data_science.md

Disciplines of Data Science

• What is data science: https://www.youtube.com/watch?v=xC-c7E5PK0Y
• Computational Stats: https://www.coursera.org/specializations/statistics
• Software Development: https://www.youtube.com/watch?v=A4dXZkjWTg0
• Machine Learning: https://www.youtube.com/watch?v=HcqpanDadyQ
  • Statistical Learning
  • Deep Learning: https://www.youtube.com/watch?v=aircAruvnKk
  • Others (Trees, Boosting, etc.)
• Data visualization:
  • Python: https://towardsdatascience.com/5-quick-and-easy-data-visualizations-in-python-with-code-a2284bae952f
  • Tableau: https://www.tableau.com/learn/articles/data-visualization
• Data Processing: https://medium.com/@harrypotter0/an-introduction-to-data-analysis-with-pandas-27ecbce2853
• Data Mining: https://www.reddit.com/r/explainlikeimfive/comments/50hzlv/eli5_what_is_data_mining/

Examples of Data Science Companies

• Consulting: https://www.bcg.com/en-ca/beyond-consulting/bcg-gamma/default.aspx
• Sports Analytics: https://www.quantumblack.com/
• Ecommerce: https://medium.com/data-shopify/how-shopify-uses-recommender-systems-to-empower-entrepreneurs-99553b407944

Online courses

• [Most important] Berkeley intro to data science: http://data8.org/
• Machine learning coursera: https://www.coursera.org/learn/machine-learning
• Deep Learning coursera: https://www.coursera.org/specializations/deep-learning
• High-level overview (for non technical people): https://www.coursera.org/learn/ai-for-everyone

Courses

• Prob/Stats: MATH 323/324
• CS fundamentals: COMP 250/251
• Lin Alg: MATH 223
• ML: COMP 551
• AI: COMP 424
• Others: https://medium.com/mcgill-artificial-intelligence-review/ai-courses-at-mcgill-d10215d65863

Textbooks

• Statistical Learning (beginner): https://www-bcf.usc.edu/~gareth/ISL/
• Statistical Learning (advanced): https://web.stanford.edu/~hastie/Papers/ESLII.pdf
• Deep Learning (adv): https://www.deeplearningbook.org/
• Artificial Intelligence: http://aima.cs.berkeley.edu/

Activities

• Events: https://www.meetup.com/
• AI Club: https://mcgillai.com/

Platforms

• Competitions: https://www.kaggle.com/
• Search Engine: https://toolbox.google.com/datasetsearch

Grad degrees

• Computer Science, ML focus
• Computer Science, Data Science focus
• Data Science
• Statistics
• Applied Mathematics
• Any PhD, as long as it is quantitative
  • Epidemiology
  • Education: https://www.linkedin.com/in/elena-grewal/
  • Poli Sci
  • Engineering
  • Operations Research