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.

About this Course
You should have completed the prerequisite courses needed or have proficient knowledge in working with Python and Data.
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessWhat you will 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 will gain
- Data Science
- Python Programming
- Data Analysis
- Pandas
- Jupyter notebooks
You should have completed the prerequisite courses needed or have proficient knowledge in working with Python and Data.
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Start working towards your Bachelor's degree
Syllabus - What you will learn from this course
Crowdsourcing Short squeeze Dashboard
Reviews
- 5 stars71.31%
- 4 stars17.26%
- 3 stars5.48%
- 2 stars2.47%
- 1 star3.44%
TOP REVIEWS FROM PYTHON PROJECT FOR DATA SCIENCE
Lab works became more challenging and difficult throughout end of the course. Some tasks I've spent more than week just to find out the mistake. It is quite challenging yet fulfilling at the same time
It was cool to work on an interesting project and familiarize myself with web scraping. The labs and final were challenging, but that made it rewarding when it worked out.
Really interesting, the topics was of good knowledge and will be helpful for me in the future I believe.I would like to do more courses like these in the future .
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.
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