AutoML tools for data science by Coursera

Course Cover
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Course Features

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Duration

2 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

2 hours

Course Description

This project focuses on teaching users how to analyze data using different Python libraries and generate reports and visualizations without the need for coding. It covers various topics related to data science, including data analysis courses, tools used in data science, and the application of artificial intelligence in this field. By completing this project, users will gain practical knowledge and skills in data analysis and learn how to leverage artificial intelligence for data science purposes. Overall, this project offers a comprehensive overview of the intersection between artificial intelligence and data science, providing valuable insights for those interested in both fields.

Course Overview

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Virtual Labs

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International Faculty

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Case Based Learning

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Post Course Interactions

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Case Studies,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

Learn how to use different AutoML tools for efficient exploratory data analysis

Pandas Profiling

Visual Analysis via SweetViz

Analyzing missing data

Viz with AutoViz

Exploring ExploriPy

Course Cover