Experimental Design in Python

Name: Experimental Design in Python
Brand: Careervira
Price: 100 CAD
Availability: InStock
Rating: 1 (1 reviews)

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DataCamp

Course Report

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Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Teaching Type

Self Paced

Video Content

4 hours

Course Description

Data is everywhere, and it can help us understand many things. It is great to create beautiful graphs. How can we tell the difference between an outlier and a consistent effect? Is it possible to tell if a trend you see on a graph represents a reliable result or random chance? This course will help you analyze data and provide clear answers to all your questions. You will learn about statistical tests, how they can be used, and how to interpret the results and solve any problems. Learn about data from Olympic athletes as well as differences between continents.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Case Studies, Captstone Projects

Skills You Will Gain

Prerequisites/Requirements

Foundations of Probability in Python

What You Will Learn

Along the way, you will explore Olympic athlete data and the differences between populations of continents

In this course, you will learn how to interrogate datasets in a rigorous way, giving clear answers to your questions

Learn about experimental design, and how to explore your data to ask and answer meaningful questions

You will learn a range of statistical tests, how to apply them, how to understand their results, and how to deal with their shortcomings

Course Content

Expand all sections

Module 1: The Basics of Statistical Hypothesis Testing

Module 2: Design Considerations in Experimental Design

Module 3: Sample size, Power analysis, and Effect size

Module 4: Testing Normality: Parametric and Non-parametric Tests

Course Instructors

Luke Hayden

Postdoctoral Researcher

Luke is a Senior Data Scientist at Conjura, where he applies statistics, machine learning and data visualisation to commercial problems. While working as a researcher, his research projects included ...