Python Bootcamp For Data Science And Ai For Beginners - 2022

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[img]https://i.imgur.com/AJJYSOM.jpg[/img]
[b]Python Bootcamp For Data Science And Ai For Beginners - 2022[/b]
Last updated 2/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.55 GB | Duration: 8h 21m
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 VariablesData PrimitivesData Structures (Collections) Control Flow Scope Teaching Week 2. FunctionsList/Dict ComprehensionsLibrariesPython ModulesObject Oriented PythonTeaching Week 3. Coursework IntroductionNumpy and N-Dimensional MatricesFile Input/outputError-handling / Exceptions Teaching Week 4. Introduction to Pandas libraryVisualization of Data with Python Coursework Real Application. Customer Data Pre-Processing
Overview
Section 1: Introduction and Installations
Lecture 1 Python and Jupyter Notebook Installation
Section 2: Week 1
Lecture 2 Programming Languages and Computation
Lecture 3 Programming in Python
Lecture 4 Python Commands
Lecture 5 Python Data Structures - Lists
Lecture 6 Python Data Structures - Dictionary and Tuple
Lecture 7 Workshop 1 Tasks - Unsolved
Lecture 8 Workshop 1 task - Solved
Section 3: Week 2
Lecture 9 Functions and Scope
Lecture 10 Classes and Methods
Lecture 11 Playing with cats
Lecture 12 List and Dict Comprehensions
Lecture 13 Workshop 2 Tasks - Unsolved
Lecture 14 Workshop 2 Tasks - Solved
Section 4: Week 3
Lecture 15 File IO in Python
Lecture 16 Handling CSV files in Python
Lecture 17 JSON Reader and Writer in Python
Lecture 18 Workshop 3 Tasks - Unsolved
Lecture 19 Workshop 3 Tasks - Solved
Section 5: Week 4
Lecture 20 Pandas in Python Notebook
Lecture 21 Seaborn visualisation in Python
Lecture 22 Workshop 4 Tasks - Unsolved
Lecture 23 Workshop 4 Tasks - Solved
Section 6: Real Application - Customer Data Preprocessing
Lecture 24 Customer Data Preprocessing - Unsolved
Lecture 25 Customer Data Preprocessing Solved
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
Screenshots

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