:19) Create Clustered Column for Payment Method & Gross Profit Data, with a Line Chart for Gross Profit Percentage
28. (28:45) Create Slicer for States.
29. (29:00) Create Card Visualization for Total Revenue, Total COGS, Gross Profit and Gross Profit Percentage.
30. (29:57) Summary
Learn Power BI Desktop Basics. Introduction to Power BI Desktop. Getting Started with Power BI Desktop. Create Impactful Reports With Power BI Desktop. Microsoft Power BI.

Views: 137351
ExcelIsFun

Learn how to stop wasting time in cleaning up data. Invest that time in understanding the hidden information and grow faster than you ever imagined. Create stunning charts in seconds. All this using the familiar Excel, along with the new Power BI toolkit (Power Query, Power Map).
Dr. Nitin Paranjape (Office MVP)

Views: 4254
Efficiency 365

This video is part of the Analyzing and Visualizing Data with Excel course available on EdX.
To sign up for the course, visit: http://aka.ms/edxexcelbi

Views: 53091
DAT206x

Download Start Files: https://people.highline.edu/mgirvin/AllClasses/348/MSPTDA/Content/EDAB/E-DAB-05-Visualizations-Start.xlsx
Download Finished Files: https://people.highline.edu/mgirvin/AllClasses/348/MSPTDA/Content/EDAB/E-DAB-05-Visualizations-Finished.xlsx
Pdf notes: https://people.highline.edu/mgirvin/AllClasses/348/MSPTDA/Content/EDAB/E-DAB-05-Visualizations.pdf
This video teaches about how to visualize in Excel with Tables, Conditional Formatting, Column and Bar Charts, Cross Tab Char (Clustered Column / Bar & Stacked Column / Bar), Line Chart, X Y Scatter Chart and Dashboards. Comprehensive Dashboard Example at end.
This class : Data Analysis & Business Intelligence Made Easy with Excel Power Tools - Excel Data Analysis Basics = E-DAB Class – Sponsored by YouTube and taught by Mike Girvin, Highline College Instructor, Microsoft Excel MVP and founder of the excelisfun channel at YouTube. This is a free educational resource for people how want to learn about the Basics of Data Analysis and Business Intelligence using Microsoft Power Tools such as, PivotTables, Power Query, Power Pivot, Power BI Desktop and more.
Topics:
1. (00:15) Introduction to topics, downloading files and visualizing examples in video.
2. (01:48) Why Visualize? Table or Visualization?
3. (03:47) Edward R. Tufte and High Data/Ink Ratio Rule and “No Chart Junk Rule”
4. (05:57) Tables Formatting Rules
5. (12:05) Conditional Formatting
6. (15:45) Column and Bar Charts
7. (24:04) Cross Tab Chart: Clustered Column / Bar & Stacked Column / Bar
8. (27:10) Line Chart: 1 Number
9. (29:47) Line Chart and IF Function for line chart that shows revenue and emphasizes promotions for company.
10. (35:40) X-Y Scatter Chart: 2 Numbers
11. (37:02) Comprehensive Dashboard example with PivotTables and Charts. Print Setup to allow printing.
12. (39:26) PivotTable Custom Style
13. (53:44) Summary
The Power Query logo used in this video is copyright of and used with the express permission of https://powerquery.training
Thanks to Ken Puls and Miguel Escobar for letting me use their logo!!!!

Views: 14938
ExcelIsFun

WATCH PART 2: https://www.youtube.com/watch?v=g530cnFfk8Y
Download file used in the video: http://www.excelcampus.com/pivot-table-checklist-yt
In this video series you will learn how to create an interactive dashboard using Pivot Tables and Pivot Charts.
Works with Excel 2003, 2007, 2010, 2013 for Windows & Excel 2011 for Mac
Don't worry if you have never created a Pivot Table before, I cover the basics of formatting your source data and creating your first Pivot Table as well. You will also get to see an add-in I developed named PivotPal that makes it easier to work with some aspects of Pivot Tables.
Download the files to follow along at the following link.
http://www.excelcampus.com/pivot-table-checklist-yt
I have another video that shows how to reformat the pivot chart in Excel 2010. In the video above I'm using Excel 2013 and the menus are different from Excel 2007/2010. Here is the link to that video. http://www.youtube.com/watch?v=Jt_QqG-vRRw
Get PivotPal: http://www.excelcampus.com/pivotpal
Free webinar on The 5 Secrets to Understanding Pivot Tables: https://www.excelcampus.com/pivot-webinar-yt
Subscribe to my free newsletter: http://www.excelcampus.com/newsletter

Views: 7211040
Excel Campus - Jon

Data Analysis and Visualization is a Richfull series Directed to all students interested in Analysing and Visualizing Data using Excel, MATLAB and Wolfram Mathematica. This Course has been made by an expert prophesors in University of Wistern Australia, and Contains the main folowing Topics:
1 Data Visualization in Excel
2 Array Formula in Excel
3 2D Array Formula in Excel
4 Excel Macros
5 Why Matlab
6 Problem Solving in MATLAB
7 MATLAB Orientation - Data Types and Expressions
8 MATLAB Scripts and Functions, Storing Instructions in Files, Getting Help on Build-in Functions
9 Matrices in MATLAB
10 MATLAB Scripts and Functions
11 Random Numbers, Gaussian Random Numbers, Complex Numbers
12 An Examples of Script and Function Files
13 Control Flow, Flow Chart, Relational Operators, Logical Operators, Truth Table, if clause, elseif, Nested if statments, Switch Structure,
14 MATLAB Loops, Nested Loops, Repetition, while, For,
15 Problems with Scripts, Workspace, Why Functions, How to Write a MATLAB Function, Anonymous Functions,
16 MATLAB Programs Input / Output, Escape Characters, Formatted Output, Syntax of Conversion Sequence,
17 Defensive Programming, error, warning, msg, isnumeric, ischar, nargin, nargout, nargchk, narginchk, all,
18 Cell Arrays, Array Types to Store data, Normal Arrays, Curly Brackets, Round Brackets,
19 MATLAB Structures, What is a Structure?, Adding a Field to a Structure, Struct Function, Manipulate the Fields, Preallocate Memory for a Structure Array
20 Basic 2D Plotting, title, xlabel, ylabel, grid, plot
21 Multiple Plots, figure, hold on, off, legend Function, String, Axis Scaling, Subplot,
22 Types of 2D Plots, Polar Plot, Logarithmic Plot, Bar Graphs, Pie Charts, Histograms, X-Y Graphs with 2 y Axes, Function Plots,
23 3D Plot, Line Plot, Surface Plot, Contour plots, Cylinder Plots, mesh, surf, contour, meshgrid,
24 Parametric Surfaces, Earth, Triangular Prism, Generating Points, Default Shading, Shading Flat, Shading Interp,
25 Arrays vs. Matrix Operations,
26 Dot Products, Example Calculating Center of Mass, Center of Gravity,
27 Matrix Multiplication and Division, Matrix Powers, Matrix Inverse, Determinatnts, Cross Products,
28 Applications of Matrix Operations, Solving Linear Equations, Linear Transformations, Eigenvectors
29 Engineering Application of Solving Systems of Linear Equations, Systems of Linear Equations, Kirchhoff's Circuit Laws,
30 Symbolic Differentiation, sym, syms, diff
31 Numerical Differentiation, fplot, Forward Difference, Backward Difference, Central Difference,
32 Numerical Integration, Engineering Applications, Integration, Trapezoid Rule, Simpson's Rule,
33 Monte Carlo Integration,
34 Introduction to ODE in System Biology
35 Introduction to System Biology, Gene Circuits,
36 Solving ODEs in Matlab, Repressilator, Programming steps
37 Interpolation, Cubic Spline Interpolation, Nearest Neighbor, Cubic, Two Dimensional, Three Dimensional,
38 Curve Fitting, Empirical Modelling, Linear Regression, Polynomial Regression, polyfit, polyval, Least Squres,
39 Introduction to Mathematica,
40 Programming in Mathematica
41 Basic Function in Mathematica, Strings, Characters, Polynomials, Solving Equations, Trigonometry, Calculus, 2D Ploting, Interactive Plots, Functions, Matlab vs. MAthematica
42 Numerical Data, Arthematic Operators, Data Types, Lists, Vectors, Matrices, String, Characters,
43 Mathematica Rule Based Programming, Functional Programming,
44 MAthematica Procedural Programming, Procedural Programs, Conditionals and Compositions, Looping Constructs, Errors, Modules,
45 Mathematica Predicates in Rule Based Programming, Patterns and Rules, Rules and Lists, Predicates, Blank, Blanksequence, BlackNullSequence, Number Puzzle,
46 Symbolic Mathematics and Programming, Rule Based Computation, Simplify, Expand, Solve, NSolve, Symbolic Visualisation,
47 Symbolic Computing in Matlab, Symbolic Algebra, sym, syms, Equations, Expressions, Systems of Equations, Calculus,

Views: 634
TO Courses

Download file used in the video with step by step instructions and links to more tutorials: https://www.myonlinetraininghub.com/workbook-downloads
In this video you will learn how to create an interactive dashboard from scratch using the built in Excel tools. No add-ins or VBA/Macros. Just plain Excel.
Applies to Excel 2007 onward for Windows & Excel 2016 onward for Mac.
Subscribe to my free newsletter and get my 100 Tips & Tricks eBook here: https://www.myonlinetraininghub.com/sign-up-for-100-excel-tips-and-tricks

Views: 2126168
MyOnlineTrainingHub

Subscribe and hit bell icon to receive notifications of my upcoming posts.
In this tutorial, we will see how to do realtime visualization of data in excel. You'll see graphs refreshing every second and show you the latest data.
Music : www.bensound.com

Views: 188
Extreme Automation - Kamal Girdher

Note:All work in this gig is CUSTOM made and my Previous work.
Hi am Bio-Statistician .I will perform Data analyzes for any field of statistics at different levels of research work and Business Analysis.
Visualization
Summarized Analysis
Detailed Analysis
Forecasting
Statistical Dashboard
Eye Catching Presenting analysis
Charts
Tables
Graphs
Totals
Pivot
Others
stata, spss, eviews, ms excel, computer, pro, data analysis statistical, spss, r programming data visualization, statistics data analysis, Microsoft excel, research analysis, data processing, r studio, tableau, visualization, infographics, flow charts, pie chart, graphic design, pivot table , charts, spreadsheet ,statistics scripting, data mining, r programming.
Key Statistical Skills:
-SPSS
-R
-EXCEL
Finally, my priorities are customer satisfaction.

Views: 3
Creative Coach by Kaku Ak

Python data analysis / data science tutorial. Let’s go!
For more videos like this, I’d recommend my course here: https://www.csdojo.io/moredata
Sample data and sample code: https://www.csdojo.io/data
My explanation about Jupyter Notebook and Anaconda: https://bit.ly/2JAtjF8
Also, keep in touch on Twitter: https://twitter.com/ykdojo
And Facebook: https://www.facebook.com/entercsdojo
Outline - check the comment section for a clickable version:
0:37: Why data visualization?
1:05: Why Python?
1:39: Why Matplotlib?
2:23: Installing Jupyter through Anaconda
3:20: Launching Jupyter
3:41: DEMO begins: create a folder and download data
4:27: Create a new Jupyter Notebook file
5:09: Importing libraries
6:04: Simple examples of how to use Matplotlib / Pyplot
7:21: Plotting multiple lines
8:46: Importing data from a CSV file
10:46: Plotting data you’ve imported
13:19: Using a third argument in the plot() function
13:42: A real analysis with a real data set - loading data
14:49: Isolating the data for the U.S. and China
16:29: Plotting US and China’s population growth
18:22: Comparing relative growths instead of the absolute amount
21:21: About how to get more videos like this - it’s at https://www.csdojo.io/moredata

Views: 293651
CS Dojo

Data Analysis and Visualization is a Richfull series Directed to all students interested in Analysing and Visualizing Data using Excel, MATLAB and Wolfram Mathematica. This Course has been made by an expert prophesors in University of Wistern Australia, and Contains the main folowing Topics:
1 Data Visualization in Excel
2 Array Formula in Excel
3 2D Array Formula in Excel
4 Excel Macros
5 Why Matlab
6 Problem Solving in MATLAB
7 MATLAB Orientation - Data Types and Expressions
8 MATLAB Scripts and Functions, Storing Instructions in Files, Getting Help on Build-in Functions
9 Matrices in MATLAB
10 MATLAB Scripts and Functions
11 Random Numbers, Gaussian Random Numbers, Complex Numbers
12 An Examples of Script and Function Files
13 Control Flow, Flow Chart, Relational Operators, Logical Operators, Truth Table, if clause, elseif, Nested if statments, Switch Structure,
14 MATLAB Loops, Nested Loops, Repetition, while, For,
15 Problems with Scripts, Workspace, Why Functions, How to Write a MATLAB Function, Anonymous Functions,
16 MATLAB Programs Input / Output, Escape Characters, Formatted Output, Syntax of Conversion Sequence,
17 Defensive Programming, error, warning, msg, isnumeric, ischar, nargin, nargout, nargchk, narginchk, all,
18 Cell Arrays, Array Types to Store data, Normal Arrays, Curly Brackets, Round Brackets,
19 MATLAB Structures, What is a Structure?, Adding a Field to a Structure, Struct Function, Manipulate the Fields, Preallocate Memory for a Structure Array
20 Basic 2D Plotting, title, xlabel, ylabel, grid, plot
21 Multiple Plots, figure, hold on, off, legend Function, String, Axis Scaling, Subplot,
22 Types of 2D Plots, Polar Plot, Logarithmic Plot, Bar Graphs, Pie Charts, Histograms, X-Y Graphs with 2 y Axes, Function Plots,
23 3D Plot, Line Plot, Surface Plot, Contour plots, Cylinder Plots, mesh, surf, contour, meshgrid,
24 Parametric Surfaces, Earth, Triangular Prism, Generating Points, Default Shading, Shading Flat, Shading Interp,
25 Arrays vs. Matrix Operations,
26 Dot Products, Example Calculating Center of Mass, Center of Gravity,
27 Matrix Multiplication and Division, Matrix Powers, Matrix Inverse, Determinatnts, Cross Products,
28 Applications of Matrix Operations, Solving Linear Equations, Linear Transformations, Eigenvectors
29 Engineering Application of Solving Systems of Linear Equations, Systems of Linear Equations, Kirchhoff's Circuit Laws,
30 Symbolic Differentiation, sym, syms, diff
31 Numerical Differentiation, fplot, Forward Difference, Backward Difference, Central Difference,
32 Numerical Integration, Engineering Applications, Integration, Trapezoid Rule, Simpson's Rule,
33 Monte Carlo Integration,
34 Introduction to ODE in System Biology
35 Introduction to System Biology, Gene Circuits,
36 Solving ODEs in Matlab, Repressilator, Programming steps
37 Interpolation, Cubic Spline Interpolation, Nearest Neighbor, Cubic, Two Dimensional, Three Dimensional,
38 Curve Fitting, Empirical Modelling, Linear Regression, Polynomial Regression, polyfit, polyval, Least Squres,
39 Introduction to Mathematica,
40 Programming in Mathematica
41 Basic Function in Mathematica, Strings, Characters, Polynomials, Solving Equations, Trigonometry, Calculus, 2D Ploting, Interactive Plots, Functions, Matlab vs. MAthematica
42 Numerical Data, Arthematic Operators, Data Types, Lists, Vectors, Matrices, String, Characters,
43 Mathematica Rule Based Programming, Functional Programming,
44 MAthematica Procedural Programming, Procedural Programs, Conditionals and Compositions, Looping Constructs, Errors, Modules,
45 Mathematica Predicates in Rule Based Programming, Patterns and Rules, Rules and Lists, Predicates, Blank, Blanksequence, BlackNullSequence, Number Puzzle,
46 Symbolic Mathematics and Programming, Rule Based Computation, Simplify, Expand, Solve, NSolve, Symbolic Visualisation,
47 Symbolic Computing in Matlab, Symbolic Algebra, sym, syms, Equations, Expressions, Systems of Equations, Calculus,

Views: 77
TO Courses

When your data is available partially in Excel and Partially in Access we can bring it All together, then create calculations and functions using the data from multiple sources. We can then Export our data back to Excel and perform our analysis by creating nice looking impressive Charts in Excel.
You can download the exercise files and follow along by going to my website www.OfficeInstructor.ca and click on "Downloads" then select the exercise file to download.
To be notified when new videos are published, make sure you subscribe to this channel... Your comments are always appreciated.

Views: 1339
Officeinstructor

Explore the art of data visualization with Excel. This webinar covers the following topics:
Types of Charts
Speedometer Charts
Thermometer Charts
Combinational Charts
Usage of Tables to make dynamically updated Charts
Learn more at: http://www.edureka.co/advanced-ms-excel

Views: 3226
edureka!

Track and highlight important data trends with Sparklines. With new data analysis and visualization tools Sparklines are mini-charts placed inside cells so that you can view the data and the chart on the same table. http://www.trainsignal.com/Office-2010-Training-Package.aspx?utm_source=YouTube&utm_medium=Social%20Media&utm_campaign=YouTubeOffice%20Referral&utm_content=excel%202010

Views: 2013
TrainSignal is now Pluralsight

Take this course for free on edX: https://www.edx.org/course/excel-data-analysis-visualization-microsoft-dat206x
↓ More info below. ↓
Follow on Facebook: https://www.facebook.com/edX
Follow on Twitter: https://www.twitter.com/edxonline
Follow on YouTube: https://www.youtube.com/user/edxonline
About this course
Microsoft Excel is one of the most widely used solutions for analyzing and visualizing data. Beginning with Excel 2010, new tools were introduced to enable the analysis of more data, resulting in less time spent creating and maintaining the solutions and enabling a better understanding of what the data means. This better understanding is facilitated by improved visualizations and more sophisticated business logics.
Do you want to take your advanced Excel skills to the next level? Are you exploring new ways to get and transform your data and create visualization?
Check out this practical new course, taught in short, lecture-based videos, complete with demos, quizzes, and hands-on labs, and skill up on many of the built-in business intelligence (BI) tools and features in Excel. Learn how to present the most relevant data with dynamic reports and presentations, as expert Dany Hoter walks you through all the important details.
In this course, get an introduction to the latest versions of these new tools in Excel 2016. See how to import data from different sources, create mashups between data sources, and prepare the data for analysis. After preparing the data, learn about how business calculations—from simple to more advanced—can be expressed using the DAX calculation engine. And see how these different technologies work together inside Excel. Learn how the data can be visualized and shared to the Power BI cloud service, after which it can be used in dashboards, queried using plain English sentences, and consumed on mobile devices.

Views: 13741
edX

Here I have shown the high-level view on how to visualize the excel data in Tableau.
Tableau Public 10.2
Data - Hollywood most profitable Movie

Views: 20471
visualizer bi

Data Analysis and Visualization is a Rich-full series Directed to all students interested in Analyzing and Visualizing Data using Excel, MATLAB and Wolfram Mathematica. This Course has been made by an expert prophesiers in University of Western Australia, and Contains the main flowing Topics:
1 Data Visualization in Excel
2 Array Formula in Excel
3 2D Array Formula in Excel
4 Excel Macros
5 Why Matlab
6 Problem Solving in MATLAB
7 MATLAB Orientation - Data Types and Expressions
8 MATLAB Scripts and Functions, Storing Instructions in Files, Getting Help on Build-in Functions
9 Matrices in MATLAB
10 MATLAB Scripts and Functions
11 Random Numbers, Gaussian Random Numbers, Complex Numbers
12 An Examples of Script and Function Files
13 Control Flow, Flow Chart, Relational Operators, Logical Operators, Truth Table, if clause, elseif, Nested if statments, Switch Structure,
14 MATLAB Loops, Nested Loops, Repetition, while, For,
15 Problems with Scripts, Workspace, Why Functions, How to Write a MATLAB Function, Anonymous Functions,
16 MATLAB Programs Input / Output, Escape Characters, Formatted Output, Syntax of Conversion Sequence,
17 Defensive Programming, error, warning, msg, isnumeric, ischar, nargin, nargout, nargchk, narginchk, all,
18 Cell Arrays, Array Types to Store data, Normal Arrays, Curly Brackets, Round Brackets,
19 MATLAB Structures, What is a Structure?, Adding a Field to a Structure, Struct Function, Manipulate the Fields, Preallocate Memory for a Structure Array
20 Basic 2D Plotting, title, xlabel, ylabel, grid, plot
21 Multiple Plots, figure, hold on, off, legend Function, String, Axis Scaling, Subplot,
22 Types of 2D Plots, Polar Plot, Logarithmic Plot, Bar Graphs, Pie Charts, Histograms, X-Y Graphs with 2 y Axes, Function Plots,
23 3D Plot, Line Plot, Surface Plot, Contour plots, Cylinder Plots, mesh, surf, contour, meshgrid,
24 Parametric Surfaces, Earth, Triangular Prism, Generating Points, Default Shading, Shading Flat, Shading Interp,
25 Arrays vs. Matrix Operations,
26 Dot Products, Example Calculating Center of Mass, Center of Gravity,
27 Matrix Multiplication and Division, Matrix Powers, Matrix Inverse, Determinatnts, Cross Products,
28 Applications of Matrix Operations, Solving Linear Equations, Linear Transformations, Eigenvectors
29 Engineering Application of Solving Systems of Linear Equations, Systems of Linear Equations, Kirchhoff's Circuit Laws,
30 Symbolic Differentiation, sym, syms, diff
31 Numerical Differentiation, fplot, Forward Difference, Backward Difference, Central Difference,
32 Numerical Integration, Engineering Applications, Integration, Trapezoid Rule, Simpson's Rule,
33 Monte Carlo Integration,
34 Introduction to ODE in System Biology
35 Introduction to System Biology, Gene Circuits,
36 Solving ODEs in Matlab, Repressilator, Programming steps
37 Interpolation, Cubic Spline Interpolation, Nearest Neighbor, Cubic, Two Dimensional, Three Dimensional,
38 Curve Fitting, Empirical Modelling, Linear Regression, Polynomial Regression, polyfit, polyval, Least Squres,
39 Introduction to Mathematica,
40 Programming in Mathematica
41 Basic Function in Mathematica, Strings, Characters, Polynomials, Solving Equations, Trigonometry, Calculus, 2D Ploting, Interactive Plots, Functions, Matlab vs. MAthematica
42 Numerical Data, Arthematic Operators, Data Types, Lists, Vectors, Matrices, String, Characters,
43 Mathematica Rule Based Programming, Functional Programming,
44 MAthematica Procedural Programming, Procedural Programs, Conditionals and Compositions, Looping Constructs, Errors, Modules,
45 Mathematica Predicates in Rule Based Programming, Patterns and Rules, Rules and Lists, Predicates, Blank, Blanksequence, BlackNullSequence, Number Puzzle,
46 Symbolic Mathematics and Programming, Rule Based Computation, Simplify, Expand, Solve, NSolve, Symbolic Visualisation,
47 Symbolic Computing in Matlab, Symbolic Algebra, sym, syms, Equations, Expressions, Systems of Equations, Calculus,

Views: 231
TO Courses

Visualization of data is a powerful method to see trends and make decisions. Microsoft Excel trending capabilities are tools to visualize large data sets, such as financial information on company performance.

Views: 19612
APMonitor.com

Data Analysis and Visualization is a Rich-full series Directed to all students interested in Analyzing and Visualizing Data using Excel, MATLAB and Wolfram Mathematica. This Course has been made by an expert prophesiers in University of Western Australia, and Contains the main flowing Topics:
1 Data Visualization in Excel
2 Array Formula in Excel
3 2D Array Formula in Excel
4 Excel Macros
5 Why Matlab
6 Problem Solving in MATLAB
7 MATLAB Orientation - Data Types and Expressions
8 MATLAB Scripts and Functions, Storing Instructions in Files, Getting Help on Build-in Functions
9 Matrices in MATLAB
10 MATLAB Scripts and Functions
11 Random Numbers, Gaussian Random Numbers, Complex Numbers
12 An Examples of Script and Function Files
13 Control Flow, Flow Chart, Relational Operators, Logical Operators, Truth Table, if clause, elseif, Nested if statments, Switch Structure,
14 MATLAB Loops, Nested Loops, Repetition, while, For,
15 Problems with Scripts, Workspace, Why Functions, How to Write a MATLAB Function, Anonymous Functions,
16 MATLAB Programs Input / Output, Escape Characters, Formatted Output, Syntax of Conversion Sequence,
17 Defensive Programming, error, warning, msg, isnumeric, ischar, nargin, nargout, nargchk, narginchk, all,
18 Cell Arrays, Array Types to Store data, Normal Arrays, Curly Brackets, Round Brackets,
19 MATLAB Structures, What is a Structure?, Adding a Field to a Structure, Struct Function, Manipulate the Fields, Preallocate Memory for a Structure Array
20 Basic 2D Plotting, title, xlabel, ylabel, grid, plot
21 Multiple Plots, figure, hold on, off, legend Function, String, Axis Scaling, Subplot,
22 Types of 2D Plots, Polar Plot, Logarithmic Plot, Bar Graphs, Pie Charts, Histograms, X-Y Graphs with 2 y Axes, Function Plots,
23 3D Plot, Line Plot, Surface Plot, Contour plots, Cylinder Plots, mesh, surf, contour, meshgrid,
24 Parametric Surfaces, Earth, Triangular Prism, Generating Points, Default Shading, Shading Flat, Shading Interp,
25 Arrays vs. Matrix Operations,
26 Dot Products, Example Calculating Center of Mass, Center of Gravity,
27 Matrix Multiplication and Division, Matrix Powers, Matrix Inverse, Determinatnts, Cross Products,
28 Applications of Matrix Operations, Solving Linear Equations, Linear Transformations, Eigenvectors
29 Engineering Application of Solving Systems of Linear Equations, Systems of Linear Equations, Kirchhoff's Circuit Laws,
30 Symbolic Differentiation, sym, syms, diff
31 Numerical Differentiation, fplot, Forward Difference, Backward Difference, Central Difference,
32 Numerical Integration, Engineering Applications, Integration, Trapezoid Rule, Simpson's Rule,
33 Monte Carlo Integration,
34 Introduction to ODE in System Biology
35 Introduction to System Biology, Gene Circuits,
36 Solving ODEs in Matlab, Repressilator, Programming steps
37 Interpolation, Cubic Spline Interpolation, Nearest Neighbor, Cubic, Two Dimensional, Three Dimensional,
38 Curve Fitting, Empirical Modelling, Linear Regression, Polynomial Regression, polyfit, polyval, Least Squres,
39 Introduction to Mathematica,
40 Programming in Mathematica
41 Basic Function in Mathematica, Strings, Characters, Polynomials, Solving Equations, Trigonometry, Calculus, 2D Ploting, Interactive Plots, Functions, Matlab vs. MAthematica
42 Numerical Data, Arthematic Operators, Data Types, Lists, Vectors, Matrices, String, Characters,
43 Mathematica Rule Based Programming, Functional Programming,
44 MAthematica Procedural Programming, Procedural Programs, Conditionals and Compositions, Looping Constructs, Errors, Modules,
45 Mathematica Predicates in Rule Based Programming, Patterns and Rules, Rules and Lists, Predicates, Blank, Blanksequence, BlackNullSequence, Number Puzzle,
46 Symbolic Mathematics and Programming, Rule Based Computation, Simplify, Expand, Solve, NSolve, Symbolic Visualisation,
47 Symbolic Computing in Matlab, Symbolic Algebra, sym, syms, Equations, Expressions, Systems of Equations, Calculus,

Views: 344
TO Courses

This Data Visualization Tutorial will start by explain what Data Visualization is, Why we use Data Visualization, major considerations for Data Visualization and the basics of different types of graphs.
Subscribe to Simplilearn channel for more Big Data and Hadoop Tutorials - https://www.youtube.com/user/Simplilearn?sub_confirmation=1
Check our Big Data Training Video Playlist: https://www.youtube.com/playlist?list=PLEiEAq2VkUUJqp1k-g5W1mo37urJQOdCZ
Big Data and Analytics Articles - https://www.simplilearn.com/resources/big-data-and-analytics?utm_campaign=BigData-Visualization-MiiANxRHSv4&utm_medium=Tutorials&utm_source=youtube
To gain in-depth knowledge of Big Data and Hadoop, check our Big Data Hadoop and Spark Developer Certification Training Course: https://www.simplilearn.com/big-data-and-analytics/big-data-and-hadoop-training?utm_campaign=BigData-Visualization-MiiANxRHSv4&utm_medium=Tutorials&utm_source=youtube
#bigdata #bigdatatutorialforbeginners #bigdataanalytics #bigdatahadooptutorialforbeginners #bigdatacertification #HadoopTutorial
- - - - - - - - -
About Simplilearn's Big Data and Hadoop Certification Training Course:
The Big Data Hadoop and Spark developer course have been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab.
Mastering real-time data processing using Spark: You will learn to do functional programming in Spark, implement Spark applications, understand parallel processing in Spark, and use Spark RDD optimization techniques. You will also learn the various interactive algorithm in Spark and use Spark SQL for creating, transforming, and querying data form.
As a part of the course, you will be required to execute real-life industry-based projects using CloudLab. The projects included are in the domains of Banking, Telecommunication, Social media, Insurance, and E-commerce. This Big Data course also prepares you for the Cloudera CCA175 certification.
- - - - - - - -
What are the course objectives of this Big Data and Hadoop Certification Training Course?
This course will enable you to:
1. Understand the different components of Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark
2. Understand Hadoop Distributed File System (HDFS) and YARN as well as their architecture, and learn how to work with them for storage and resource management
3. Understand MapReduce and its characteristics, and assimilate some advanced MapReduce concepts
4. Get an overview of Sqoop and Flume and describe how to ingest data using them
5. Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning
6. Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution
7. Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations
8. Understand HBase, its architecture, data storage, and working with HBase. You will also understand the difference between HBase and RDBMS
9. Gain a working knowledge of Pig and its components
10. Do functional programming in Spark
11. Understand resilient distribution datasets (RDD) in detail
12. Implement and build Spark applications
13. Gain an in-depth understanding of parallel processing in Spark and Spark RDD optimization techniques
14. Understand the common use-cases of Spark and the various interactive algorithms
15. Learn Spark SQL, creating, transforming, and querying Data frames
- - - - - - - - - - -
Who should take up this Big Data and Hadoop Certification Training Course?
Big Data career opportunities are on the rise, and Hadoop is quickly becoming a must-know technology for the following professionals:
1. Software Developers and Architects
2. Analytics Professionals
3. Senior IT professionals
4. Testing and Mainframe professionals
5. Data Management Professionals
6. Business Intelligence Professionals
7. Project Managers
8. Aspiring Data Scientists
- - - - - - - -
For more updates on courses and tips follow us on:
- Facebook : https://www.facebook.com/Simplilearn
- Twitter: https://twitter.com/simplilearn
- LinkedIn: https://www.linkedin.com/company/simplilearn
- Website: https://www.simplilearn.com
Get the android app: http://bit.ly/1WlVo4u
Get the iOS app: http://apple.co/1HIO5J0

Views: 4678
Simplilearn

When you analyze your Excel data using cluster analysis, it often helps to visualize the clusters using an XY scatter chart. Find out how to visualize table data in a chart in this tutorial. Watch more at http://www.lynda.com/Excel-tutorials/Up-Running-Excel-Cluster-Analysis/165438-2.html?utm_campaign=55QCaggZ9Lw&utm_medium=social&utm_source=youtube-earned.
This tutorial is a single movie from the Up and Running with Excel Cluster Analysis course by lynda.com author Curt Frye. The complete course is 1 hour and 10 minutes and shows how to perform cluster analysis using Excel.
Connect with lynda.com:
Facebook: http://bit.ly/fbldc
Twitter: http://bit.ly/ldctw
Google Plus: http://bit.ly/gplusldc
LinkedIn: http://bit.ly/linkldc

Views: 6500
LinkedIn Learning

Uses yhat rodeo that has IDE similar to RStudio and matlab.
Data file link: https://drive.google.com/open?id=1tHAdr3V1N8BzZShg0A5ZU6eAUN_9kZZf

Views: 1276
Bharatendra Rai

Data Analysis and Visualization is a Richfull series Directed to all students interested in Analysing and Visualizing Data using Excel, MATLAB and Wolfram Mathematica. This Course has been made by an expert prophesors in University of Wistern Australia, and Contains the main folowing Topics:
1 Data Visualization in Excel
2 Array Formula in Excel
3 2D Array Formula in Excel
4 Excel Macros
5 Why Matlab
6 Problem Solving in MATLAB
7 MATLAB Orientation - Data Types and Expressions
8 MATLAB Scripts and Functions, Storing Instructions in Files, Getting Help on Build-in Functions
9 Matrices in MATLAB
10 MATLAB Scripts and Functions
11 Random Numbers, Gaussian Random Numbers, Complex Numbers
12 An Examples of Script and Function Files
13 Control Flow, Flow Chart, Relational Operators, Logical Operators, Truth Table, if clause, elseif, Nested if statments, Switch Structure,
14 MATLAB Loops, Nested Loops, Repetition, while, For,
15 Problems with Scripts, Workspace, Why Functions, How to Write a MATLAB Function, Anonymous Functions,
16 MATLAB Programs Input / Output, Escape Characters, Formatted Output, Syntax of Conversion Sequence,
17 Defensive Programming, error, warning, msg, isnumeric, ischar, nargin, nargout, nargchk, narginchk, all,
18 Cell Arrays, Array Types to Store data, Normal Arrays, Curly Brackets, Round Brackets,
19 MATLAB Structures, What is a Structure?, Adding a Field to a Structure, Struct Function, Manipulate the Fields, Preallocate Memory for a Structure Array
20 Basic 2D Plotting, title, xlabel, ylabel, grid, plot
21 Multiple Plots, figure, hold on, off, legend Function, String, Axis Scaling, Subplot,
22 Types of 2D Plots, Polar Plot, Logarithmic Plot, Bar Graphs, Pie Charts, Histograms, X-Y Graphs with 2 y Axes, Function Plots,
23 3D Plot, Line Plot, Surface Plot, Contour plots, Cylinder Plots, mesh, surf, contour, meshgrid,
24 Parametric Surfaces, Earth, Triangular Prism, Generating Points, Default Shading, Shading Flat, Shading Interp,
25 Arrays vs. Matrix Operations,
26 Dot Products, Example Calculating Center of Mass, Center of Gravity,
27 Matrix Multiplication and Division, Matrix Powers, Matrix Inverse, Determinatnts, Cross Products,
28 Applications of Matrix Operations, Solving Linear Equations, Linear Transformations, Eigenvectors
29 Engineering Application of Solving Systems of Linear Equations, Systems of Linear Equations, Kirchhoff's Circuit Laws,
30 Symbolic Differentiation, sym, syms, diff
31 Numerical Differentiation, fplot, Forward Difference, Backward Difference, Central Difference,
32 Numerical Integration, Engineering Applications, Integration, Trapezoid Rule, Simpson's Rule,
33 Monte Carlo Integration,
34 Introduction to ODE in System Biology
35 Introduction to System Biology, Gene Circuits,
36 Solving ODEs in Matlab, Repressilator, Programming steps
37 Interpolation, Cubic Spline Interpolation, Nearest Neighbor, Cubic, Two Dimensional, Three Dimensional,
38 Curve Fitting, Empirical Modelling, Linear Regression, Polynomial Regression, polyfit, polyval, Least Squres,
39 Introduction to Mathematica,
40 Programming in Mathematica
41 Basic Function in Mathematica, Strings, Characters, Polynomials, Solving Equations, Trigonometry, Calculus, 2D Ploting, Interactive Plots, Functions, Matlab vs. MAthematica
42 Numerical Data, Arthematic Operators, Data Types, Lists, Vectors, Matrices, String, Characters,
43 Mathematica Rule Based Programming, Functional Programming,
44 MAthematica Procedural Programming, Procedural Programs, Conditionals and Compositions, Looping Constructs, Errors, Modules,
45 Mathematica Predicates in Rule Based Programming, Patterns and Rules, Rules and Lists, Predicates, Blank, Blanksequence, BlackNullSequence, Number Puzzle,
46 Symbolic Mathematics and Programming, Rule Based Computation, Simplify, Expand, Solve, NSolve, Symbolic Visualisation,
47 Symbolic Computing in Matlab, Symbolic Algebra, sym, syms, Equations, Expressions, Systems of Equations, Calculus,

Views: 158
TO Courses

Doing some basic visualizations with our Pandas dataframe in Python with Matplotlib.
Text-based tutorial: https://pythonprogramming.net/graph-visualization-python3-pandas-data-analysis/
Channel membership: https://www.youtube.com/channel/UCfzlCWGWYyIQ0aLC5w48gBQ/join
Discord: https://discord.gg/sentdex
Support the content: https://pythonprogramming.net/support-donate/
Twitter: https://twitter.com/sentdex
Facebook: https://www.facebook.com/pythonprogramming.net/
Twitch: https://www.twitch.tv/sentdex
G+: https://plus.google.com/+sentdex

Views: 21345
sentdex

Data Analysis and Visualization is a Rich-full series Directed to all students interested in Analyzing and Visualizing Data using Excel, MATLAB and Wolfram Mathematica. This Course has been made by an expert prophesiers in University of Western Australia, and Contains the main flowing Topics:
1 Data Visualization in Excel
2 Array Formula in Excel
3 2D Array Formula in Excel
4 Excel Macros
5 Why Matlab
6 Problem Solving in MATLAB
7 MATLAB Orientation - Data Types and Expressions
8 MATLAB Scripts and Functions, Storing Instructions in Files, Getting Help on Build-in Functions
9 Matrices in MATLAB
10 MATLAB Scripts and Functions
11 Random Numbers, Gaussian Random Numbers, Complex Numbers
12 An Examples of Script and Function Files
13 Control Flow, Flow Chart, Relational Operators, Logical Operators, Truth Table, if clause, elseif, Nested if statments, Switch Structure,
14 MATLAB Loops, Nested Loops, Repetition, while, For,
15 Problems with Scripts, Workspace, Why Functions, How to Write a MATLAB Function, Anonymous Functions,
16 MATLAB Programs Input / Output, Escape Characters, Formatted Output, Syntax of Conversion Sequence,
17 Defensive Programming, error, warning, msg, isnumeric, ischar, nargin, nargout, nargchk, narginchk, all,
18 Cell Arrays, Array Types to Store data, Normal Arrays, Curly Brackets, Round Brackets,
19 MATLAB Structures, What is a Structure?, Adding a Field to a Structure, Struct Function, Manipulate the Fields, Preallocate Memory for a Structure Array
20 Basic 2D Plotting, title, xlabel, ylabel, grid, plot
21 Multiple Plots, figure, hold on, off, legend Function, String, Axis Scaling, Subplot,
22 Types of 2D Plots, Polar Plot, Logarithmic Plot, Bar Graphs, Pie Charts, Histograms, X-Y Graphs with 2 y Axes, Function Plots,
23 3D Plot, Line Plot, Surface Plot, Contour plots, Cylinder Plots, mesh, surf, contour, meshgrid,
24 Parametric Surfaces, Earth, Triangular Prism, Generating Points, Default Shading, Shading Flat, Shading Interp,
25 Arrays vs. Matrix Operations,
26 Dot Products, Example Calculating Center of Mass, Center of Gravity,
27 Matrix Multiplication and Division, Matrix Powers, Matrix Inverse, Determinatnts, Cross Products,
28 Applications of Matrix Operations, Solving Linear Equations, Linear Transformations, Eigenvectors
29 Engineering Application of Solving Systems of Linear Equations, Systems of Linear Equations, Kirchhoff's Circuit Laws,
30 Symbolic Differentiation, sym, syms, diff
31 Numerical Differentiation, fplot, Forward Difference, Backward Difference, Central Difference,
32 Numerical Integration, Engineering Applications, Integration, Trapezoid Rule, Simpson's Rule,
33 Monte Carlo Integration,
34 Introduction to ODE in System Biology
35 Introduction to System Biology, Gene Circuits,
36 Solving ODEs in Matlab, Repressilator, Programming steps
37 Interpolation, Cubic Spline Interpolation, Nearest Neighbor, Cubic, Two Dimensional, Three Dimensional,
38 Curve Fitting, Empirical Modelling, Linear Regression, Polynomial Regression, polyfit, polyval, Least Squres,
39 Introduction to Mathematica,
40 Programming in Mathematica
41 Basic Function in Mathematica, Strings, Characters, Polynomials, Solving Equations, Trigonometry, Calculus, 2D Ploting, Interactive Plots, Functions, Matlab vs. MAthematica
42 Numerical Data, Arthematic Operators, Data Types, Lists, Vectors, Matrices, String, Characters,
43 Mathematica Rule Based Programming, Functional Programming,
44 MAthematica Procedural Programming, Procedural Programs, Conditionals and Compositions, Looping Constructs, Errors, Modules,
45 Mathematica Predicates in Rule Based Programming, Patterns and Rules, Rules and Lists, Predicates, Blank, Blanksequence, BlackNullSequence, Number Puzzle,
46 Symbolic Mathematics and Programming, Rule Based Computation, Simplify, Expand, Solve, NSolve, Symbolic Visualisation,
47 Symbolic Computing in Matlab, Symbolic Algebra, sym, syms, Equations, Expressions, Systems of Equations, Calculus,

Views: 186
TO Courses

Views: 175
TO Courses

The R programming language is experiencing rapid increases in popularity and wide adoption across industries. This popularity is due, in part, to R’s rich and powerful data visualization capabilities. While tools like Excel, Power BI, and Tableau are often the go-to solutions for data visualizations, none of these tools can compete with R in terms of the sheer breadth of, and control over, crafted data visualizations.
As an example, R’s ggplot2 package provides the R programmer with dozens of print-quality visualizations – where any visualization can be heavily customized with a minimal amount of code.
In this webinar Dave Langer will provide an introduction to data visualization with the ggplot2 package. The focus of the webinar will be using ggplot2 to analyze your data visually with a specific focus on discovering the underlying signals/patterns of your business.
Attendees will learn how to:
• Craft ggplot visualizations, including customization of rendered output.
• Choose optimal visualizations for the type of data and the nature of the analysis at hand.
• Leverage ggplot2’s powerful segmentation capabilities to achieve “visual drill-in of data”.
• Export ggplot2 visualizations from RStudio for use in documents and presentations.
Repository:
https://code.datasciencedojo.com/datasciencedojo/tutorials/tree/master/Introduction%20to%20Data%20Visualization%20with%20R%20and%20ggplot2
--
Learn more about Data Science Dojo here:
https://hubs.ly/H0hz6V50
Watch the latest video tutorials here:
https://hubs.ly/H0hz6W80
See what our past attendees are saying here:
https://hubs.ly/H0hz5ZJ0
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Like Us: https://www.facebook.com/datasciencedojo/
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Also find us on:
Instagram: https://www.instagram.com/data_science_dojo/
Vimeo: https://vimeo.com/datasciencedojo
#rtutorial #datavisualization

Views: 113104
Data Science Dojo

Python programming language allows sophisticated data analysis and visualization. This tutorial is a basic step-by-step introduction on how to import a text file (CSV), perform simple data analysis, export the results as a text file, and generate a trend. See https://youtu.be/pQv6zMlYJ0A for updated video for Python 3.

Views: 213707
APMonitor.com

Views: 283
TO Courses

Find out how you can visualize survey results in Excel. This is specially good if you have conducted an employee satisfaction survey and you'd like to present the results.
Of course the chart can also be applied to any survey data that uses a Likert scale (which is based on people's attitudes or emotions to a topic). This can range from strongly disagree, disagree, neutral, agree and strongly agree.
I show how you can create a stacked bar chart, as well as a diverging stacked bar chart as shown on Jon Peltier's website here (https://peltiertech.com/charting-survey-results/).
Peltier Tech Chart Utility for Excel: https://peltiertech.com/Utility20/PeltierTechUtility.html
Link to Custom Formatting Blog Post: https://www.xelplus.com/excel-custom-number-formatting_1/
⯆ DOWNLOAD the workbook here: https://www.xelplus.com/charting-survey-results-excel/
★ My Online Excel Courses ► https://courses.xelplus.com
✉ Subscribe & get my TOP 10 Excel formulas e-book for free
https://www.xelplus.com/free-ebook/
EXCEL RESOURCES I Recommend: https://www.xelplus.com/resources/
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Microsoft Surface: https://microsoft.msafflnk.net/c/1327040/451518/7593
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More resources on my Amazon page: https://www.amazon.com/shop/leilagharani
Note: This description contains affiliate links, which means at no additional cost to you, we will receive a small commission if you make a purchase using the links. This helps support the channel and allows us to continue to make videos like this. Thank you for your support!
#MsExcel

Views: 13993
Leila Gharani

Views: 90
TO Courses

Download Files: https://people.highline.edu/mgirvin/AllClasses/218_2016/218Excel2016.htm
In this video learn about:
(00:28) Define Charts. What do Charts do?
(01:12) Effective Charts: No Chart Junk. Example of Chart Junk.
(02:54) Types of Charts: 11 different chart types.
(06:55) Terminology for Chart Elements:
1. (08:15) Column Charts
2. (12:15) Bar Charts
3. (13:41) Pie Charts
4. (14:25) Stacked Column Charts
5. (14:25) Clustered Column Charts
6. (17:44) Histogram. Two Examples: 1) Retail Sales Data Histogram with FREQUENCY Array Function. 2) Count Web Transactions by Hour with PivotTable.
7. (28:45) Line Charts. Time Series Chart.
8. (31:54) X-Y Scatter for Sample Data.
9. (34:45) Break Even Chart X-Y Scatter
10. (46:05) Combo Charts
11. (47:30) Bubble Chart
(51:19) Summary

Views: 82626
ExcelIsFun

In part 2 of our customer complaint data analysis case study, we analyze regional trends and visualize the results using sparklines, tables, 3D maps. Check out http://chandoo.org/wp/2016/02/18/analyzing-customer-complaints-2/ for full explanation & download workbooks.

Views: 2518
Learn Excel from Chandoo

Views: 266
TO Courses

Views: 56
TO Courses

Learn Excel in 6 Weeks
Earn a verified certificate. Get started, sign up today.
https://www.edx.org/course/excel-data-analysis-visualization-microsoft-dat206x
About this course
Microsoft Excel is one of the most widely used solutions for analyzing and visualizing data. Beginning with Excel 2010, new tools were introduced to enable the analysis of more data, resulting in less time spent creating and maintaining the solutions and enabling a better understanding of what the data means. This better understanding is facilitated by improved visualizations and more sophisticated business logics.
Do you want to take your advanced Excel skills to the next level? Are you exploring new ways to get and transform your data and create visualization?
Check out this practical new course, taught in short, lecture-based videos, complete with demos, quizzes, and hands-on labs, and skill up on many of the built-in business intelligence (BI) tools and features in Excel. Learn how to present the most relevant data with dynamic reports and presentations, as expert Dany Hoter walks you through all the important details.
In this course, get an introduction to the latest versions of these new tools in Excel 2016. See how to import data from different sources, create mashups between data sources, and prepare the data for analysis. After preparing the data, learn about how business calculations—from simple to more advanced—can be expressed using the DAX calculation engine. And see how these different technologies work together inside Excel. Learn how the data can be visualized and shared to the Power BI cloud service, after which it can be used in dashboards, queried using plain English sentences, and consumed on mobile devices.

Views: 61
Bobby News Hub

About the webinar:
Data analytics using Python's numpy, scikit, pandas modules
Data Visualisation using Python's matplotlib module
Big Data Analytics using PySpark with spark-core and mllib
About the Speaker:
The Speaker is Vinod Venkatraman. A passionate technology man of multiple talents, Vinod is spearheading the core technology initiatives at Great Learning. Be it a seamless user experience, the collection of thousands of critical user action data points daily or rolling out a great new feature, Vinod obsesses about it as fervently as he does create a new tune on his guitar. Vinod holds a B.Tech from IIT Bombay in Computer Science. He spent 7 years at Stratify Inc, a Silicon Valley-based product firm, to start his career, followed by 4 years at Flipkart, where he rose to be Software Architect. He now looks forward to leading the effort to build his own unicorn.
Subscribe Our Channel For More Updates : https://goo.gl/suzeTB
About us:
HackerEarth is the most comprehensive developer assessment software that helps companies to accurately measure the skills of developers during the recruiting process. More than 500 companies across the globe use HackerEarth to improve the quality of their engineering hires and reduce the time spent by recruiters on screening candidates. Over the years, we have also built a thriving community of 2.5M+ developers that come to HackerEarth to participate in hackathons and coding challenges to assess their skills and compete in the community.

Views: 3177
HackerEarth

Views: 58
TO Courses

Learn the basics of Excel, one of the most popular data analysis tools, to help visualize and gain insights from your data.
Take this course free on edX: https://www.edx.org/course/introduction-data-analysis-using-excel-microsoft-dat205x#!
ABOUT THIS COURSE
The ability to analyze data is a powerful skill that helps you make better decisions. Microsoft Excel is one of the top tools for data analysis and the built-in pivot tables are arguably the most popular analytic tool.
In this course, you will learn how to perform data analysis using Excel’s most popular features. You will learn how to create pivot tables from a range with rows and columns in Excel. You will see the power of Excel pivots in action and their ability to summarize data in flexible ways, enabling quick exploration of data and producing valuable insights from the accumulated data.
Pivots are used in many different industries by millions of users who share the goal of reporting the performance of companies and organizations. In addition, Excel formulas can be used to aggregate data to create meaningful reports. To complement, pivot charts and slicers can be used together to visualize data and create easy to use dashboards.
You don’t need any previous knowledge of Excel to take this course and you are welcome to use any supported version of Excel you have installed in your computer.
After taking this course you’ll be ready to continue to our more advanced Excel course, Analyzing and Visualizing Data with Excel.
WHAT YOU'LL LEARN
- Create flexible data aggregations using pivot tables
- Represent data visually using pivot charts
- Calculate margins and other common ratios using calculation on pivot table
- Filter data using slicers in multiple pivot tables
- Create aggregate reports using formula based techniques

Views: 17210
edX

This is an introduction to data analysis using MATLAB. This will be particularly useful for people interested in analysis of data for research purposes. We will see data import, visualization, statistics, writing data, reading data, basic simulation, image analysis...and so on.
P.S: MATLAB is easy to learn and start with for those who are new to programming.
For programs, write me at [email protected]

Views: 863
Utpal Kumar

Views: 86
TO Courses

Download file from “Highline BI 348 Class” section: https://people.highline.edu/mgirvin/excelisfun.htm
Review how to use Logical Formulas to add Conditional Formatting to Data Sets:
1) (00:11) Introduction
2) (00:33) Built-in Feature: Conditionally Format Budget Data when Actual Exceeds Budgeted Amounts.
3) (02:26) Logical Formula & Mixed Cell References to Format Row: Conditionally Format Budget Data when Actual Exceeds Budgeted Amounts:
4) (05:24) Cell Chart with Data Bars: Conditionally Format Budget Data when Actual Exceeds Budgeted Amounts:
5) (07:29) AND Function and Mixed Cell References to Conditionally Format Records that math two Criteria.
Download Excel File Not: After clicking on link, Use Ctrl + F (Find) and search for “Highline BI 348 Class” or for the file name as seen at the beginning of the video.

Views: 13314
ExcelIsFun

Download Link http://bit.ly/2H1GsYR New to Excel dashboards? Learn how to create dashboard in Excel to improve your Excel, data analysis and data visualization skills. You can make dashboard in excel in under 5 minutes after watching this video without any additional software of plugin.
Download this excel dashboard template for free from my website http://www.myelesson.org/excel-training-videos/create-excel-dashboard to make excel dashboard and reports for yourself.
10 Most Used Formulas MS Excel
https://www.youtube.com/watch?v=KyMj8HEBNAk
Learn Basic Excel Skills For Beginners || Part 1
https://www.youtube.com/watch?v=3kNEv3s8TuA
10 Most Used Excel Formula
https://www.youtube.com/watch?v=2t3FDi98GBk
**Most Imporant Excel Formuls Tutorials**
Learn Vlookup Formula For Beginners in Excel
https://www.youtube.com/watch?v=vomClevScJQ
5 Excel Questions Asked in Job Interviews
https://www.youtube.com/watch?v=7Iwx4AMdij8
Create Speedometer Chart In Excel
https://www.youtube.com/watch?v=f6c93-fQlCs
Learn the Basic of Excel for Beginners || Part 2
https://www.youtube.com/watch?v=qeMSV9T1PoI
Create Pareto Chart In Excel
https://www.youtube.com/watch?v=2UdajrDMjRE
How to Create Dashboard in Excel
https://www.youtube.com/watch?v=RM8T1eYBjQY
Excel Interview Questions & Answers
https://www.youtube.com/watch?v=Zjv1If63nGU
To watch more videos and download the files visit http://www.myelesson.org
To Buy The Full Excel Course visit . http://www.myelesson.org/product or call 9752003788
Connect with us on Facebook - https://www.facebook.com/excelmadeasy/
Connect with us on Twitter - https://twitter.com/Excelmadeasy 10 Most Used Formulas MS Excel
https://www.youtube.com/watch?v=KyMj8HEBNAk
Learn Basic Excel Skills For Beginners || Part 1
https://www.youtube.com/watch?v=3kNEv3s8TuA
10 Most Used Excel Formula
https://www.youtube.com/watch?v=2t3FDi98GBk
**Most Imporant Excel Formuls Tutorials**
Learn Vlookup Formula For Beginners in Excel
https://www.youtube.com/watch?v=vomClevScJQ
5 Excel Questions Asked in Job Interviews
https://www.youtube.com/watch?v=7Iwx4AMdij8
Create Speedometer Chart In Excel
https://www.youtube.com/watch?v=f6c93-fQlCs
Learn the Basic of Excel for Beginners || Part 2
https://www.youtube.com/watch?v=qeMSV9T1PoI
Create Pareto Chart In Excel
https://www.youtube.com/watch?v=2UdajrDMjRE
How to Create Dashboard in Excel
https://www.youtube.com/watch?v=RM8T1eYBjQY
Excel Interview Questions & Answers
https://www.youtube.com/watch?v=Zjv1If63nGU

Views: 455622
My E-Lesson

Learn how Visualize to Visualize Data in Excel 2016 with these 5 amazing Visualization Tips. In this tutorial our Excel instructor will have you teach you how to use Microsoft Excel 2016 to visualize your data using excel charts.
Please subscribe to your Youtube Channel today!

Views: 5459
Learn iT! Training