COURSE AUTHOR –
1. Students will develop understanding of libraries used for Data Analysis like Pandas and Numpy.
2. Learn to create impactful visualizations using Matplotlib and Seaborn. By creating these visualizations you will be able to derive better conclusions from data.
3. After this course you will learn to build complete Data Science Pipeline from Data preparation to building the best Machine Learning Model.
4. The course contains practical section after every new concept discussed and the course also has two projects at the end.
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