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With this course, you will:

  • Learn the fundamentals of Python NumPy
  • Practice with coding exerises and create projects
  • Earn a professional certificate
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Course

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+

  • message-question

    Quizzes: 30+

Course Content

Chapter 1:

Introduction

1.1Introduction1.2Revise: Python Lists
Chapter 2:

Basics of NumPy

2.1NumPy Introduction2.2NumPy Arrays2.3Array Indexing2.4Array Slicing2.5Array Attributes
Chapter 3:

NumPy 1D Array Operations

3.1Mathematical Operations3.2Comparison/Logical Operations3.3Statistical Operations
Chapter 4:

Numpy in N Dimensions

4.1N-d Array Creation4.22D Array Attributes4.3Accessing & Modifying N-d Arrays
Chapter 5:

Advanced Concepts of NumPy

5.1NumPy Matrix5.2Array Operations5.3Broadcasting5.4Universal Functions and Vectorized Operations
Chapter 6:

Project

6.1Project : Student Record Analysis Using NumPy6.2What's Next?
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Don't just learn Python Numpy
Apply it to create real-world projects

Projects you will create:

CERTIFICATE OF COMPLETION

This is to certify that

Jane Doe

has successfully completed the course

Python Numpy for Data Science

Date of Issue:

Certification Code:

SIGNATURE

Founder, Chief Executive Officer

Programiz

Gain a competitive edge with our professional certifications

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CERTIFICATE OF COMPLETION

This is to certify that

Jane Doe

has successfully completed the course

Python Numpy for Data Science

Date of Issue:

Certification Code:

SIGNATURE

Founder, Chief Executive Officer

Programiz

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Aaron Sang
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Aaron SangUSA

Feedback from our students

Aaron Sang
“The platform is wonderful and will continue to be a step above the rest of what's out there right now.”

Aaron SangUSA

Landan Devencia
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