Python For Data Science, Machine Learning and AI.
Master Python from scratch: Build a strong foundation for Data Science, ML, AI & automation
Updated on Jun, 2025
Language - English
Development ,Programming Languages,Python
Lectures -3
Duration -12 mins
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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, a professional or an entrepreneur, mastering Python can unlock exciting career opportunities.
What will you 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 the beginning: Variables, data types and operators to create a strong programming foundation. Master loops, conditional statements and functions to code efficient Python programming. Handle Lists, Tuples, Dictionaries and Strings for practical uses. Learn file handling, error handling and automation basics to improve your coding skills. Gain hands-on experience with Python syntax & debugging methods to avoid typical mistakes. Create a strong data science, AI and automation foundation with hands-on Python proficiency.Master Python from scratch: Variables, data types and operators to create a strong programming base.Master loops, if/else and functions to code efficient Python programming. Work with Lists, Tuples, Dictionaries and Strings for real-world applications. Get familiar with file handling, error handling and automation basics to add strength to your coding skills. Get hands-on experience with Python syntax & debugging techniques to avoid typical mistakes. Build a strong data science, AI and automation foundation with hands-on Python experience.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.
- Curious 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, Programming Environment and Learning Objectives
3 Lectures
-
Introduction to Python
01:42
01:42
-
Programming Environment
08:43
08:43
-
Learning Objectives
01:41
01:41
Instructor Details
MANJUNATHA GUMMARAJU
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