Data Science & AI
beginner
Programming for Data Science
A comprehensive course covering Python for data science. Topics include Python fundamentals, NumPy, Pandas, data manipulation, file I/O, data wrangling, Jupyter notebooks, and version control with Git. Designed for beginner level learners.
14 hours
4 modules
12 lessons
0 enrolled
Dr
Dr. Priya Patel
Professor of Data Science & Artificial Intelligence
Free
Full access to all course materials
Course Content
Foundations of Python Fundamentals
3 lessons
Python Fundamentals
24 min
NumPy
32 min
Applying Python Fundamentals
28 min
Understanding Data Manipulation
3 lessons
Pandas
21 min
Data Manipulation
22 min
Applying Pandas
21 min
Working with Data Wrangling
3 lessons
File I/O
22 min
Data Wrangling
27 min
Applying File I/O
30 min
Advanced Version Control With Git
3 lessons
Jupyter Notebooks
22 min
Version Control With Git
20 min
Applying Jupyter Notebooks
24 min