Python Packages for Data Science

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Python Packages for Data Science

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

Instructor: Di Wu

5,701 already enrolled

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4 modules

Gain insight into a topic and learn the fundamentals.

79 reviews

Intermediate level

Recommended experience

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

79 reviews

Intermediate level

Recommended experience

2 weeks to complete

at 10 hours a week

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.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

12 assignments

Taught in English

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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

There are 4 modules in this course

How many times have you decided to learn a programming language but got stuck somewhere along the way, grew frustrated, and gave up? This specialization is designed for learners who have little or no programming experience but want to use Python as a tool to play with data.

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 videos5 readings3 assignments

5 videosTotal 34 minutes

What Are Packages?2 minutes
Let's play with Random Package6 minutes
Exercise: Game 110 minutes
Exercise: Game 210 minutes
Summary5 minutes

5 readingsTotal 191 minutes

Course Updates and Accessibility Support1 minute
Assessment Strategy10 minutes
In-Class Demo90 minutes
Lab 160 minutes
Lab 1: Solutions30 minutes

3 assignmentsTotal 41 minutes

Unlock Lab 1: Solutions1 minute
Python Packages20 minutes
Self Asssessment20 minutes

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 readings5 assignments

6 videosTotal 59 minutes

Numpy - Introduction14 minutes
Numpy - More8 minutes
Numpy - More10 minutes
Numpy - In Sum10 minutes
Pandas - Introduction6 minutes
Pandas - More11 minutes

6 readingsTotal 360 minutes

In-Class Demo90 minutes
Lab 160 minutes
Lab 1: Solutions30 minutes
In-Class Demo90 minutes
Lab 260 minutes
Lab 2: Solutions30 minutes

5 assignmentsTotal 62 minutes

Unlock Lab 1: Solutions1 minute
Numpy20 minutes
Unlock Lab 2: Solutions1 minute
Pandas20 minutes
Self Asssessment20 minutes

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 readings2 assignments

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 readings2 assignments

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Instructor

Instructor ratings

(28 ratings)

Di Wu

University of Colorado Boulder

21 Courses63,234 learners

Offered by

University of Colorado Boulder

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Reviewed on Nov 6, 2023

trainer was very good. all topics got covered and explained vey well.

Reviewed on Mar 8, 2025

Excellent course for data scientist beginner and intermediate

Reviewed on Jan 26, 2025

Excellent, solid understanding of fundamental concepts.

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Frequently asked questions

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