This mini-course is intended to for you to demonstrate foundational Python skills for working with data. This course primarily involves completing a project in which you will assume the role of a Data Scientist or a Data Analyst and be provided with a real-world data set and a real-world inspired scenario to identify patterns and trends.

Discover new skills with $120 off courses from industry experts. Save now.


Python Project for Data Science
This course is part of multiple programs.


Instructors: Azim Hirjani +1 more
292,140 already enrolled
Included with
(4,747 reviews)
Recommended experience
What you'll learn
Play the role of a Data Scientist / Data Analyst working on a real project.
Demonstrate your Skills in Python - the language of choice for Data Science and Data Analysis.
Apply Python fundamentals, Python data structures, and working with data in Python.
Build a dashboard using Python and libraries like Pandas, Beautiful Soup and Plotly using Jupyter notebook.
Skills you'll gain
- Category: Dashboard
- Category: Data Visualization Software
- Category: Data Science
- Category: Jupyter
- Category: Web Scraping
- Category: Python Programming
- Category: Pandas (Python Package)
- Category: Data Manipulation
- Category: Data Analysis
- Category: Matplotlib
- Category: Data Collection
- Category: Data Processing
Details to know

Add to your LinkedIn profile
2 quizzes
Build your subject-matter expertise
- 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 is 1 module in this course
In this module, you will demonstrate your skills in Python - the language of choice for Data Science and Data Analysis. You will apply Python fundamentals, Python data structures, and work with data in Python. By working on a real project, you will model a Data Scientist or Data Analyst's role, and build a dashboard using Python and popular Python libraries using Jupyter notebook.
What's included
2 videos8 readings2 quizzes1 peer review5 app items5 plugins
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructors

Offered by

Why people choose Coursera for their career




Learner reviews
4,747 reviews
- 5 stars
71.72%
- 4 stars
16.65%
- 3 stars
5.74%
- 2 stars
2.50%
- 1 star
3.36%
Showing 3 of 4747
Reviewed on Apr 29, 2022
The assignment is quite easy, you just need to understand the code and rewrite the code to finish the final assignmentThis is a very useful course to help us imagin basically what a DS do
Reviewed on Dec 30, 2022
Material Covered was very good and meaningful in developing knowledge and skills. Unfortunately a significant amount of time was required accessing the tools to complete the work.
Reviewed on May 19, 2022
Very useful project and exercises included in this course. It teaches very well to students to really work from web scraping to data visualization with realistic use case
Frequently asked questions
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
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.