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Python is a very powerful programming language used for many different applications. Over time, the huge community around this open source language has created quite a few tools to efficiently work with Python. In recent years, a number of tools have been built specifically for data science. As a result, analyzing data with Python has never been easier.

In this practical course, you will start from the very beginning, with basic arithmetic and variables, and learn how to handle data structures, such as Python lists, Numpy arrays, and Pandas DataFrames. Along the way, you’ll learn about Python functions and control flow. Plus, you’ll look at the world of data visualizations with Python and create your own stunning visualizations based on real data.

Expert: Sherine Greig and team have extensive experience in deep learning. Having over 15+ years of experience in IT industry, the team knows what makes a successful course.

Sample Lesson 1: Debugging, Error Handling and Indexing (Video: 22 Mins)

Prerequisite Course: Python Basic and Intermediate Levels

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