Recommended Resources

The following is a list of open-source and private resources to improve your data science and machine learning tradecraft. By no means it is an all-inclusive roster, instead some of the ones I have used before.

Web Sites

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• The Algorithms
• Data Science Resource Hub - SAS
• Data Science Central
• Data, AI & Machine Learning
• Storytelling with Data

Courses

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• Introduction to Data Science | edx IBM
• The Data Scientist’s Toolbox
• Analyze Data with Pandas
• Professional Certificate in Data Science | edx Harvard
• Applied Data Science Program: Leveraging AI for Effective Decision-Making | MiT
• Deep Learning | Deeplizard
• Deep Learning Toolbox | MathWorks

Projects & Books

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• Big Book of R
• Data Science on the GCP
• 100+ Python projects
• R Books Collection
• 40+ Modern ML Tutorials

Visualization Package/Libraries

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• matplotlib
• ggplot2
• seaborn
• Google Charts
• Grafana
• Datawrapper
• Visual Cinnamon

BI Tools & Platforms

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• KNIME
• SAS Enterprise Miner
• IBM Cognos Analytics
• Splunk MLTK
• Shiny
• Mode
• OSF
• Quarto
• RStudio
• Anaconda
• Orange
• Spyder
• Jupyter

Community

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• Data Science Hangout by Posit
• The Data Canteen by Ted Hallum
• Data Humans Podcast by Libby Heeren
• Data Science Leaders Podcast by Kjell Carlsson
• Data Skeptic Podcast by Kyle Polich
• Super Data Science Podcast by Jon Krohn