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.
Python Project for Data Science
This course is part of multiple programs.
Instructors: Azim Hirjani
Sponsored by Coursera Learning Team
241,863 already enrolled
(4,394 reviews)
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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
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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 items4 plugins
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Reviewed on Oct 5, 2021
Best course so far, under the IBM Data Science professional certificate program. It is heavy on the practical side, which is a good thing as it gives the person a more hands-on experience.
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
Reviewed on Mar 10, 2021
I think the course is quite good. I helps me to put what I've learnt previously into practice and web scraping is a quite useful skill at work or do something for your own need.
Recommended if you're interested in Data Science
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