What you'll learn
- How to create and manipulate NumPy arrays for efficient numerical computing In this course, you will learn how to create, reshape, and modify NumPy arrays
- You'll gain hands-on experience performing various mathematical and statistical operations using NumPy’s built-in functions.
- We’ll cover powerful tools like array slicing, advanced indexing, and broadcasting to help you work with large and complex datasets in Python.
- You will explore how NumPy simplifies complex linear algebra tasks such as matrix multiplication, eigenvalues, and decompositions.
- Solve linear algebra problems using NumPy and integrate it with Pandas and other Python data analysis tools.
- Master reshaping, indexing, and broadcasting with NumPy to handle complex datasets in Python programming and analysis.
Requirements
- Basic knowledge of Python programming.
- Understanding of fundamental mathematical concepts.
Description
Learn Python Programming Masterclass – Focused on NumPy for Data Analysis
Welcome to the Python NumPy Programming with Coding Exercises course – a part of the ultimate Python programming bootcamp designed to take your data skills to the next level. Whether you're on your 100 days of Python journey or building your own Python mega course, this course is tailored to teach you the core of numerical computing and data analysis using the powerful NumPy library.
If you are passionate about becoming a Python expert, this course fits right into your 1000 days of code practice plan. It blends practical coding exercises, theoretical concepts, and real-world applications to help you master Python data analysis step by step.
What You Will Learn
In this learn Python programming masterclass, you’ll cover:
Introduction to NumPy and why it’s essential in Python data analysis
Creating and manipulating arrays (1D, 2D, 3D and more)
Mathematical, statistical, and logical operations with NumPy arrays
Advanced slicing, indexing, reshaping, and broadcasting
Linear algebra with NumPy: matrix multiplication, decompositions, eigenvalues
Integrating NumPy with Pandas and other Python libraries for data workflows
Real-life coding exercises to apply what you learn immediately
Why Enroll Now?
Lifetime Access
Certificate of Completion
Downloadable Resources
Regular Updates with New Content
Ask Questions Anytime and Get Support
This is not just theory — it’s a Python bootcamp-style hands-on course where you’ll practice everything you learn.
Course Features
Engaging video lectures regularly updated
Theory articles with real Python examples
Coding exercises and practical projects
Assignments and quizzes to reinforce learning
Ask questions any time – instructor support guaranteed
Projects and content updates added regularly to keep your learning fresh
Student-focused support: we respond to your questions, requests, and career concerns
After Completing This Course, You Will Be Able To:
Use NumPy confidently for efficient numerical computing
Perform data analysis tasks with speed and accuracy
Build real-world applications using NumPy and integrate with Pandas
Apply NumPy knowledge in machine learning and AI pipelines
Prepare for interviews and assessments in Python development
Real-World Applications of NumPy:
Big data manipulation in data science workflows
Image and signal processing using multidimensional arrays
Financial data modeling and analysis
Scientific computing and algorithm implementation
Meet Your Instructor: Faisal Zamir
With over 7 years of experience in Python development and education, Faisal Zamir brings clarity and practical knowledge to your learning path. His focus on project-based teaching ensures you build real Python programming experience, making this course a valuable part of your Python mega course or 100 days of code journey.
Who this course is for:
- Data scientists and analysts seeking to enhance their skills in numerical computing.
- Python developers interested in mastering array operations and data manipulation.
- Professionals and students aiming to apply mathematical and statistical techniques in their projects.
Instructors
- 4.3 Instructor Rating
- 568 Reviews
- 75,008 Students
- 85 Courses
Welcome to Python Artificial Intelligence Machine Learning Quiz Maker ?
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- 4.3 Instructor Rating
- 447 Reviews
- 48,896 Students
- 70 Courses
Hi, I’m Mr Khan, an experienced Python programming instructor with a passion for teaching students of all levels, from absolute beginners to advanced learners. My goal is to make complex programming concepts easy to understand and accessible for everyone, no matter where you’re starting from.
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