Objectives:
Learn to work with NumPy, pandas and Matplotlib with Python using Jupyter Notebook, and get ready to reap the maximum benefit from courses on Machine Learning.
Content:
Basics of Python including control flow and data structures
Lists, lambda, string manipulation
NumPy arrays, aggregation, indexing, comparison
Pandas objects, datasets, aggregation, pivot tables
Visualization using Matplotlib: plots, subplots, axes, text
Who should attend:
Aspiring data scientists, business analysts, application developers