Programming for Data Analytics (using R and Python)

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All chapters

  • DANL100: syllabus
  • ------R for the first half semester ----------------------

  •                     Chapter pdf |          videos |          code
  •   Chapter #1: R installation and basics |   video #1 | code1
  •   Chapter #2: Simple functions |               video #2 | code2
  •   Chapter #3: Open data |                          video #3 | code3
  •   Chapter #4: Data input |                          video #4| code4
  •   Chapter #5: Simple data manipulation | video #5| code5
  •   Chapter #6: Data output |                       video #6| code6
  •   Chapter #7: Loops and conditons |         video #7| code7
  •   Chapter #8: Date varariable, simple plot
  •   Chapter #9: subset,merge data sets
  •   Chapter #10: Matrix manipulation
  •   Chapter #11: String manipulation
  •   Chapter #12: Introduction to R packages
  •   Chapter #13: Excel and R, reading SAS data sets
  •   Chapter #14: Monte Carlo Simulation
  •   Chapter #15: Google drive, sas, pickle, zip data
  • ------Python for the second half semester ----------------------

  •   Chapter #16: Python basics |
  •   Chapter #17: Introduction to Python modules
  •   Chapter #18: Data input and output
  •   Chapter #19: Data minipulation
  •   Chapter #20: Python loops, conditions
  •   Chapter #21: Grphs, plots,data visualization
  •   Chapter #22: Matrix operation
  •   Chapter #23: String manipulation
  •   Chapter #24: Monte Carlo simuations
  •   Chapter #25: Several important distributions
  •   Chapter #26: Hypothesis tests
  • ------R and Python for various projects ------

  •   Chapter #27: Project 1: SEC filings
  •   Chapter #28: Projdct 2: Census data
  •   Chapter #29: Project 3:Fin Statement Analysis
  •   Chapter #30: Term projects

Download and Install R

My videos for this course

Links

Economics & Finance Dept | add later | add later