Python Bootcamp for Data Science and AI for Beginners – 2022

Python Bootcamp for Data Science and AI for Beginners – 2022, available at $34.99, has an average rating of 4.6, with 26 lectures, based on 27 reviews, and has 101 subscribers.

You will learn about 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 This course is ideal for individuals who are Beginner python developers curious about Data Science or Beginners or New to the Domain or Python developers and Machine Learning engineers or Everybody who wants to learn more about the joint field of AI and Data science or Students who wants to switch to Data Science It is particularly useful for Beginner python developers curious about Data Science or Beginners or New to the Domain or Python developers and Machine Learning engineers or Everybody who wants to learn more about the joint field of AI and Data science or Students who wants to switch to Data Science.

Enroll now: Python Bootcamp for Data Science and AI for Beginners – 2022

Summary

Title: Python Bootcamp for Data Science and AI for Beginners – 2022

Price: $34.99

Average Rating: 4.6

Number of Lectures: 26

Number of Published Lectures: 26

Number of Curriculum Items: 26

Number of Published Curriculum Objects: 26

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

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

Target Audiences

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

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

Course Curriculum

Chapter 1: Introduction and Installations

Lecture 1: Introduction

Lecture 2: Python and Jupyter Notebook Installation

Chapter 2: Week 1

Lecture 1: Programming Languages and Computation

Lecture 2: Programming in Python

Lecture 3: Python Commands

Lecture 4: Python Data Structures – Lists

Lecture 5: Python Data Structures – Dictionary and Tuple

Lecture 6: Workshop 1 Tasks – Unsolved

Lecture 7: Workshop 1 task – Solved

Chapter 3: Week 2

Lecture 1: Functions and Scope

Lecture 2: Classes and Methods

Lecture 3: Playing with cats

Lecture 4: List and Dict Comprehensions

Lecture 5: Workshop 2 Tasks – Unsolved

Lecture 6: Workshop 2 Tasks – Solved

Chapter 4: Week 3

Lecture 1: File IO in Python

Lecture 2: Handling CSV files in Python

Lecture 3: JSON Reader and Writer in Python

Lecture 4: Workshop 3 Tasks – Unsolved

Lecture 5: Workshop 3 Tasks – Solved

Chapter 5: Week 4

Lecture 1: Pandas in Python Notebook

Lecture 2: Seaborn visualisation in Python

Lecture 3: Workshop 4 Tasks – Unsolved

Lecture 4: Workshop 4 Tasks – Solved

Chapter 6: Real Application – Customer Data Preprocessing

Lecture 1: Customer Data Preprocessing – Unsolved

Lecture 2: Customer Data Preprocessing Solved

Instructors

Uzair Khan
MSc Artificial Intelligence & Data Science | Mechanical Eng
Muhammad Saad
Mechanical Engineer | Micro Masters Supply Chain MIT (USA)

Rating Distribution

1 stars: 1 votes
2 stars: 1 votes
3 stars: 0 votes
4 stars: 3 votes
5 stars: 22 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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