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Great Learning via Great Learning Academy

Python for Machine Learning and Data Science

4.6357 ratings at Great Learning Academy

Overview

Free python for machine learning and data science learning should help students, developers, and hands-on beginners understand why the topic matters before moving into deeper practice. The course introduces setup, syntax, core logic, and debugging in a way that shows how the pieces work together. Instead of treating python for machine learning and data science as a list of terms, it explains what to look for, how to reason through common tasks, and why the subject appears in real projects, teams, or business decisions.The course is a good fit if you want to build small working examples and explain the logic behind them. You can use it to prepare for assignments, interviews, workplace conversations, or a first hands-on project depending on your goal. After finishing, you should be able to explain the core idea of python for machine learning and data science, recognize when it is relevant, and choose a sensible next step such as practice exercises, deeper tools, related frameworks, or a more advanced course.

What you'll learn

  • Introduction to NumPy
  • Pandas and Data Visualization in Python

Syllabus 12

  1. Introduction to NumPy in Python
  2. Slicing Array
  3. Operations on a Array - Part 1
  4. Operations on a Array - Part 2
  5. Pandas in Python - Part 1
  6. Pandas in Python - Part 2
  7. Pandas Dataframe in Python
  8. Manipulating Dataframe and Reading Data from different sources
  9. Data Visualization using Matplotlib and Seaborn- Part 1
  10. Data Visualization using Matplotlib and Seaborn- Part 2
  11. Data Visualization using Matplotlib and Seaborn- Part 3
  12. Data Visualization using Matplotlib and Seaborn- Part 4

Advantages and disadvantages

Advantages

  • Free, short, with a free certificate.
  • Made in India, with examples Indian students will recognise.
  • Rated 4.6 out of 5 by 357 learners.
  • Free certificate when you finish.
  • Completely free.
  • Self-paced: start any time.
  • A clear syllabus (12 parts) you can see before you start.

Disadvantages

  • Introductory; the certificate carries little weight with employers.
  • Expect follow-up calls and emails about paid programs.

Some points apply to every course of this kind; see how we rank.

Free, with a free certificate

  • Free: Sign up with your email or phone to watch.
  • Certificate: Free when you finish the videos and quiz.

Great Learning is in Tier 4: commercial training companies and platform-made courses of our institution ranking (58/100).

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