This is a pragmatic course where the viewer will learn through real-world cases of how to practice the most prevalent tools for doing Data Science and Analytics with Python. In this course, you will see how to interpret data in Python using multi-dimensional designs in numpy, manage DataFrames in pandas, apply SciPy library of mathematical routines, and implement machine learning using scikit-learn!