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PRODID:-//McTimothy Associates
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X-WR-CALNAME:McTimothy Associates
X-ORIGINAL-URL:https://www.mctimothyassociates.com/product/power-bi-advanced-analytics-with-python-2/
X-WR-CALDESC:Power BI Advanced Analytics With Python
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DTSTART;TZID=Europe/Paris:20250904T100000
DTEND;TZID=Europe/Paris:20250906T160000
SUMMARY:Power BI Advanced Analytics With Python
DESCRIPTION:Power BI Advanced Analytics with R   Overview 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. Participants  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. Audience 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. Prerequisites Before attending this course, students should have taken or be familiar with the contents presented in the Data analysis and visualization with Power BI.   Duration 3 Days   Objectives 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. Course Outline Module 1: Configure R in Power BI Installing R Using R in Query Editor Running R Scripts Module 2 : Using an External R IDE Enable the External IDE Launching an R IDE from Power BI Module 3: R Packages in the Power BI Service R Package Requirements and Limitations Supported R Packages Module 4: Creating Visuals from R Script Data Advantages/Disadvantages Using R Script to Import/Modify Data Module 5 : Creating R Visuals Advantages/Disadvantages R Script Security R Script Error Experience Known Limitations Using R Visuals in Power BI Module 6 : Creating R-Powered Custom Visuals Advantages/Disadvantages of R-Powered Visuals Acquiring R-Powered Visuals Using R-Powered Visuals Building R-Powered Visuals
URL:https://www.mctimothyassociates.com/product/power-bi-advanced-analytics-with-python-2/
LOCATION:The professional Place, 12B Olumoroti Street Gbagada Phrase 2, Gbagada Lagos
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