Programming for Data Analytics (using R and Python)

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

• Go to r-project.org =>Click Download under CRAN =>[Choose a mirror] =>[PC or Mac]=>Click "base"
• YouTube: Windows (6m39s) | Mac (13m21s)

My videos for this course

• chapter 15     : Effective rate | Stock | Bond's duration
• chap 18 & 19: Linear reg #1 | #2 | Multivariate
• chap 20 & 21: Durbin-Watson | Benford | Granger causality
• chap 22 & 23: Option theory (basics) | Black-Scholes-Merton
• chapter 30     : Event Study

Links

• Click here, click 'package', then choose.
• semTools : MASS, foreign, parallel, boot, Amelia, mice, GPArotation,mnormt, blavaan
• Random price movement