Data Science Workshop Lecture Notes

1. Workshop Introduction [Workshop Introduction slides]
   1. This Workshop [This Workshop slides]
   2. What is Data Science? [What is Data Science? slides]
   3. Why Data Science? [Why Data Science? slides]
   4. Data Pipeline [Data Pipeline slides]
2. Jupyter Notebooks [Jupyter Notebooks slides]
3. Python and Pandas [Python and Pandas slides]
   1. NumPy [NumPy slides]
   2. NumPy Exercise [NumPy Exercise slides]
   3. Pandas [Pandas slides]
   4. Working With Pandas [Working With Pandas slides]
   5. Pandas Exercises [Pandas Exercises slides]
4. Machine Learning Basics [Machine Learning Basics slides]
   1. Machine Learning [Machine Learning slides]
   2. Scikit-Learn [Scikit-Learn slides]
   3. ML Exercise [ML Exercise slides]

Guest Lecture Slides

• Statistics for Data Science [Statistics for Data Science slides]
  1. About Me [About Me slides]
  2. What is Data Science? [What is Data Science? slides]
  3. Why Data Science? [Why Data Science? slides]
  4. Real Data [Real Data slides]
  5. Real Questions [Real Questions slides]
  6. Data Pipeline [Data Pipeline slides]
  7. Inferrential Stats [Inferrential Stats slides]
  8. Statistical Tests [Statistical Tests slides]
  9. Doing Tests [Doing Tests slides]
  10. Abusing Tests [Abusing Tests slides]
  11. Approaching Data [Approaching Data slides]
  12. Conclusion [Conclusion slides]
  13. More? [More? slides]
• Ethics in Data Science [Ethics in Data Science slides]
  1. About Me [About Me slides]
  2. What is Data Science? [What is Data Science? slides]
  3. Honest Questions [Honest Questions slides]
  4. Honest Experiments [Honest Experiments slides]
  5. Honest Cleaning [Honest Cleaning slides]
  6. Honest Statistics [Honest Statistics slides]
  7. Machine Learning [Machine Learning slides]
  8. ML Accuracy [ML Accuracy slides]
  9. Bias and ML [Bias and ML slides]
  10. Data Privacy [Data Privacy slides]

Workshop code and exercises.