Python Packages for Data Science

Python Packages for Data Science

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

Instructor: Di Wu

Access provided by Refugee Talent Hub

5,499 already enrolled

4 modules

Gain insight into a topic and learn the fundamentals.

78 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.

78 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

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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 videos Total 34 minutes

What Are Packages? 2 minutes
Let's play with Random Package 6 minutes
Exercise: Game 1 10 minutes
Exercise: Game 2 10 minutes
Summary 5 minutes

5 readings Total 191 minutes

Course Updates and Accessibility Support 1 minute
Assessment Strategy 10 minutes
In-Class Demo 90 minutes
Lab 1 60 minutes
Lab 1: Solutions 30 minutes

3 assignments Total 41 minutes

Unlock Lab 1: Solutions 1 minute
Python Packages 20 minutes
Self Asssessment 20 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 videos Total 59 minutes

Numpy - Introduction 14 minutes
Numpy - More 8 minutes
Numpy - More 10 minutes
Numpy - In Sum 10 minutes
Pandas - Introduction 6 minutes
Pandas - More 11 minutes

6 readings Total 360 minutes

In-Class Demo 90 minutes
Lab 1 60 minutes
Lab 1: Solutions 30 minutes
In-Class Demo 90 minutes
Lab 2 60 minutes
Lab 2: Solutions 30 minutes

5 assignments Total 62 minutes

Unlock Lab 1: Solutions 1 minute
Numpy 20 minutes
Unlock Lab 2: Solutions 1 minute
Pandas 20 minutes
Self Asssessment 20 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!