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The Complete Python Pro Bootcamp for Data Science and AI
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 26 lectures (8h 22m) | Size: 2.96 GB
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 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
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