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CompTIA Data+: DAO-001 Certification Guide

CompTIA Data+: DAO-001 Certification Guide

By : Cameron Dodd
5 (11)
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CompTIA Data+: DAO-001 Certification Guide

CompTIA Data+: DAO-001 Certification Guide

5 (11)
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)
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1
Part 1: Preparing Data
7
Part 2: Analyzing Data
13
Part 3: Reporting Data
19
Part 4: Mock Exams

Summary

This chapter was all about analysis types. First, you learned that EDA is a set of quick, preliminary analyses designed to give you some basic information about your data. Using it, you will have a better idea of what questions to ask, how to ask them, and whether it is worth trying more advanced analytics, and it gives you a general idea of what your data is like. You also covered common types of EDA, such as descriptive statistics, relationships, and dimension reduction.

While talking about performance analysis, or analyses designed to check the progress of a company, team, or process, we covered KPIs, which focus on comparing key metrics; project management, which focuses on tracking how a team is performing; and process analysis, which tracks the efficiency of a multi-stage process.

Trend analysis is all about looking at things over time. Often, this is used to forecast, or predict, what a number will do in the future, but it can also be used to track how a group...

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CompTIA Data+: DAO-001 Certification Guide
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