About this Course

274,104 recent views
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Intermediate Level

You should have completed the prerequisite courses needed or have proficient knowledge in working with Python and Data. 

Approx. 8 hours to complete
English

What 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
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Intermediate Level

You should have completed the prerequisite courses needed or have proficient knowledge in working with Python and Data. 

Approx. 8 hours to complete
English

Offered by

Placeholder

IBM Skills Network

Start working towards your Bachelor's degree

This course is part of the 100% online Bachelor of Applied Arts and Sciences from IBM Skills Network. If you are admitted to the full program, your courses count towards your degree learning.

Syllabus - What you will learn from this course

Content RatingThumbs Up91%(4,571 ratings)
Week1
Week 1
8 hours to complete

Crowdsourcing Short squeeze Dashboard

8 hours to complete
2 videos (Total 10 min), 8 readings, 8 quizzes

Reviews

TOP REVIEWS FROM PYTHON PROJECT FOR DATA SCIENCE

View all reviews

Frequently Asked Questions

More questions? Visit the Learner Help Center.