Simplilearn Python libraries for Data Science

Description

In this Python Libraries course, discover the top five Python libraries essential for data science: NumPy, Pandas, Matplotlib, Scikit-Learn, and TensorFlow. Learn how to use these tools to analyze data, create visualizations, and build machine-learning models. This course provides a straightforward introduction to the powerful Python libraries.

Who's it for?

This course is for students and professionals wanting to learn python libraries specific to data science

Table of Content

1) Introduction - Top 5 Python Libraries for Data Science

2) NumPy Part-1
3) NumPy Part-2

4) Pandas
5) Matplotlib Part-1
6) Matplotlib Part-2
7) Web Scraping using Python
8) Scikit Learn
9) TensorFlow Part-1
10) TensorFlow Part-2

Course Details

Price :

Free

Duration :

7 hrs

Skill Level :

Intermediate

Certification :

Included

Exercises :

Included

Prerequisites :

Basic understanding of Maths and Statistics along with the basics of Python programming language.

Recorded video

Type of Content :

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