30 Days of Python - Github

30 Days of Python - Github

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Data Mining and Machine Learning Courses

UDEMY: Data analyzing and Machine Learning Hands-on with KNIME

UDEMY: Machine Learning, Data Science and Deep Learning with Python

UDEMY: Python for Data Science and Machine Learning Bootcamp

UDEMY: Machine Learning A-Z™: Hands-On Python & R In Data Science

FUTURELEARN: Data Mining with Weka 

Data Science and Analytics Courses

UDEMY: The Data Science Course 2022: Complete Data Science Bootcamp

UDEMY: The Data Analyst Course: Complete Data Analyst Bootcamp 2022 

UDEMY: The Complete SQL Bootcamp 2022: Go from Zero to Hero

UDEMY: Advanced SQL Bootcamp 

UDEMY: Statistics for Data Science and Business Analysis

UDEMY: Data Science A-Z™: Real-Life Data Science Exercises Included

UDEMY: Learning Python for Data Analysis and Visualization 

DATACAMP: Data Analyst with Python 

70 Data Science Cheat Sheets for Everyone in 2022

 

Consultancy Work Template for an Internet Based Service Company

Discover the company data base

1. Query of the raw DB tables
2. Find out if there is a Primary Key for each table 
3. Find out if there is a Meta Data table
4. Try to draw the Relation Diagram
5. Don't leave any of the fields unnamed and no meta data entry
6. Try to find out data patterns
7. Try to locate any faulty data or blanks in the data (imputation)
8. Use WEKA
9. Use KNIME
10. Data warehouse design