This learning path explores data sources and formatting, and how to present data in a way that provides meaningful information. You'll look at data access patterns, and how different interfaces allow you to access the underlying information. This course also provides a practical, real-world example of how all this theory plays out in a business scenario. By the end of this course, you will have a good foundational understanding of how to wrangle and visualize data.

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Learning Objectives

• Understand the difference between data and information
• Learn how to make data useful in order to gain insights from it
• Learn how to store data correctly
• Understand how these techniques can be applied in the business world

Intended Audience

This learning path is ideal for anyone who is required to interpret or understand data for reporting purposes or for use in machine learning initiatives.

Prerequisites

To get the most out of this learning path, you should be familiar with relational databases such as SQL or NoSQL and some common data formats such as CSV and JSON.