Statistical Thinking in Python (Part 1)

DataCamp

(3)

Course Features

Duration

3 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Teaching Type

Self Paced

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

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Python Data Science Toolbox (Part 2)

What You Will Learn

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

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

Course Content

Expand all sections

Module 1: Graphical Exploratory Data Analysis

Module 2: Quantitative Exploratory Data Analysis

Module 3: Thinking Probabilistically-- Discrete Variables

Module 4: Thinking Probabilistically-- Continuous Variables

Course Instructors

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

100%