Use Python Libraries for Data Science
- Offered byOpenClassrooms
Use Python Libraries for Data Science at OpenClassrooms Overview
Use Python Libraries for Data Science
at OpenClassrooms
Duration | 8 hours |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course |
Credential | Certificate |
Use Python Libraries for Data Science at OpenClassrooms Highlights
Use Python Libraries for Data Science
at OpenClassrooms
- Course duration - 8HOURS
- Program type - Certification
- Difficulty level - INTERMEDIATE
Use Python Libraries for Data Science at OpenClassrooms Course details
Use Python Libraries for Data Science
at OpenClassrooms
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
Use Python Libraries for Data Science
at OpenClassrooms
Part #1 - Analyse data with Numpy, Matplotlib and Seaborn
Part #2 - Manipulate a dataset using Pandas
Use Python Libraries for Data Science at OpenClassrooms Faculty details
Use Python Libraries for Data Science
at OpenClassrooms
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
Use Python Libraries for Data Science
at OpenClassrooms
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