Learn data analysis essentials and prepare for the Data+ exam with this CompTIA exam guide, complete with practice exams towards the end
Key Features
Apply simple methods of data analysis and find out when and how to apply more complicated ones
Take business requirements and produce a remote to the correct audience using appropriate visualizations
Learn about data governance rules, including quality and control
Book DescriptionThe 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.
What you will learn
Become well versed in the five domains covered in the DAO-001 exam
Gain an understanding of all the major concepts covered in the exam and when to apply them
Understand the fundamental concepts behind ETL and ELT
Explore various imputation and deletion methods to deal with missing data
Identify and deal with outliers
Learn about performing hypothesis testing
Create insightful reports to showcase your findings
Who this book is forIf you are a data analyst looking to get certified with DAO-001 exam this is the book for you. This CompTIA book is also ideal for who needs help in entering the quickly growing field of Data Analytics and are seeking professional certifications.
Sprache
Verlagsort
Zielgruppe
Maße
Höhe: 235 mm
Breite: 191 mm
Dicke: 20 mm
Gewicht
ISBN-13
978-1-80461-608-6 (9781804616086)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Cameron Dodd is a data professional who specializes in instruction and writing clean, simple curriculum that can be understood without an advanced degree. He has helped thousands of people around the world find their place in the field of data analytics. Recently, he wrote and taught the CompTIA Train-The-Trainer Course for Data+, where he taught instructors how to teach the information covered in this book.
Table of Contents
Introduction to Data +
Data Structures, Types, and Formats
Collecting Data
Cleaning and Processing Data
Data Wrangling and Manipulation
Types of Analysis
Measures of Central Tendency and Dispersion
Common Techniques in Descriptive Statistics
Hypothesis Testing
Introduction to Statistical Analyses
Types of Reports
Turning a Question into a Report
Common Visualizations
Data Governance
Data Quality and Management
Practice Exam One
Practice Exam Two
