• What do Hiring Managers Look For in a Data Scientist’s CV?
• Interesting books:
  • Python Data Science Handbook; Python Data Science Handbook @ SFU Library
  • Python for Data Analysis; Python for Data Analysis @ SFU Library
  • Data Science from Scratch; Data Science from Scratch @ SFU Library
  • Think Like a Data Scientist; Think Like a Data Scientist @ SFU Library
• Python tutorials (for non-Python programmers):
  • Python for Programmers, collection of links from the Python wiki.
  • Learn Python Programming: The Definitive Guide.
  • Python for Programmers, in “Python 3 Patterns, Recipes and Idioms”.
• Python Data Science Handbook at GitHub

References

• NumPy reference
• Pandas documentation
  • Pandas API Reference
• SciPy Reference
• StatsModels documentation
• Scikit-learn user guide
  • Scikit-learn reference
• Spark DataFrames guide
  • Spark SQL/DataFrames reference

Extras

• Data Science Workflow: Overview and Challenges
• For Big-Data Scientists, ‘Janitor Work’ Is Key Hurdle to Insights
• 2017 The State of Data Science & Machine Learning
• One Data Science Job Doesn’t Fit All (at LinkedIn)
• Machine learning data sources:
  • mldata.org
  • UCI Machine Learning Repository
  • KDnuggets dataset list
  • Kaggle
• Andrew Ng's Coursera course "Machine Learning"
• Berkeley DS 100, Principles and Techniques of Data Science