Introduction to NumPy and Pandas
Python basics, Data Wrangling with NumPy, Data Analysis with Pandas
Preview this Course
Do you want to work with real-world data using Python? Looking to master the most powerful libraries in the Python data ecosystem? You're in the right place.
“Introduction to NumPy and Pandas” is a hands-on course designed to get you comfortable with the two most essential libraries in data science and analysis: NumPy and Pandas.
This course is beginner-friendly and practical. Whether you're a student, aspiring data analyst, developer, or simply curious about data manipulation, this course will give you a strong foundation through real coding labs—no boring theory, just coding and learning by doing!
What’s Inside:
Python Fundamentals Refresher: Variables, data types, control flow, functions, and data structures like lists, tuples, sets, and dictionaries.
NumPy Deep Dive: Learn how to create and manipulate arrays, perform mathematical operations, broadcasting, and handle missing values.
Pandas Essentials: Load data, explore DataFrames, apply filters and indexing, use groupby and pivot tables, and handle missing data like a pro.
All Demos in Google Colab: No installations required—just open your browser and start coding.
Why This Course?
Built for beginners with no prior experience in data libraries
Fully hands-on, project-oriented learning in Google Colab
Learn the core libraries used in Data Science, Machine Learning, and Analytics
By the end of this course, you’ll be able to:
Confidently use NumPy and Pandas in your data analysis projects
Handle, clean, and transform real datasets
Build a solid foundation for advanced topics like Machine Learning or Data Visualization
Let’s start your journey into the world of data with Python, NumPy, and Pandas!