- Data visualization
- Basics of statistics
- Sampling
- Statistical inference
- Statistical hypothesis testing
- Project 1: Analysis of the nhanes dataset
- Project 2: Analysis of the cartwheel dataset
- Project 3: Statistics theory assessment
- Project 4: Hypothesis testing for a golf ball manufacturer
- Final project: Analysis of the Google Play Store
- Data pre-processing
- Supervised machine learning Algorithms
- Unsupervised machine learning Algorithms
- Evaluation of machine learning models
- Neural networks
- Project 1: Classification of stars + documentation
- Project 2: Clustering of bikes + documentation
- Introduction to time series
- Time series features
- Forecasting methods
- Introduction to the sktime library
- Project: Forecasting of sales for Walmart company (From EDA to forecasting + documentation)
- Pre-processing of text
- Introduction to language models
- Evaluation of language models
- Modern language models
- Information retrieval methods
- Learning to rank algorithms
- Project: Persian news classification using n-gram and BERT models
When I look back to these four challenging weeks, I find out that I really enjoyed it. I will really miss the people, the atmosphere of the company, and all our laughing. Goodbye, folks.