- 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
- Data Visualization
- Data Storytelling
- Knime Academy Data Science
- Gertaone Trading School-Preschool
- Pinbar Trading Strategy
- Price Action Trading Strategy
- 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
- Power Pivot-DAX
- Power Query
- Certification Wiki
- KPI-Dashboard
- Insta-DE
- WKR-DE
- Desta-DE
- R Programming
Codepedia
Coding is awesome
I learn some of software and programming such as:
*Microsoft Excel
*Macro-VBA
*Power Query / M Formula language (Functional Programming)
*Data Model & DAX (Data analysis expressions)
*Microsoft Power BI
*Tableau
*SQL
*R Programming
*Python
The code documentation is the backbone of every application or programming language. That’s why I creating my personal codepedia (wikipedia of my code).
This is my codepedia site: codepedia-cevi
December 2016