Week 1-3

1. Data Analysis in Excel
   • https://www.youtube.com/watch?v=OOWAk2aLEfk
   • https://www.educba.com/data-analysis-tool-in-excel/
   • https://www.excel-easy.com/data-analysis.html
2. Statistical Analysis
   • https://www.youtube.com/watch?v=xxpc-HPKN28
   • ​https://www.kdnuggets.com/2020/06/8-basic-statistics-concepts.html
3. Probability Theory​

   • ​https://www.youtube.com/playlist?list=PLaFfQroTgZnxtnfht3BzBHVfxodX9AR9F

Week 4-6

1. Data Structures
   • https://www.geeksforgeeks.org/data-structures/
2. Algorithms and analysis​
   • https://www.geeksforgeeks.org/fundamentals-of-algorithms/

Week 7-12

1. Programming

   • Python: https://www.coursera.org/learn/python-crash-course (Audit for free)

   • R: https://www.coursera.org/learn/r-programming Audit for free)

2. Open source libraries
   • NumPy: https://www.w3schools.com/python/numpy/numpy_intro.asp

   • Pandas: https://www.w3schools.com/python/pandas/default.asp

3. Databases​

   • SQL: https://www.w3schools.com/python/python_mysql_getstarted.asp

   • MongoDB: https://www.w3schools.com/python/python_mongodb_getstarted.asp

4. Data Vizualization

   • All libraries – Python: https://mode.com/blog/python-data-visualization-libraries/ (Choose 2-3 libraries)

   • Data viz in R: https://rkabacoff.github.io/datavis/

Week 13-17

1. Machine Learning:

   • Course: https://www.udacity.com/course/intro-to-machine-learning–ud120

   • Course 1,2 and 4: https://www.coursera.org/specializations/deep-learning

Week 18-22

1. Advanced Machine Learning

   • Computer Vision: https://vision.soe.ucsc.edu/projects

   • Human-computer interaction: https://hcii.cmu.edu/summer-research-program/projects

   • Reinforcement learning: https://neptune.ai/blog/best-reinforcement-learning-tutorials-examples-projects-and-courses

   • Speech/Text Processing:
     • https://analyticsindiamag.com/8-different-nlp-scenarios-one-can-take-up-for-a-project/
     • https://www.upgrad.com/blog/speech-processing-projects-topics-for-beginners-experienced/