University of Colorado Boulder

Python Packages for Data Science

This course is part of Expressway to Data Science: Python Programming Specialization

Taught in English

Some content may not be translated

Di Wu

Instructor: Di Wu

2,967 already enrolled

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

4.4

(32 reviews)

Intermediate level

Recommended experience

19 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • By successfully completing this course, you will be able to use Python pacakges developed for data science.

  • You will learn how to use Numpy and Pandas to manipulate data.

  • You will learn how to use Matplotlib and Seaborn to develop data visualizations.

Details to know

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Assessments

8 quizzes, 4 assignments

Course

Gain insight into a topic and learn the fundamentals

4.4

(32 reviews)

Intermediate level

Recommended experience

19 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

This course is part of the Expressway to Data Science: Python Programming 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
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There are 4 modules in this course

Now you have learned the basics of Python to be able to play the magic! In this module, you are going to learn Python packages and experience their convenience and power. You are going to use the packages for something fun. Are you ready? Let's go!

What's included

5 videos4 readings2 quizzes1 assignment

In Data Science, we play with data. Python has many useful packages for data creation, integration, and manipulation. In this module, you are going to learn NumPy and Pandas, the most widely used two packages for data science. Are you ready? Let's go!

What's included

6 videos6 readings4 quizzes1 assignment

An outstanding data scientist is good at not only data processing and data analyzing but also data visualization and communication. In this module, you are going to learn Matplotlib, one of the most widely used Python package to transform your data in a much more interesting taste. Are you ready? Let's go!

What's included

3 videos2 readings1 quiz1 assignment

Data visualization can be done by matplotlib, and it is not enough. Seaborn is built upon matplotlib, and it provides even more power and convenience to the project. Are you ready? Let's go!

What's included

3 videos2 readings1 quiz1 assignment

Instructor

Instructor ratings
4.3 (12 ratings)
Di Wu
University of Colorado Boulder
15 Courses28,657 learners

Offered by

Recommended if you're interested in Data Analysis

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4.4

32 reviews

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RR
5

Reviewed on May 29, 2023

AM
4

Reviewed on Nov 6, 2023

RF
5

Reviewed on Dec 21, 2023

New to Data Analysis? Start here.

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