Moving from data visualization into deeper, more advanced statistical analytics in Power BI? This course will improve analytical skills for data visualization-savvy Power BI users who want to harness the analytical power of R from within Power BI.
Together, Power BI and R offer accessible analytics by allowing a combination of easy-to-use data visualization along with industry-standard, robust statistical computation. Learners will review a wide range of machine learning algorithms and learn how descriptive, prescriptive, predictive, and visually appealing analytical solutions can be designed with R and Power BI.
This class is for Power BI users who are comfortable with the product and are ready to transition to from being a data-savvy user to being a data analyst using sound statistical tools to perform advanced analytics.
Before attending this course, students should have taken or be familiar with the contents presented in the Analyzing Data in Power BI class.
What You Will Learn
- To install and configure R in Power BI.
- Use the Query Editor and Run Scripts. Use an external integrated development environment
- To use R Packages in the Power BI Service.
- The 3 ways of using R in Power BI: R-powered Custom Visuals, R Visuals, and R Scripts
Module 1: Configure R in Power BI
Module 2: Using an External R IDE
Module 3: R Packages in the Power BI Service
Module 4: Creating Visuals from R Script Data
Module 5: Creating R Visuals
Module 6: Creating R-Powered Custom Visuals
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