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.
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Python Project for Data Science
This course is part of multiple programs.
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Instructors: Azim Hirjani
250,837 already enrolled
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(4,482 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
Details to know
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2 quizzes
See how employees at top companies are mastering in-demand skills
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Share it on social media and in your performance review
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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
Instructors
![Azim Hirjani](https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-instructor-photos.s3.amazonaws.com/02/4bcc26dc094ee2a55e42ce83f51d3e/Profile-Picture.jpg?auto=format%2Ccompress&dpr=1&w=75&h=75&fit=crop)
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Recommended if you're interested in Data Analysis
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Google
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Learner reviews
4,482 reviews
- 5 stars
71.65%
- 4 stars
16.78%
- 3 stars
5.76%
- 2 stars
2.47%
- 1 star
3.31%
Showing 3 of 4482
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 Nov 29, 2021
It is the most applicable course on python anyone could participate in. I am glad I came across this amazing course. Kudos to the producers and thanks to every one on them.
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.
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