Data Analysis Using Python by Coursera

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Course Features

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Duration

17 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Beginner

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Teaching Type

Self Paced

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Video Content

17 hours

Course Description

This course introduces basic data science techniques using Python. Students will be introduced to key concepts such as Data Frames and joining, and they will also learn how to use data analysis tools like numpy, pandas, and matplotlib. This course will provide an overview of loading, inspecting and querying real-world data. It also teaches basic questions about the data. The course will teach students basic data visualization and data aggregation.

Course Overview

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International Faculty

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Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Analyze data further by applying learned skills in data aggregation and summarization, as well as basic data visualization

Demonstrate how to load, inspect, and query real-world data, and answer basic questions about that data

Understand and apply core concepts like Data Frames and joining data, and use data analysis libraries like pandas, numpy, and matplotlib

Apply basic data science techniques using Python

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