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Use Python Libraries for Data Science 

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Use Python Libraries for Data Science
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OpenClassrooms 
Overview

Duration

8 hours

Total fee

Free

Mode of learning

Online

Difficulty level

Intermediate

Official Website

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Credential

Certificate

Use Python Libraries for Data Science
 at 
OpenClassrooms 
Highlights

  • Course duration - 8HOURS
  • Program type - Certification
  • Difficulty level - INTERMEDIATE
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Use Python Libraries for Data Science
 at 
OpenClassrooms 
Course details

Skills you will learn
More about this course
  • Python has gained a lot of traction over the years in the field of Data Analytics. It's easy-to-learn, free to install, and has many libraries designed for quick and easy data manipulation.
  • In this course, we will learn Python best practices for data analysis. We will first explore the basic functionality of Jupyter Notebook, and then dig into some of the most useful Python libraries for data analysis such as Pandas, Matplotlib, and NumPy.
  • Ready to start? Let's go!

Use Python Libraries for Data Science
 at 
OpenClassrooms 
Curriculum

Part #1 - Analyse data with Numpy, Matplotlib and Seaborn

Part #2 - Manipulate a dataset using Pandas

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Use Python Libraries for Data Science
 at 
OpenClassrooms 
Faculty details

Kurt Schuepfer
Designation : PhD from Miami University. Data Scientist. Founder and Chief Strategist at Accelerate Data Academy.

Use Python Libraries for Data Science
 at 
OpenClassrooms 
Entry Requirements

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  • Not mentioned

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Use Python Libraries for Data Science
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