# What this book covers

*Chapter 1*, *Introduction to CompTIA Data+*, covers what topics the CompTIA Data+ certification exam will include, as well as how the exam will be administered.

*Chapter 2*, *Data Structures, Types, and Formats*, discusses how data is stored, covering high-level concepts of database structures down to specific file types that you will need to know about.

*Chapter 3*, *Collecting Data*, covers all the methods that are available for you to use for collecting data.

*Chapter 4*, *Cleaning and Processing Data*, covers various types of data, and how to clean and process them for use.

*Chapter 5*, *Data Wrangling and Manipulation*, teaches you how to shape the data into a form that various applications can use.

*Chapter 6*, *Types of Analytics*, covers the most common types of analyses, and various examples of each of them. You will learn to perform EDA, performance analysis, trend analysis, and various methods for each.

*Chapter 7*, *Measures of Central Tendency and Dispersion*, introduces you to measures of central tendency and measures of dispersion, as well as how to calculate them. You will learn what a probability distribution is, and understand dispersion, means, medians, and various other measures.

*Chapter 8*, *Common Techniques in Descriptive Statistics*, covers specific analytical techniques that are commonly used in data analytics and how to use them to calculate various statistics.

*Chapter 9*, *Hypothesis Testing*, looks at the fundamental concepts you need to understand about hypothesis testing and why it is important. You will learn about null and alternative hypotheses, the p-value, and other concepts.

*Chapter 10*, *Introduction to Inferential Analysis*, covers various types of statistical analyses, which will help you understand data better.

*Chapter 11*, *Types of Reports*, covers various types of reports, and how you can use each of them for various types of data analysis.

*Chapter 12*, *Reporting Process*, covers how you can create a report based on a question, or the structure and format that you need to follow for it.

*Chapter 13*, *Common Visualizations*, covers the most common visualizations that you can use to showcase your data, including heatmaps, treemaps, bubble charts, and many more.

*Chapter 14*, *Data Governance*, covers how you can manage your data and keep it secure. You will learn about various security measures and requirements, and you will understand what a data breach is and how to react to it.

*Chapter 15*, *Data Quality and Management*, covers various data control and quality checks, which will ensure that your data reports are accurate and useful.

*Chapter 16** and **Chapter 17**, Practice Exams One and Two*, will put you through a couple of practice exams that are designed around the Data+ exam so that you can prepare yourself for it. They have answers to every question, along with the context and explanation for each of them.