Skills you'll learn:
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.
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
Last Updated November 22, 2024
Prerequisites:
Beginner
3 weeks
Last Updated November 22, 2024
Skills you'll learn:
Prerequisites:
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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