Data Analytics Foundations: A Beginner’s Guide

Learn to harness the power of data analytics and understand just how much being data-led can benefit your career and your business.

This course will help you discover how vital data analytics is to any organization. You will identify the key components of the data analytics ecosystem including the different types of data analytics: descriptive, diagnostic, predictive, and prescriptive. You’ll also learn about the different data skill sets and data hires that are needed according to an organization’s size, goals, and data maturity.

No matter your level of technical expertise, you will come away from this course equipped with a step-by-step process of how to create your own data analytics and business strategy.

Learn from data

Identify key components of the data analytics ecosystem and understand how data connects - well, everything.

Plan with data

Effectively diagnose the pits and peaks of your workflows, and how to optimize them through data.

Thrive through data

Come away equipped with a step-by-step process of how to create and apply a data-driven business strategy.

Introduction to Data Analytics

• An introduction to the course and to the industry experts behind the learning.

What is Data Analytics?

• Learn what data analytics is and the benefits that it can bring to an organization.
• Identify the key components of the data analytics ecosystem including the different types of data analytics: descriptive, diagnostic, predictive, and prescriptive.

What is Descriptive Analytics?

• Understand the different elements of the data analytics infrastructure.
• Recognize the technical and adaptive challenges that come with implementing data analytics, and how to overcome them.

What is Diagnostic Analytics?

• Learn how diagnostic analytics identifies trends and patterns, helping to optimize processes and identify areas for improvement.
• Discover the role of Business Intelligence within data analytics, and how it can help improve almost every aspect of a business.

What is Predictive Analytics?

• Learn how predictive analytics uses Machine Learning and modeling to predict future outcomes, enabling organizations to be proactive in seeking out opportunities.
• Understand the technical challenges of predictive analytics and what solutions are available.

What is Prescriptive Analytics?

• Explore how prescriptive analytics creates and recreates the effect that different decisions might have on an organization.
• Recognize the benefits that come from the actionable suggestions provided by Machine Learning and Artificial Intelligence, and overcome common myths and misconceptions around them.

Transform with Data Analytics

• Identify the vital role that data analytics plays in digital transformation.
• Discover how data can be used to optimize processes to gain competitive advantage.
• Learn how to develop and implement a data analytics strategy for your organization.

Exam & Resources

• Complete an exam at the end of each module to earn your final certificate. Download the syllabus, a glossary, video transcripts and extended definitions.