NumPy Basics Online Course

NumPy Basics Online Course

This course provides a comprehensive introduction to NumPy, starting with setting up the scientific Python environment and revising Python fundamentals using Jupyter notebooks. It covers array creation, manipulation, and data types, along with essential concepts such as indexing, slicing, copies versus views, and efficient elementwise and broadcasting operations. Learners also gain hands-on experience with data visualization and key operations like reduction, reshaping, and sorting to manage large datasets effectively.

Advanced topics include structured arrays and data type management, and the course concludes with a practical time series analysis project that applies all concepts to real-world scientific computing and data analysis scenarios.

Who should take this Course?

This course is ideal for beginners in NumPy, Python users aiming to strengthen their numerical computing skills, and students or professionals in data science, analytics, engineering, or research. It is especially useful for those who want hands-on experience working with arrays, large datasets, and real-world data analysis using NumPy.

What you will learn

• Create and manipulate NumPy arrays
• Perform elementwise and broadcasting operations
• Implement data visualization techniques
• Conduct time series analysis
• Understand and apply reduction, shape, and sort operations

Course outline 

• Overview
• Scientific Python and Setup
• Review of Python Basics with Jupyter
• Introducing NumPy Arrays
• NumPy Array and Data Types
• Graphing and Visualization
• Indexing and Slicing Arrays
• Copies and Views
• Elementwise and Broadcasting Operations
• Reduction Operations
• Shape and Sort Operations
• Data Types: Casting, Size, and Structure
• Structured Arrays
• Let's Try It: Time Series Analysis