Python for Data Science
Featured
NumPy, Pandas and ML basics with projects inspired by Indian e-commerce and fintech datasets.
(3)
254
Students
6
Lectures
Priya Sharma
Teacher role
About This Course
NumPy, Pandas and ML basics with projects inspired by Indian e-commerce and fintech datasets.
This course includes practical assignments, quizzes and a completion certificate valued by Indian employers.
Priya Sharma teaches practical, career-focused courses tailored for Indian students and professionals.
Curriculum Overview
This course includes 3 modules, 6 lessons, and 2:15 hours of materials.
Module 1: Getting Started
2 Parts | 0:45 Hours
Lesson 1.1
Key concepts explained with Indian examples.
Study Duration
20 Minutes
Attachments
0
Lesson 1.2
Key concepts explained with Indian examples.
Study Duration
25 Minutes
Attachments
0
Module 2: Getting Started
2 Parts | 0:45 Hours
Lesson 2.1
Key concepts explained with Indian examples.
Study Duration
20 Minutes
Attachments
0
Lesson 2.2
Key concepts explained with Indian examples.
Study Duration
25 Minutes
Attachments
0
Module 3: Getting Started
2 Parts | 0:45 Hours
Lesson 3.1
Key concepts explained with Indian examples.
Study Duration
20 Minutes
Attachments
0
Lesson 3.2
Key concepts explained with Indian examples.
Study Duration
25 Minutes
Attachments
0
Certificates
1 Parts
Course Certificate
Course Certificate
If you pass all the lessons in this course, you will receive this certificate.
Type
Course Certificate
4.42
3 Reviews
Content Quality (5)
Instructor Skills (5)
Value for Money (4)
Support Quality (4)
Kabir Khan
20 Jul 2026 21:13
Helped me crack the basics faster than YouTube playlists.
Siddharth Rao
25 Jun 2026 15:07
Worth every rupee. Clear modules and practical assignments.
Anjali Menon
22 Jun 2026 15:19
Excellent teaching style — explanations with Indian examples really helped.
This Course Includes
Downloadable Content
Official Certificate
Instructor Support
Course Specifications
Sections
3
Lessons
6
Capacity
Unlimited
Duration
6:00 Hours
Students
254
Created Date
10 May 2026
Updated Date
29 Jul 2026
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