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2022 Python for Machine Learning & Data Science Masterclass
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You might want to start with online courses/tutorials focused on basic data science and data visualization in Python. If you learn general Python tools like Pandas, Numpy, Pyplot/Seaborn, and any specialized packages/tools for genome data, you should be able to visualize and interact with your datasets in a more fluid way. Using a notebook/Jupyter environment can really help with making your work interactive.
There are general Python Data Viz courses with free content, and I've been building machine learning courses (slightly different topic) with a platform called co:rise, who also offer basic Python Data Science courses. You can find plenty of tutorial blogs via searching, or look at specialized mini-courses on Udemy
⬐ sam537How does notebook/Jupyter help? What does it add?