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Coursework: MITx 15.071x The Analytics Edge

Coursework for MITx 15.071x The Analytics Edge.

Content:

The course uses R scripts for learning and evaluation purposes:

  • Unit 1: An Introduction to Analytics
    1. An analytical detective
    2. Stock dynamics
    3. Demographics and employment in the US
  • Unit 2: Linear Regression
    1. Climate change
    2. Reading test scores
    3. Detecting flu epidemics via search engine query data
  • Unit 3: Logistic Regression
    1. Popularity of music records
    2. Predicting parole violators
    3. Predicting loan repayment
  • Unit 4: Trees
    1. Understanding why people vote
    2. Letter recognition
    3. Predicting earnings from census data
  • Unit 5: Text Analytics
    1. Detecting vandalism on Wikipedia
    2. Automating reviews in medicine
    3. Separating spam from ham
  • Unit 6: Clustering
    1. Document clustering with Daily Kos
    2. Market segmentation for airlines
    3. Predicting stock returns with cluster-then-predict
  • Unit 7: Visualization
    1. Election forecasting revisited
    2. Visualizing network data
    3. Visualizing text data using word clouds
  • Unit 8: Linear optimization (uses OpenOffice/LibreOffice)
    1. Investment management under taxation
    2. Filatoi Riuniti - Optimizing the production schedule
    3. Gasoline blending
    • Spreadsheets contains a Problem/Formulation sheet where the problem is formulated, and a QandAnswers sheet with the questions and answers evaluated.
  • Unit 9: Integer optimization (uses OpenOffice/LibreOffice)
    1. Selecting profitable hotels
    2. Assigning sales regions at Pfizer Turkey
    3. Class assignments in an elementary school
    • Spreadsheets contains a Formulation sheet where the problem is formulated, and a QandAnswers sheet with the questions and answers evaluated.
  • Kaggle competition: Can we predict voting outcomes?
    • Top 6% in the private leaderboard: 155th of 2875 players.
  • Final exam

Due to sharing permissions, the datasets provided by the course staff are not shared publicly in this repo. If you need more information please contact me.