University of London
IBM

Python Project for Data Science

Azim Hirjani
Joseph Santarcangelo

Instructors: Azim Hirjani

Sponsored by Abu Dhabi National Oil Company

235,844 already enrolled

Gain insight into a topic and learn the fundamentals.
4.5

(4,331 reviews)

Intermediate level

Recommended experience

Flexible schedule
Approx. 8 hours
Learn at your own pace
90%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.5

(4,331 reviews)

Intermediate level

Recommended experience

Flexible schedule
Approx. 8 hours
Learn at your own pace
90%
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

Details to know

Earn a career certificate

Add to your LinkedIn profile

Assessments

2 quizzes

Taught in English

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  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
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Add this credential to your LinkedIn profile, resume, or CV

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

Instructor ratings
4.5 (1,110 ratings)
Azim Hirjani
IBM
1 Course235,844 learners

Offered by

IBM

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4.5

4,331 reviews

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XC
5

Reviewed on May 19, 2022

VT
5

Reviewed on Aug 17, 2021

AC
5

Reviewed on Mar 10, 2021

Recommended if you're interested in Data Science

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