Logical Operations

Python Data Science: NumPy

Logical Operations

Python Data Science: NumPy

This course is part of Using Data Science Tools in Python Specialization

Bill Rosenthal

Instructor: Bill Rosenthal

Access provided by Nirmala College Muvattupuzha

Gain insight into a topic and learn the fundamentals.
4 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
4 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Speed up data processing with multi-dimensional NumPy arrays and utilizing built-in mathematical functions, masking, and broadcasting rules.

  • Import, export, and explore raw data using native loading commands.

  • Reshape and restructure complex datasets with advanced techniques.

  • Data files for this course are provided in the first course of this specialization, "Python Data Science: Environment Setup".

Details to know

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Assessments

1 assignment

Taught in English
Recently updated!

January 2026

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Build your subject-matter expertise

This course is part of the Using Data Science Tools in Python Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 3 modules in this course

The foundation of data science in Python® is NumPy. Most of your work will involve NumPy, whether directly or indirectly. So, you'll leverage the power of this library to manage your data and extract useful insights from that data.

What's included

1 reading5 plugins

While analyzing data is an important part of the data science process, so is changing that data to meet your needs. Whether it's to prepare and clean the data, or to modify it for easier analysis and presentation, being able to transform your NumPy arrays is crucial.

What's included

4 plugins

You'll wrap things up and then validate what you've learned in this course by taking an assessment.

What's included

1 reading1 assignment

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Bill Rosenthal
Logical Operations
158 Courses38,028 learners

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Logical Operations

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