May 2017
Beginner
4h 30m
English
Closed Captioning available in English
Overview
In this 4-hour course, you will learn Python’s key tools and libraries for Data Science through real-world examples. This course covers Python’s Data Science Stack, providing you with hands-on experience to analyze and visualize data effectively.
What I will be able to do after this course- Learn about the most important libraries for Data Science in Python and install them using Anaconda.
- Understand the basics of Numpy, the foundation of analytical tools in Python.
- Create beautiful and informative visualizations for data analysis.
- Analyze real-world datasets and draw conclusions using the Pandas library.
- Perform statistical calculations to derive insights from data.
Alvaro Fuentes is a senior data scientist with over 14 years of experience in analytics. He leads advanced analytics projects at a global consulting firm and has published courses and books on Python and Data Science.
Who is it for?This course is ideal for data analysts, data scientists, and business analysts interested in learning Python for data analysis. It’s also suited for software engineers looking to explore Python’s capabilities in analytics.
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