https://www.udemy.com/course/the-complete-python-pro-bootcamp-for-data-science-and-ai

Learn to use Python Like a Data Scientist. Including tutorials on Numpy, Pandas, Matplotlib , Seaborn and a lot more!!

What you'll learn: 

You will first learn how to Install Python and Jupyter on your desktop/laptop

Programming Languages and Computation

Programming in Python

Python Commands

Python Data Structures - Lists

Python Data Structures - Dictionary and Tuple

Functions and Scope

Classes and Methods

Python Comprehensions in Lists and Dictionaries

List and Dict Comprehensions

File IO in Python

Handling CSV files in Python

CSV Reading and Writing

JSON Reader and Writer in Python

Pandas in Python

Pandas in Python Notebook

Seaborn visualisation in Python

Data pre processing using python

Learn how to analyze, retrieve and clean data with Python - Data cleaning

You will understand and learn the basics of For Loops and Advanced For Loops

You will understand Why foundations Modify Lists and Dictionaries and Functions

Data Cleaning and Preparation for Machine Learning

Requirements:

No programming experience needed , you will be taught everything from scratch up to a professional level

Description:

This module teaches students to program in Python and is scheduled to start their career in Artificial Intelligence and Data Science.

If you want to enter the domain of Data Science and are from a different discipline or career path then this module is for you to enroll in .

You should prepare for the practical workshops by watching the lecture videos, reading the written material including the assigned practical tasks, and prepare some of the initial practical tasks so you are ready for the days work.

The format of this module is a 4-week intensive module which is designed to teach you the necessary programming skills to excel throughout the remaining of your exciting program. I understand that you come from a variety of different backgrounds and encourage you to engage and communicate with us about your learning where possible; whether you are completely new to programming or whether you've dabbled in it before. Programming is a skill which takes time to master, and the more you practice these skills the better you will become.

The first two weeks contain many smaller topics which are fundamental to programming understanding, with later weeks utilizing these for more advanced applications.

All of the programming part will take place in Jupyter Notebook and relevant python version installation and usage will be shared in this course.

Week 1.

Environments 

Variables

Data Primitives

Data Structures (Collections) 

Control Flow 

Scope Teaching 

Week 2. 

Functions

List/Dict Comprehensions

Libraries

Python Modules

Object Oriented Python

Teaching 

Week 3. 

 Coursework Introduction

Numpy and N-Dimensional Matrices

File Input/output

Error-handling / Exceptions Teaching 

Week 4. 

Introduction to Pandas library

Visualization of Data with Python Coursework 

Real Application. 

Customer Data Pre-Processing Who this course is for:Beginner python developers curious about Data ScienceBeginnersNew to the DomainPython developers and Machine Learning engineersEverybody who wants to learn more about the joint field of AI and Data scienceStudents who wants to switch to Data Science

Who this course is for:

Beginner python developers curious about Data Science

Beginners

New to the Domain

Python developers and Machine Learning engineers

Everybody who wants to learn more about the joint field of AI and Data science

Students who wants to switch to Data Science