Python For Data Science, Machine Learning & AI
Master Python from scratch: Build a strong foundation for Data Science, Machine Learning, AI and automation
Updated on Jun, 2025
Language - English
Development ,Programming Languages,
Lectures -20
Duration -1.5 hours
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Course Description
- Why Learn Python?
- Python is one of the most powerful and beginner-friendly programming languages. It is widely used in Data Science, AI, Machine Learning, Web Development and Automation.
- Whether you are a student, professional or an entrepreneur, mastering Python can unlock exciting career opportunities.
- What you will learn in this course?
- Python basics - Variables, data types and operators.
- Loops, conditional statements and functions.
- Lists, tuples, dictionaries and strings.
- File handling, error handling and debugging techniques.
- Hands-on practice to write clean, efficient Python code.
- How Python is used in Data Science, AI, ML and automation.
- Who is this course for?
- Beginners with no prior programming experience.
- Students and professionals looking to start a tech career.
- Non-tech professionals and entrepreneurs interested in automation.
- Anyone curious about Python and its applications.
- Why take this course?
- Beginner-friendly - No prior coding experience required.
- Structured and practical - Learn with hands-on examples.
- Career-focused - Get a head start in Data Science and AI.
- Step-by-step guidance - From basics to real-world skills.
- Develop problem-solving skills, Write efficient Python scripts and explore real-world applications.
- Improve logical thinking and build a solid foundation for advanced topics in AI, ML and automation.
Start your Python journey today and unlock new career opportunities.
Looking forward to a great learning journey together.
Goals
- Learn Python from scratch: Variables, data types and operators to build a solid programming foundation.
- Master loops, conditional statements and functions to write efficient Python programming.
- Work with Lists, Tupelos, Dictionaries and Strings for real-world applications.
- Understand file handling, error handling and automation basics to boost your coding skills.
- Get hands-on practice with Python syntax & debugging techniques to avoid common mistakes.
- Build a strong foundation for data science, AI and automation with practical Python skills.
Prerequisites
- No prior programming experience is needed. This course is perfect for absolute beginners.
- Basic math skills and logical thinking will be helpful but not mandatory to start learning.
- A text editor or IDE (like VS code, PyCharm or Jupyter Notebooks) for hands-on practice.
- A computer (Windows, Mac or Linux) with an Internet connection.
- Curiosity to explore Python’s real-world applications in automation, Data Science and AI.
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction to Python, Programming Environment, Learning Objectives, Comments and Indentation, Identifiers Keywords and Rules for Identifiers
5 Lectures
-
Introduction to Python
01:42
01:42
-
Programming Environment
08:43
08:43
-
Learning Objectives
01:41
01:41
-
Comments and Indentation
08:09
08:09
-
Identifiers Keywords and Rules for Identifiers
08:05
08:05
Key Words in Python, Categories of Data Types, Basic Data Types, Integer and Float Ranges, More Data Types
5 Lectures
Multiple Variable Assignment, Arithmetic Operations, Variable Type and Assignment, Floor Division, Boolean Variable
5 Lectures
Built-in Functions, Operator Precedence and Associativity, Conversions, Built-in Modules
4 Lectures
Exercises For Practice
1 Lectures
Instructor Details
MANJUNATHA GUMMARAJU
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