Python: Mastering NumPy Essentials
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Recommended experience
Recommended experience
What you'll learn
Master NumPy fundamentals: create and manipulate arrays, perform vectorized computations, and apply numerical methods in Python.
Learn to work with NumPy arrays, perform fast numerical operations, and apply essential tools for data analysis and scientific computing.
Build strong NumPy skills: array operations, vectorized math, broadcasting, and practical numerical techniques for Python projects.
Skills you'll gain
Tools you'll learn
Details to know
February 2026
7 assignments
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There are 8 modules in this course
Unlock the real power of Python with NumPy - the essential library behind data science, AI, and scientific computing. In this hands-on course, you’ll quickly go from basic array operations to writing fast, efficient code used in real data workflows.
Learn by doing: you’ll practice inside a professional IDE, get instant feedback, and build the skills needed for real-world projects in data analysis, machine learning, and high-performance computing. By the end of the course, you’ll feel confident working with multi-dimensional data and ready to take on more advanced Python or data science challenges. New to Python or want a quick refresher before diving in? Start with our beginner-friendly course Python from Scratch: https://www.coursera.org/learn/jb-python-from-scratch
What's included
2 videos1 assignment
2 videos•Total 4 minutes
- Course Introduction & Setup•3 minutes
- Install the JetBrains Toolbox & IDE•1 minute
1 assignment•Total 5 minutes
- Check Yourself•5 minutes
What's included
9 videos1 assignment10 app items
9 videos•Total 10 minutes
- ndarray•1 minute
- Create an Array from List•1 minute
- Create an Empty Array•1 minute
- Create an Array from Range•1 minute
- Reading and Writing Files•1 minute
- Reshape•1 minute
- Random Sampling•1 minute
- Random Shuffle•1 minute
- Broadcasting•2 minutes
1 assignment•Total 10 minutes
- Check Yourself•10 minutes
10 app items•Total 100 minutes
- ndarray•10 minutes
- Create an Array from List•10 minutes
- Create an Empty Array•10 minutes
- Create an Array from Range•10 minutes
- Linspace•10 minutes
- Reading and Writing Files•10 minutes
- Reshape•10 minutes
- Random Sampling•10 minutes
- Random Shuffle•10 minutes
- Broadcasting•10 minutes
What's included
3 videos1 assignment3 app items
3 videos•Total 4 minutes
- Indexing Basics•1 minute
- Integer Array Indexing•1 minute
- Boolean Indexing•1 minute
1 assignment•Total 10 minutes
- Check Yourself•10 minutes
3 app items•Total 30 minutes
- Indexing Basics•10 minutes
- Integer Array Indexing•10 minutes
- Boolean Indexing•10 minutes
What's included
6 videos1 assignment6 app items
6 videos•Total 8 minutes
- Transpose•1 minute
- Transpose 1D•1 minute
- Sort•2 minutes
- Partial Sort•1 minute
- Concatenate and Stack•1 minute
- Split•2 minutes
1 assignment•Total 10 minutes
- Check Yourself•10 minutes
6 app items•Total 60 minutes
- Transpose•10 minutes
- Transpose 1D•10 minutes
- Sort•10 minutes
- Partial Sort•10 minutes
- Concatenate and Stack•10 minutes
- Split•10 minutes
What's included
6 videos1 assignment6 app items
6 videos•Total 7 minutes
- Compare with a Scalar•1 minute
- Elementwise Comparison•1 minute
- Find Maxima•1 minute
- Search•1 minute
- Find Unique Values•1 minute
- bincount•1 minute
1 assignment•Total 10 minutes
- Check Yourself•10 minutes
6 app items•Total 60 minutes
- Compare with a Scalar•10 minutes
- Elementwise Comparison•10 minutes
- Find Maxima•10 minutes
- Search•10 minutes
- Find Unique Values•10 minutes
- bincount•10 minutes
What's included
2 videos1 assignment2 app items
2 videos•Total 3 minutes
- Basic Math Functions•1 minute
- Linear Algebra•2 minutes
1 assignment•Total 10 minutes
- Check Yourself•10 minutes
2 app items•Total 20 minutes
- Basic Math Functions•10 minutes
- Linear Algebra•10 minutes
What's included
3 videos1 assignment3 app items
3 videos•Total 4 minutes
- numpy.char Module•1 minute
- Basic String Operations in NumPy•1 minute
- Translate•1 minute
1 assignment•Total 10 minutes
- Check Yourself•10 minutes
3 app items•Total 30 minutes
- numpy.char Module•10 minutes
- Basic String Operations in NumPy•10 minutes
- Translate•10 minutes
What's included
1 video1 reading1 app item
1 video•Total 2 minutes
- Introduction•2 minutes
1 reading•Total 5 minutes
- What's Next•5 minutes
1 app item•Total 20 minutes
- Practical Tasks•20 minutes
Instructor
Explore more from Data Analysis
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Packt
Course
- Status: Free TrialD
Duke University
Course
- Status: Free TrialU
University of Michigan
Course
Guided Project
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