#2 Graphing and Visualization in Math | Python ( matplotlib )

With the availability of data, there is a growing demand for talent who can analyze and make sense of it. This makes practical math all the more important because it helps infer insights from data. However, mathematics comprises many topics, and it is hard to identify which ones are applicable and relevant for a data science career. Knowing these essential math topics is key to integrating knowledge across data science, statistics, and machine learning.

You’ll grasp the fundamentals of probability, statistics, hypothesis testing, linear algebra, linear regression, classification models, and practical calculus. Along the way you’ll integrate what you’ve learned and see practical applications for real-world problems.

But before we start with actual mathematics topics like Algebra, we should have some understanding of the basic concepts. This video will help you sharpen your basic mathematical skills and you will get know how to graph and visualize in math using Python library which in turn will help you a lot in coping with some of the mathematically intense parts of this course.

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Chapters
00:00 Intro
00:35 Example 1 - Plot single and multi co-ordinates
04:43 Example 2 - Equation
07:19 Example 3 - Plot Square
09:52 Example 4 - Linear Equation
14:50 Example 5 - Equation
15:57 Example 6 - Matrices and Images

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