Statistical Thinking in Python (Part 1)

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Course Features

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Duration

3 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

3 hours

Course Description

After all the work that went into getting data and converting it into an accessible format, you want to be able to draw concise and clear conclusions. This is the final step in any data analysis process. This course will teach you how to understand data, build a foundation for statistical thinking and interpret the information it gives you. The foundations of statistical thinking are now easier than ever thanks to computers. By the end of this course, you will be proficient in Python-based tools.

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

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Python Data Science Toolbox (Part 2)

What You Will Learn

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In this course, you will start building the foundation you need to think statistically, speak the language of your data, and understand what your data is telling you

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The foundations of statistical thinking took decades to build, but can be grasped much faster today with the help of computers

Course Instructors

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Justin Bois

Lecturer at the California Institute of Technology

Justin Bois is a Teaching Professor in the Division of Biology and Biological Engineering at the California Institute of Technology. He teaches nine different classes there, nearly all of which heavi...

Course Reviews

Average Rating Based on 3 reviews

5.0

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Course Cover

$12

$6

49% OFF

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