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Python Numpy for Data Science

Step into the world of Data Science by boosting your program's computational capabilities with this beginner-friendly NumPy course.

  • Level: Intermediate
  • Duration: 3 weeks
  • Type: Interactive
  • Language: English
  • Practice Problems: 20+
  • Quizzes: 30+
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Course Content

  • 1.1 Introduction
  • 1.2 Revise: Python Lists

  • 2.1 NumPy Introduction
  • 2.2 NumPy Arrays
  • 2.3 Array Indexing
  • 2.4 Array Slicing
  • 2.5 Array Attributes

  • 3.1 Mathematical Operations
  • 3.2 Comparison/Logical Operations
  • 3.3 Statistical Operations

  • 4.1 N-d Array Creation
  • 4.2 Array Attributes
  • 4.3 Accessing & Modifying N-d Arrays

  • 5.1 NumPy Matrix
  • 5.2 Array Operations
  • 5.3 Broadcasting
  • 5.4 Universal Functions and Vectorized Operations

  • 6.1 Project : Student Record Analysis Using NumPy
  • 6.2 What's Next?

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Learn Python by Doing

Build hands-on projects that mirror real developer challenges. Apply what you learn immediately — so you can learn by doing, not just watching.

Build Skills by Building Projects

Projects you will create:

  • Students Record Analyzer

    Build a program that stores student marks, computes performance, and displays results in a clear format. A practical project to practice data handling, calculations, and formatted output.

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Frequently asked questions

You can start Python Numpy for Data Science with a 7-day free trial. Click "Enroll for FREE" to begin.

About 3 weeks. The course has 6 chapters.

Python Numpy for Data Science is an Intermediate course. We recommend completing Getting started with Python, Practice: Python Basics, Go beyond Python fundamentals and Practice: Python Intermediate first.

Yes. Complete Python Numpy for Data Science to earn a Python certificate with your name on it, which you can download or share on LinkedIn. Certificates are included with your subscription.

You'll build 1 project: Students Record Analyzer.