learning path

Data Essentials

In this course, we explore the different types of data that businesses make use of and look at all the ways it can be collected, stored and analyzed.

Difficulty: Beginner

Duration: Up to 54 minutes

Students: 1,537

Start

Enhance your skill setDevelop essential skills for thriving in real-world scenarios.

Stay focused, stay committedBoost your learning journey by enrolling: stay focused, consistent and achieve your goals with ease.

Earn a certificate of completionShow your skills and build your credibility when you include them in your resume and LinkedIn profile.

6 steps

There are 2 Exams in this learning path

There are 4 Courses in this learning path

EXAM

Duration: Up to 10 minutes

Data Essentials Pre-Assessment

You must complete the pretest before you start this content.

COURSE

Beginner

Duration: 2 minutes and 34 seconds

Data Essentials Introduction

Welcome to this lesson on Data Essentials.

COURSE

Beginner

Duration: 7 minutes and 38 seconds

Building Your Data Strategy

When you’re starting to think about data, you need to understand what you actually need it for. We explore some of the questions businesses need to answer when they’re thinking about the data they need and what they wish to use it for.

COURSE

Beginner

Duration: 16 minutes and 59 seconds

Acquiring & Managing Data

We explore the four different types of data that businesses make use of - primary data, transactional data, metadata and reference data - and the different ways businesses can go about sourcing them. We also dive into the tools that many businesses use to store all the data they collect, from data warehouses, to data lakes, to data lakehouses.

COURSE

Beginner

Duration: 6 minutes and 45 seconds

Using & Analyzing Data

Effective use of data can bring major benefits to businesses, but to extract real value from all the data you hold in-house, you’re going to need some serious analytics tools. We explore the different types of analytics that help businesses gain insight from their data and the importance of using data visualization when presenting your analysis.

EXAM

Duration: Up to 10 minutes

Data Essentials Post-Assessment