Book Image

CompTIA Data+: DAO-001 Certification Guide

By : Cameron Dodd
Book Image

CompTIA Data+: DAO-001 Certification Guide

By: Cameron Dodd

Overview of this book

The CompTIA Data+ certification exam not only helps validate a skill set required to enter one of the fastest-growing fields in the world, but also is starting to standardize the language and concepts within the field. However, there’s a lot of conflicting information and a lack of existing resources about the topics covered in this exam, and even professionals working in data analytics may need a study guide to help them pass on their first attempt. The CompTIA Data + (DAO-001) Certification Guide will give you a solid understanding of how to prepare, analyze, and report data for better insights. You’ll get an introduction to Data+ certification exam format to begin with, and then quickly dive into preparing data. You'll learn about collecting, cleaning, and processing data along with data wrangling and manipulation. As you progress, you’ll cover data analysis topics such as types of analysis, common techniques, hypothesis techniques, and statistical analysis, before tackling data reporting, common visualizations, and data governance. All the knowledge you've gained throughout the book will be tested with the mock tests that appear in the final chapters. By the end of this book, you’ll be ready to pass the Data+ exam with confidence and take the next step in your career.
Table of Contents (24 chapters)
Part 1: Preparing Data
Part 2: Analyzing Data
Part 3: Reporting Data
Part 4: Mock Exams

Distinguishing between static and dynamic reports

In this section, we will briefly talk about static and dynamic reports. This designation is a little different than the other report types you will learn about in this chapter. To be clear, all reports will either be static (sometimes called point-in-time) or dynamic (sometimes called real-time). Any of the other types of reports (ad hoc, self-service, recurring, or research) will ALSO be either static or dynamic. The reason the report is static or dynamic has nothing to do with the contents of the report but, rather, the relationship between the report and the original data.

Point-in-time reports

Throughout most of history, static reporting was the only kind of reporting. The idea is relatively simple: if you collect data, stop, analyze data, and then report it, you have created a static report. The moment you stop collecting data, it will become static. Effectively, this kind of report is like a picture that gives the status...