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


Instructors: Azim Hirjani +1 more
333,063 already enrolled
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4,894 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
- Category: Data Analysis
- Category: Data Visualization Software
- Category: Data Presentation
- Category: Graphing
- Category: Data Collection
- Category: Web Scraping
- Category: Data Science
- Category: Analytical Skills
- Category: Dashboard Creation
Tools you'll learn
- Category: Python Programming
- Category: Jupyter
- Category: Pandas (Python Package)
- Category: Dashboard
Details to know

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2 assignments
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 are 2 modules in this course
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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 Sep 13, 2022
It was a great and informative course. I just hope further editions on this course can be a bit more detailed escpecially in explaining terms in the labs. Thank you for a well -put-together course.
Reviewed on Jul 20, 2022
For this course, at first i found it difficult. I tried to understand how to use all the commands. But after few practices, I was glad i able to use what commands for each question given.