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PRODID:-//McTimothy Associates
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X-WR-CALNAME:McTimothy Associates
X-ORIGINAL-URL:https://www.mctimothyassociates.com/product/intermediate-power-bi-for-data-analysis-4/
X-WR-CALDESC:Intermediate Power Bi For Data Analysis
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DTSTART;TZID=Europe/Paris:20251211T100000
DTEND;TZID=Europe/Paris:20251213T160000
SUMMARY:Intermediate Power Bi For Data Analysis
DESCRIPTION:Intermediate Power BI for Data Analysis   Overview This course is intended as a continuation of our introductory-level courses in Power BI (Data analysis and visualization with  with Power BI ). It covers common intermediate-level tasks and some of Power BI’s most desirable new features. Prerequisites Before attending this course, students should have: - General knowledge equivalent to what is covered in Data analysis and visualization with  with Power BI  . At Course Completion After completing this course, students will be able to: • Import data from PDFs, regions of web pages, and collections of files • Characterize data with data profiling • Merge mismatched data sets with fuzzy matching • Generate custom columns in Power Query • Perform advanced data modeling • Use Power BI time intelligence • Work with custom scripts in R and Python • Create KPIs and scorecards • Use advanced report design techniques • Use advanced dashboard design techniques • Perform basic statistical analysis in Power BI Duration 3days Course Outline Intermediate Power Query Importing from PDFs Finding data in web pages Getting tabular data Getting data by providing an example Importing the contents of a folder Using fuzzy matching to combine disparate data sets Creating custom columns in Power Query Common math & string operations M script Columns by example Intermediate Data Modeling Adding What-If Parameters Grouping and Binning Using Time Intelligence Generating DAX with Quick Measures Script Visuals Creating an R script visual Installing an R environment Creating a Python visual Installing a Python environment Advanced Report Design Using report themes Creating your own theme Conditional formatting in tables and matrices Using drill through in your reports Adding data-driven images Advanced Dashboard Design Using dashboard themes Using the KPI visual Using the Multi KPI visual Adding KPIs and trend analysis with DAX Strategies for adding KPIs to tables & matrices Importing from Excel data model Conditional formatting The DAX UNICHAR function Image embedding Analytics Characterizing your data Revisiting the data profiler Getting help from custom visuals Moving averages ARIMA Linear regression in R Time series forecasting in Python
URL:https://www.mctimothyassociates.com/product/intermediate-power-bi-for-data-analysis-4/
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