Introduction to Data Analytics

Course

This course establishes a framework for data analytics as a series of progressive steps starting with the data source and ending with the interpretation of results. We introduce fundamental concepts such as data analytics life cycle, data integrity, and the four types of data analytics (descriptive, diagnostic, predictive, and prescriptive). Students who complete this course will be equipped with the skills to identify the data analytics strategy used in a given situation and where they are in the data analytics life cycle.

Beginner

3 weeks

Real-world Projects

Completion Certificate

Last Updated July 21, 2024

Skills you'll learn:

Power query • Data analysis process • Power BI Get Data • Power BI Basics

Prerequisites:

Excel • Data visualization • Chart types

Course Lessons

Lesson 1

Introduction to Data Analysis

In this lesson, we will introduce you to data analysis and what we will be covering in this course.

Lesson 2

Data Analytics Life Cycle

In this lesson, we will learn how to solve data analysis issues using each step of the data analytics life cycle.

Lesson 3

Data Integrity

In this lesson, we will review the importance of data integrity in data analysis, the components of data integrity, and how to identify and fix it.

Lesson 4

Types of Data Analytics & Statistics

In this lesson, we will review each of the different types of data analytics and when to use them, along with statistics that pertain to each analytics type.

Lesson 5

Power BI Overview

In this lesson, we will introduce Power BI and its capabilities as an analytics and data visualization tool.

Lesson 6 • Project

Out of the Box Analytics

In this project, you will use what you learned about data analytics to analyze KPIs for a company and represent your analysis with effective visuals.

Lesson 7

Microsoft Power BI Workspace

In this lesson, you'll learn how to set up a Windows desktop workspace to use Power BI

Taught By The Best

Ivan Vega

Sr. Analyst, Reporting & Insights

Ivan Vega is a Senior Analyst, Reporting & Insights at T-Mobile. On evenings and weekends, he teaches both SQL and data visualization courses for master's programs at St. Mary's College of California. He has been teaching for over 2 years and has been an analyst for over 8 years.

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