About Course
Python is an open-source, interpreted, high-level language and provides a great approach for object-oriented programming. It is one of the best languages used by data scientists for various data science projects/applications. Python provides great functionality to deal with mathematics, statistics and scientific function. It provides great libraries to deals with data science applications. One of the main reasons why Python is widely used in the scientific and research communities is because of its ease of use and simple syntax which makes it easy to adapt for people who do not have an engineering background. This is an introductory course with Python programming for data analytics and it is designed to give you an understanding of the core fundamentals. We will cover the basics of using Python programming, development environment setup, its programming essentials as well as data manipulation. You’ll be introduced to major data science libraries such as Pandas, Numpy, Maplotlib, Scikit-learn. You’ll also have practise exercises to test your understanding. By the end of this course, you’ll gain more confidence working with data using Python. |
Course Content
Getting Started
-
What is Python?
-
Why Python?
-
Who uses Python?
-
Environment set up and Libraries
Introduction to Python Programming
Python Essentials
Python Functions
Python OOPs
Earn a certificate
Add this certificate to your resume to demonstrate your skills & increase your chances of getting noticed.
Student Ratings & Reviews
No Review Yet