What you will learn

Fundamentals of Python Programming
Data Manipulation Packages such as Numpy and Pandas
Data Visualization Packages such as Matplotlib and Seaborn
By successfully completing this course, you will be able to describe the fundamentals of programming in Python.

Skills you will gain

About this Specialization

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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. In the first course, Introduction to Python Fundamentals, you will learn the basic input and output methods in Python, so you can write your first program. You will learn variables, operations, and flow control statements for more advanced programming. In the second course, Introduction to Python Functions, you will create and use functions to make your programs reusable and adaptive. You will also learn how to utilize basic packages. In the third course, Python Packages for Data Science, you will gain familiarity with the packages specifically used for data science, such as Pandas, Numpy, Matplotlib, and Seaborn. In this specialization, you will learn that programming in Python is like building with LEGO: you simply follow instructions, choose the pieces that fit together, and create something fulfilling and unique. Instead of giving up in frustration, you will discover that learning Python can be easy and fun.

Applied Learning Project

Learners will become familiar with Python and essential packages for data science through exploratory labs and guided examples. Starting from one single-line Python statement, learners will be able to utilize the most widely used Python packages to play with data and gain insights from data.

Shareable Certificate

Earn a Certificate upon completion

100% online courses

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Flexible Schedule

Set and maintain flexible deadlines.

Beginner Level

Approximately 3 months to complete

Suggested pace of 5 hours/week

English

Could your company benefit from training employees on in-demand skills?

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Shareable Certificate

Earn a Certificate upon completion

100% online courses

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Flexible Schedule

Set and maintain flexible deadlines.

Beginner Level

Approximately 3 months to complete

Suggested pace of 5 hours/week

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

How the Specialization Works

Take Courses

A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time. Visit your learner dashboard to track your course enrollments and your progress.

Hands-on Project

Every Specialization includes a hands-on project. You'll need to successfully finish the project(s) to complete the Specialization and earn your certificate. If the Specialization includes a separate course for the hands-on project, you'll need to finish each of the other courses before you can start it.

Earn a Certificate

When you finish every course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.

There are 3 Courses in this Specialization

Course1

Course 1

Introduction to Python Fundamentals

4.8

stars

36 ratings

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.

The first course will introduce you to programming languages, with Python as an example. You are going to learn how to use variables and operators, as well as input/output and flow controls to build simple Python programs. The pace will be very slow, so you will feel comfortable learning Python as quickly or as slowly as you like. Are you ready? Let's go! Logo image courtesy of Mourizal Zativa. Available on Unsplash here: https://unsplash.com/photos/gNMVpAPe3PE

Course2

Course 2

Introduction to Python Functions

4.9

stars

10 ratings

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.

Course3

Course 3

Python Packages for Data Science

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.

Instructor

Di Wu

Frequently Asked Questions

What is the refund policy?
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Can I just enroll in a single course?
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
Can I take the course for free?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.
Is this course really 100% online? Do I need to attend any classes in person?
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
How long does it take to complete the Specialization?
It will take about 5 weeks to complete this Sepcialization.
What background knowledge is necessary?
No background knowledge is necessary to complete this Specialization.
Do I need to take the courses in a specific order?
It is recommended to complete the courses in this Specialization sequentially.
Will I earn university credit for completing the Specialization?
Expressway to Data Science: Python Programming cannot be taken for academic credit; however, it is designed to prepare learners for coursework in CU Boulder's Master of Science in Data Science (MS-DS) program.
What will I be able to do upon completing the Specialization?
By completing this Specialization, you will have a foundation in Python programming for data science.

More questions? Visit the Learner Help Center.

Expressway to Data Science: Python Programming Specialization

What you will learn

Skills you will gain

About this Specialization

Applied Learning Project