Courses to initiate students to Data Science through practical sessions:
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Introduction: presentation of the association and fiels of Data Science and Machine Learning
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Discovery of tools and references: Google Colab, Kaggle, TowardsDataScience...
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Manipulation of data frames: Pandas, Numpy
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Data Visualization: Matplotlib, Seaborn, Plotly
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Web Scraping: BeautifulSoup, Selenium, Requests
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Machine Learning Introduction: Scikit-Learn
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Natural Langage Processing: NLTK, Gensim
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Computer Vision: OpenCV, Yolo, OpenPose
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Neural Networks: Keras, TensorFlow
