Learn Python for Data Science & Machine Learning from A-Z

Learn Python for Data Science & Machine Learning from A-ZIn this practical, hands-on course you'll learn how to program using Python for Data Science and Machine Learning. This includes data analysis, visualization, and how to make use of that data in a practical manner. Our main objective is to give you the education not just to understand the ins and outs of the Python programming language for Data Science and Machine Learning, but also to learn exactly how to become a professional Data Scientist with Python and land your first job.

We'll go over some of the best and most important Python libraries for data science such as NumPy, Pandas, and Matplotlib +NumPy - A library that makes a variety of mathematical and statistical operations easier; it is also the basis for many features of the pandas library. Pandas - A Python library created specifically to facilitate working with data, this is the bread and butter of a lot of Python data science work. NumPy and Pandas are great for exploring and playing with data.

Matplotlib is a data visualization library that makes graphs as you'd find in Excel or Google Sheets. Blending practical work with solid theoretical training, we take you from the basics of Python Programming for Data Science to mastery. This Machine Learning with Python course dives into the basics of machine learning using Python.

You'll learn about supervised vs. unsupervised learning, look into how statistical modeling relates to machine learning, and do a comparison of each. We understand that theory is important to build a solid foundation, we understand that theory alone isn't going to get the job done so that's why this course is packed with practical hands-on examples that you can follow step by step.