About this Course

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Coursera Labs
Includes hands on learning projects.
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Intermediate Level

Knowledge of Python and Python functions is recommended

Approx. 20 hours to complete
English

What you will learn

  • By successfully completing this course, you will be able to use Python pacakges developed for data science.

  • You will learn how to use Numpy and Pandas to manipulate data.

  • You will learn how to use Matplotlib and Seaborn to develop data visualizations.

Skills you will gain

  • Pandas
  • Seaborn
  • Matplotlib
  • Numpy
  • Data Visualization (DataViz)
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

Knowledge of Python and Python functions is recommended

Approx. 20 hours to complete
English

Offered by

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University of Colorado Boulder

Syllabus - What you will learn from this course

Week1
Week 1
5 hours to complete

Hello, packages!

5 hours to complete
5 videos (Total 34 min), 4 readings, 2 quizzes
Week2
Week 2
8 hours to complete

Data Manipulation: Numpy and Pandas

8 hours to complete
6 videos (Total 59 min), 6 readings, 3 quizzes
Week3
Week 3
4 hours to complete

Data Visualization: Matplotlib

4 hours to complete
3 videos (Total 34 min), 2 readings, 1 quiz
Week4
Week 4
4 hours to complete

Data Visualization: Seaborn

4 hours to complete
3 videos (Total 40 min), 2 readings, 1 quiz

About the Expressway to Data Science: Python Programming Specialization

Expressway to Data Science: Python Programming

Frequently Asked Questions

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