Platform Access

R For Power BI Users - Part 1

Amplify your Power BI visualizations with R's comprehensive statistical analysis and graphics language. R as a programming language provides for an in-depth statistical computing and advanced data visualization. These functionalities, when combined with Power BI, can significantly enhance your data analysis and reporting visuals.

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power bi r integration course,

Here's What You'll Get

With The Course

Over 3 hours of intensive training videos

R For Power BI Users

Five resource pack

R For Power BI Users Part 1

Amplify Your Power BI Visualizations with R

  • Provides in-depth statistical computing and advanced data visualization.
  • Teaches you how to integrate R in Power BI and use its functions appropriately.

Details Of What You Will Learn

During This Course

  • Discover - the use cases of R to understand when to use it in Power BI
  • Complement - Power BI with R
  • Create - statistical analysis and data visualizations
R For Power BI Users Part 1

This Course Module is Tailored for:

Data Analysts

Reporting Managers

Excel Users

Participants of this module must be familiar with variable types, descriptive statistics, inferential statistics.

LEARN HOW TO

Utilize the key features within the R for

Power BI Users

R For Power BI Users - Part 1
  • Familiarity with variable types
  • Descriptive statistics
  • Inferential statistics
  • No prior coding knowledge assumed

Course Curriculum

1. Introduction to R in Power BI

  • Introduction to R in Power BI - Resource Pack
  • Welcome and Prerequisites
  • Why R in Power BI?
  • Download R and Rstudio
  • First steps in RStudio
  • Configure R with Power BI
  • How R talks with Power BI

2. Fundamentals of R Programming

  • Fundamentals of R Programming - Resource Pack
  • Working with objects
  • Object classes
  • Working with vectors
  • Working with data frames
  • Working with factors
  • Working with packages
  • Locating helpful packages
  • Column operations in dplyr
  • Row operations in dplyr
  • Pipe operations in dplyr

3. Data Visualization in R

  • Data Visualization in R - Resource Pack
  • Intro to ggplot2
  • Plotting ggplot2 with esquisse
  • Bivariate visualizations
  • Labels, colors and theme

4. Capstone: R Enhanced Power BI

  • Capstone: R Enhanced Power BI - Resource Pack
  • Capstone introduction
  • Building the histogram
  • Building the t-test
  • Building the Power BI report

5. Conclusion and Next Steps

  • Conclusion and Next Steps - Resource Pack
  • Troubleshooting R
  • Making a reprex
  • Learning resources
  • Thank you and what's next

What our Students Say

Your Instructor

George Mount

George Mount

  • Over ten years of analytics experience ranging from retail to healthcare.
  • Author of the O'Reilly book Advancing into Analytics: From Excel to Python and R
  • Manages a popular data analytics blog at [Stringfest Analytics](http://stringfestanalytics.com/blog/)
  • Focuses on statistical programming and general analytics literacy

Frequently Asked Questions

  • How long do I have access to the course? You have access to this course as long as you have Enterprise DNA Membership Subscription.

  • Can I purchase a single course instead of the full Enterprise DNA membership? The option to purchase a single course has been discontinued. To access any of our courses, you will need to upgrade to full membership here.
  • Do you offer one-off support or coaching? All support around Power BI and Enterprise DNA's online training content now occurs at the Enterprise DNA Forum. You must have an Enterprise DNA Membership or CoE access to receive support.

  • What if I need to train my team? We recommend exploring Enterprise DNA Center of Excellence platform. To learn more, see here.

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& skill-building resourcess

For Individuals

Enterprise DNA

Membership

Empowering the most valuable Power BI users to expand their analytical thinking and insight generation possibilities

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For Teams

Enterprise DNA

Center of Excellence

Training, tools, and guidance to unify and upskill the Power BI analysts in your workplace