Data Science & Data Analytics learning resources

Below I share a list of resources I find valuable to get necessary skills for Data Analysts and Data Scientists. I got many questions from people about it and I hope these resources will be useful for those who want to get started in data science or data analytics.

Last update: 2022–03–25.

Data Analytics

• Data Analyst Nanodegree by Udacity: covers the data analysis process of wrangling, exploring, analyzing, and communicating data, separate part on practical statistics and experimentation. Lots of practical cases with python. It costs money, but there are discount periods.
• Intro to Data Analysis by Udacity: intro to data analysis with numpy and pandas, free.

Business Analytics

• Master Reporting Automation with Google Sheets: course by colleague from Bolt — learn business reporting and modeling with spreadsheets. Use code #KNOWLEDGEISFREE to get 3 days free access to the course

Statistics

• Statistics by Udacity
• My talk about AB tests and experimentation

Machine Learning

• Machine Learning by Anrdew Ng on Coursera: Old, but Gold, gives a good theoretical background on ML.