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
318,738 already enrolled
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Gain insight into a topic and learn the fundamentals.
4,856 reviews
Intermediate level
Recommended experience
Flexible schedule
7 hours to complete
Learn at your own pace
91%
Most learners liked this course
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
Tools you'll learn
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
2 assignments
Taught in English
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This course is available as part of
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- 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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Showing 3 of 4856
SK
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.
EH
Reviewed on Jun 11, 2021
From this level, I feel it started getting difficult and a few challenges. However, I have learned something from this course, good to practice and see how much fundamental knowledge that I learned.
OO
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.
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