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Master Python for Data Science, Machine Learning, Automation
Rating: 4.5 out of 5(67 ratings)
9,493 students

Master Python for Data Science, Machine Learning, Automation

Complete Python Guide for Data Science, Machine Learning, AI, and Automation with Practical Projects
Created byLearnify IT
Last updated 4/2026
English
English [Auto],

What you'll learn

  • Learn Python programming from the basics to advanced techniques
  • Analyze, visualize, and interpret data using Pandas, NumPy, and Matplotlib
  • Build machine learning models and deploy them on real datasets
  • Automate repetitive tasks and workflows to save time and increase efficiency
  • Gain hands-on experience through practical projects you can showcase in your portfolio
  • Understand AI fundamentals and implement them using Python

Course content

1 section • 17 lectures • 7h 39m total length

  • Introduction2:20
  • Introduction to Python & Setup (Jupyter, VS Code)17:20
  • Variables, Data Types & Operators Part-116:57
  • Variables, Data Types & Operators Part-214:02

    Explore Python data types beyond booleans, including lists, tuples, and dictionaries, and master arithmetic, comparison, logical, and assignment operators to build data science workflows.

  • Control Flow (if, for, while)37:40

    Master control flow in Python by using if, else, elif, and nested conditions, plus for and while loops, ranges, and practical examples in a Jupyter Notebook.

  • Functions & Modules48:04
  • Sets & File Handling(read write CSV, text files)36:51
  • Automating File & Folder Tasks (os, shutil, pathlib)32:31

    Explore automating file and folder tasks with os, shutil, and pathlib to create, rename, copy, move, delete, and organize directories and files from the current path.

  • Working with Excel & CSV (pandas, openpyxl)35:42
  • Web Scraping Basics (requests, Beautiful Soup)32:31

    Learn web scraping basics with Python using requests and BeautifulSoup, including parsing HTML, extracting text, links, and authors, scraping multi-page sites, and exporting data to CSV with pandas.

  • Sending Automated Emails (smtplib, yagmail)21:05

    Explore sending automated emails with Python using smtplib and yagmail, debug with a local fake server, and test mail flow via mail trap and a local host 1025.

  • Introduction to Data Science Workflow43:42
  • NumPy Basics (arrays, operations)46:15

    Explore NumPy basics by creating and manipulating 1D and 2D arrays with operations, indexing, slicing, and reshaping, then compare NumPy performance with Python lists.

  • Pandas Basics (data frames, filtering, grouping)42:13

    Explore pandas basics for data science: construct data frames, filter data, and group records to reveal insights with mean, sum, and count aggregations.

  • Class Project 115:51
  • Class Project 216:40
  • How to Take Help of AI for Master Python for Data Science, Machine Learning ....

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Requirements

  • No experience required

Description

Unlock the power of Python and take your skills to the next level! This course is designed for beginners and professionals who want to master Python for Data Science, Machine Learning, AI, and Automation. Through hands-on projects, real-world examples, and step-by-step guidance, you’ll gain the skills needed to become a Python expert and build practical solutions that solve real-world problems.

What you’ll learn:

  • Python programming from beginner to advanced level

  • Data manipulation and analysis using Pandas, NumPy, and Matplotlib

  • Machine Learning models with scikit-learn and practical applications

  • Automating everyday tasks and workflows with Python

  • Building data-driven projects to showcase your skills

  • Understanding AI concepts and implementing Python solutions

Who this course is for:

  • Anyone who wants to automate repetitive tasks and improve productivity and who want to learn Python from scratch

Why choose this course:

  • Step-by-step, easy-to-follow lessons for all skill levels

  • Practical projects to build a portfolio that stands out

  • Learn Python, Data Science, Machine Learning, AI, and Automation in one complete course

By mastering Python with this course, you’ll gain the skills to solve complex problems, analyze data effectively, build predictive models, and automate workflows like a pro. Start your journey today and transform your career with Python!

By the end of this course, you’ll have the confidence and skills to analyze data, build machine learning models, and automate tasks with Python, opening doors to high-demand career opportunities.

Who this course is for:

  • Anyone who looking to enter Data Science, Machine Learning, or AI fields

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