Data Science and Machine Learning Bootcamp with Python

Name: Data Science and Machine Learning Bootcamp with Python
Rating: 4.9 (30 reviews)

Master Python for Data Science and Machine Learning with Python Projects, SQL, GIT and Many More!

Highest Rated

Created byRaj Kumar Thokala

Last updated 5/2026

English

What you'll learn

You will learn everything about Data Science and Machine Learning in this course
You will learn Python with Projects, GIT, SQL and Many More
You will have 20+ Python Projects
You will master Python, SQL and GIT

Course content

6 sections • 64 lectures • 42h 54m total length

Introduction4:48
Explore the fundamentals of data science and machine learning with Python, covering data handling, visualization, and core algorithms for supervised and unsupervised learning, including linear regression, logistic regression, and clustering.

Getting Started with Python30:58
Primitive Types32:17
Control Flow37:38
Master control flow in Python for data science and machine learning, building robust programs for data-driven insights.
Functions38:10
Data Structures1:17:31
Exceptions22:12
Python Classes Part 136:55
Introduce Python classes and object-oriented concepts within the data science and machine learning bootcamp, building foundational skills for Python programming for data science.
Python Classes Part 246:02
Modules17:21
Python Standard Library59:42
Master the Python standard library to streamline data science and machine learning workflows, gaining practical tools and patterns covered in this bootcamp module.
Python Package Index45:42
Explore the Python package index to understand how Python packages support data science and machine learning workflows.
Popular Python Packages54:08
Explore popular Python packages for data science and machine learning. See how these tools support projects in a Python bootcamp.
Building Web Applications with Django Part - 11:01:06
Building Web Applications with Django Part - 257:32
Build web applications with Django in part 2, applying Python-based web development techniques within the data science and machine learning bootcamp.
Machine Learning with Python46:48

Dice Rolling Game Project in Python7:24
Number Guessing Game and Rock Paper Scissor Projects in Python33:53
Currency Converter and Quiz Game Projects in Python39:57
Learn to build a currency converter and a quiz game in Python, integrating data science concepts and machine learning techniques within a hands-on bootcamp framework.
Tic Tac Toe Game Project in Python29:20
Todo List and Simple Text Editor Projects in Python35:03
Pig Dice Game and Cows and Bulls Game Projects in Python32:29
Build two Python projects, pig dice game and cows and bulls, teaching turn-based play, dice rolling, scoring, and guessing with cows and bulls feedback.
Password Strength Checker and Password Generator projects in Python19:21
Word Guessing Game and Slot Machine Game Projects in Python40:10
ATM Simulation Project in Python Programming36:24

Getting Started with SQL24:26
Retrieving Data From a Single Table57:12
Learn how to retrieve data from a single table, applying practical techniques for querying and extracting information for data science and machine learning projects with Python.
Retrieving Data From Multiple Tables48:01
Inserting, Updating, and Deleting Data41:50
Summarizing Data in SQL30:22
Writing Complex Query38:21
Essential MySQL Functions31:19
Views in SQL18:17
Stored Procedures47:59
Triggers and Events20:51
Transactions and Concurrency42:35
Data Types24:02
Explore MySQL data types across string, numeric, date and time, blob, and json categories; compare char and varchar, integers, decimal, boolean, and understand enums, sets, and lookup tables.
Designing Databases Part 159:38
Designing databases part 1 in the data science and machine learning bootcamp with Python offers an overview of database design concepts for managing data.
Designing Databases Part 259:58
Indexing for High Performance52:26
Securing Databases in SQL14:13
How Data Science Works4:23

Getting Started with DSA17:33
Explore big O notation and algorithm design using data structures like arrays, linked lists, trees, and graphs; practice scalable, interview-ready problem solving with Java.
Arrays29:18
Linked Lists44:44
Explore linked lists using Python within the data science and machine learning bootcamp, understanding their structure and practical applications.
Stacks41:58
Explore stacks in data science and machine learning bootcamp with python. Learn how python supports stacks in data science and machine learning contexts.
Queues51:48
Explore the queue data structure and how it supports data science and machine learning workflows in Python.
Hash Tables1:06:06
Explore hash tables and their role in data structures within data science and machine learning projects using Python, enabling efficient storage and retrieval of data.
Binary Trees1:14:20
AVL Trees48:46
Explore AVL trees in the data science and machine learning bootcamp with Python, focusing on practical applications in programming.
Heaps54:04
Trees46:32
Graphs1:06:45
Undirected Graphs58:11
Sorting Algorithms1:12:25
Learn sorting algorithms in Python to support data science and machine learning workflows for practical data tasks.
Searching Algorithms34:09
String Manipulation Algorithms56:21
Explore string manipulation algorithms in Python to process text data for data science and machine learning tasks.

Requirements

No Prior experienced is needed

Description

Data Science and Machine Learning Bootcamp with Python is a comprehensive, hands-on online course designed to take you from fundamentals to real-world mastery. Whether you are a beginner, student, or working professional, this bootcamp equips you with the skills required to become a confident Data Scientist or Machine Learning Engineer. Dive deep into SQL to query, join, and optimize databases, a critical skill for working with large datasets in real business environments. You will have more than 20 Python Projects in this course.

You’ll start with Python programming essentials and move into data analysis using NumPy, Pandas, and Matplotlib. Learn how to clean, explore, and visualize data to uncover meaningful insights. The course then dives deep into statistics and probability, building a strong foundation for machine learning concepts. You’ll also gain essential Git and GitHub skills for version control, collaboration, and portfolio building. Throughout the bootcamp, you will build multiple end-to-end Python projects, applying data science and machine learning concepts to real-world scenarios.

With multiple real-world projects, case studies, and datasets, you’ll gain practical experience and build a strong portfolio. By the end of the course, you will be able to design, train, evaluate, and deploy machine learning models using Python and industry-standard tools, making you job-ready for data-driven roles.

Who this course is for:

Anyone who wants to learn Data Science and Machine Learning with Python and Python Projects, SQL, GIT and Many More

Data Science and Machine Learning Bootcamp with Python

What you'll learn

Explore related topics

Course content

Introduction1 lecture • 5min

Python15 lectures • 11hr 4min

Python Projects9 lectures • 4hr 34min

SQL - Beginner to Advanced17 lectures • 10hr 16min

GIT - Beginner to Advanced7 lectures • 4hr 13min

DSA15 lectures • 12hr 43min

Requirements

Description

Who this course is for: