Practice sessions
We will be using R to handle the case studies. Before the first lecture, please, download R https://cran.r-project.org/ and RStudio https://www.rstudio.com/.
- 11.02 - Introduction to R
- 18.02 - Descriptive Analysis and Visualization
- 25.02 - Customer Segmentation
- 04.03 - Customer lifecycle management - regression
- R Markdown Code File
- customer transactions - clv_transactions.csv
- customer survey - customer_transact_survey.csv
- Video
- 11.03 - Customer lifecycle management - Classification
- R Markdown Code File
- customers' churn - churn.csv
- Video
- 18.03 - Model Evaluation
- R Markdown Code File
- travel insurance - travel_insurance.csv
- Video
- 25.03 - Cross-sell/Up-sell recommendations
- R Markdown Code File
- Movies - Movies.csv
- Rating - Ratings.csv
- Video
- 01.04 - Market Basket Analysis
- R Markdown Code File
- Transactions - transactions.csv
- Video
- 08.04 - Financial Forecasting
- R Markdown Code File
- Stocks' price - Stocks.csv
- Video
- 15.04 - AB Testing
- R Markdown Code File
- AB Clicks - AB Clicks.csv
- Video
- 21.04 - Brand Value Monitoring
- R Markdown Code File
- Airlines - Airlines
- Video
- 29.04 - Networks in Finance
- R Markdown Code File
- Nodes - Nodes
- Edges - Edges
- Video
- 06.05 - Fraud Detection
- R Markdown Code File
- Fraud - Fraud
- Video
Supplement Materials
How to Generate R Markdown Files
Introduction to dplyr