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Python for Data Science: Pandas, NumPy & ML Fundamentals

4.5

(2 reviews) • 1 students

By Priya Sharma

Published 04/04/2026 Last updated 07/18/2026 9 Lessons 01:43:13 Intermediate English

Python for Data Science: Pandas, NumPy & ML Fundamentals

Course Description

Master Python's most powerful data science libraries with real datasets. From data wrangling with Pandas and numerical computing with NumPy to building your first machine learning pipeline with Scikit-Learn. Includes 5 end-to-end projects.

Curriculum Preview

3 sections • 9 lessons • 01:43:13 total length

1 Python & Environment Setup 5 lessons · 34:23

+ 3 more lessons

2 Pandas: Data Wrangling at Scale 4 lessons · 34:24

+ 2 more lessons

3 Machine Learning with Scikit-Learn 5 lessons · 34:26

+ 3 more lessons

View full curriculum →

Instructor

Priya Sharma

4.5 (2 reviews)

Award-winning data scientist with 8 years of industry experience at Google DeepMind and Flipkart. I make complex AI concepts accessible to everyone.

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Course Curriculum

3 sections • 9 lessons • 01:43:13 total length

Your Instructor

Priya Sharma

Data Scientist & AI Educator

Award-winning data scientist with 8 years of industry experience at Google DeepMind and Flipkart. I make complex AI concepts accessible to everyone.

Student Reviews

4.5

2 ratings

5 50%

4 50%

3 0%

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1 0%

Aarav Patel

06/10/2026

Priya's explanations are crystal clear. I finally understand how to use Pandas properly after months of struggling with tutorials. The Scikit-Learn section alone is worth the price.

Lucas Tremblay

05/02/2026

Great course for someone moving from Excel to Python. Took me a few loops through the ML chapter but Priya is patient and covers edge cases really well.

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