• Length:
6 Weeks
• Effort:
2–4 hours per week
• Price:

FREE
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• Institution
• Subject:
• Level:
• Language:
English
• Video Transcript:
English

## Prerequisites

Basic excel proficiency

Starting with the absolute basics of math and data, this course builds up your analyst skills while removing the mathematical hurdles and barriers that often come with beginning to learn how to analyze data. This course is intended for anyone with the desire to do data analysis and who would like to learn the math behind it all in a simplified way, as well as for anyone who would like a thorough refresher on the essentials.

Learn how to handle different data types, understand mathematical notation, become proficient in handling data sets and summary statistics, and even get a sneak peek into how to be effective at making stctistical inferences and predictions, all told in a way to maximize your understanding—so that afterward, you can be well on your way toward analyzing data in any field or discipline.

### What you'll learn

Skip What you'll learn
In this course, you will learn how to:
• Handle data sets for analysis purposes
• Understand beginning mathematical notation
• Work with different types of data
• Summarize data with distributions and graphs
• Apply summary statistics to analyze and understand data sets
• Calculate business metrics and KPIs to derive business value from data sets
• Apply basic inferential math to data
• Use tools to forecast future trends in data

### Syllabus

Skip Syllabus
Module 1: Introduction to Data and Variables

Module 2: Summarizing Data with Distributions and Graphs

Module 3: Summary Statistics

Module 5: Introduction to Inferential Math and Forecasting

Ben Olsen
Sr. Content Developer
Microsoft
Tom Carpenter
Data Science and Research Consultant
Trevor Barnes
Content Developer
Self-employed

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