- Big Data Analytics (Bank of Sulselbar)
- Ruhimat Game of Trust
- Data-Driven-Banking (Bank of DKI)
- IT Risk Management
- System Analyst
- Data-Driven-Banking
- Data Driven Decision
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- Knime Academy Data Science
- Gertaone Trading School-Preschool
- Pinbar Trading Strategy
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- Price Action Trading Intro
- Dow Theory Trading
- Knime Academy 101
- Data-Driven Impact
- Elliot Wave Trading
- Chart Pattern Trading
- Candlestick Price Action Trading
- Support & Resistance Trading
- Fundamental-News Trading
- Fundamental Analysis of Trading
- BI & Visual Analytics-Tableau Overview
- Use Case Business Intelligence
- Knime Data Science & ML
- Knime Text Mining
- Knime Advanced Training
- Knime Beginner Training
- BI & Visual Analytics-Tableau
- Intro to Web Development
- Applied Statistics
- Tableau Desktop Specialist
- Hands-On Tableau Workshop
- Tableau Public
- DWBI
- Operations Research 101
- Machine learning 101
- DataViz in R
- Regression 101 in R
- HOPR
- Data cleaning 101 in R
- Zeitreihenanalyse-DE
- Open Refine 101
- Colorology in R
- Default R Graphs
- Python for Data Science
- Data Science-HR
- EDA with R
- People Analytics
- Cevipedia
- R-Shiny
- Github
- BI-Tableau
- BI-Power BI
- Codepedia
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- Power Query
- Certification Wiki
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- Insta-DE
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- R Programming
Power Query
The Best Transformation and Data Manipulation Tool for Excel
What is Power Query?
Power Query is a data connection technology that enables you to discover, connect, combine, and refine data sources to meet your analysis needs. Read more at: Power Query
Power Query has programming language call M. The Power Query M formula language is optimized for building highly flexible data mashup queries. It’s a functional, case sensitive language similar to F#. More about power Query: Power Query M Reference
I learn Power Query during my work as working student at my university (HTW Berlin-University of Applied Sciences), start: september 2016.
My project is to automate my University reporting for Federal Statistical Office of Germany (destatis) .
September 2016