• Course Description Data science process, data preprocessing, exploratory data analysis, data visualization, basic statistics, basic machine learning concepts, classification and prediction, similarity assessment, clustering, post-processing and interpreting data analysis results, use of data analysis tools and programming languages and data analysis case studies.

    • Software Make sure to download Anaconda. Let me know via email in case you encounter difficulties.

    • Books While lecture notes will serve as the main source of material for the course, the following book constitutes a great reference:

      Rizk, Nouhad Building Skills for Data Science

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