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Cameron Dodd - CompTIA Data+: DAO-001 Certification Guide: Complete coverage of the new CompTIA Data + (DAO-001) exam to help you pass on the first attempt

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Cameron Dodd CompTIA Data+: DAO-001 Certification Guide: Complete coverage of the new CompTIA Data + (DAO-001) exam to help you pass on the first attempt
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CompTIA Data+: DAO-001 Certification Guide: Complete coverage of the new CompTIA Data + (DAO-001) exam to help you pass on the first attempt: summary, description and annotation

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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 Description

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, theres 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.

Youll get an introduction to Data+ certification exam format to begin with, and then quickly dive into preparing data. Youll learn about collecting, cleaning, and processing data along with data wrangling and manipulation. As you progress, youll 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 youve gained throughout the book will be tested with the mock tests that appear in the final chapters.

By the end of this book, youll 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 and perform hypothesis testing
  • Create insightful reports to showcase your findings
Who this book is for

If 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.

Table of Contents
  1. Introduction to Data +
  2. Data Structures, Types, and Formats
  3. Collecting Data
  4. Cleaning and Processing Data
  5. Data Wrangling and Manipulation
  6. Types of Analysis
  7. Measures of Central Tendency and Dispersion
  8. Common Techniques in Descriptive Statistics
  9. Hypothesis Testing
  10. Introduction to Statistical Analyses
  11. Types of Reports
  12. Turning a Question into a Report
  13. Common Visualizations
  14. Data Governance
  15. Data Quality and Management
  16. Practice Exam One
  17. Practice Exam Two

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CompTIA Data DAO-001 Certification Guide Complete coverage of the new - photo 1
CompTIA Data+: DAO-001 Certification Guide

Complete coverage of the new CompTIA Data + (DAO-001) exam to help you pass on the first attempt

Cameron Dodd

BIRMINGHAMMUMBAI CompTIA Data DAO-001 Certification Guide Copyright 2022 - photo 2

BIRMINGHAMMUMBAI

CompTIA Data+: DAO-001 Certification Guide

Copyright 2022 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

Publishing Product Manager: Heramb Bhavsar

Content Development Editor: Joseph Sunil

Technical Editor: Sweety Pagaria

Copy Editor: Safis Editing

Project Coordinator: Farheen Fathima

Proofreader: Safis Editing

Indexer: Sejal Dsilva

Production Designer: Shankar Kalbhor

Marketing Coordinator: Priyanka Mhatre and Nivedita Singh

First published: December 2022

Production reference: 1301122

Published by Packt Publishing Ltd.

Livery Place

35 Livery Street

Birmingham

B3 2PB, UK.

ISBN 978-1-80461-608-6

www.packt.com

This book is dedicated to everyone out there who is working hard to improve themselves, fighting for a better life. I hope this book helps guide you on your journey.

Contributors
About the author

Cameron Doddis a data professional who specializes in instruction and writing clean, simple curricula 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.

I would like to thank the great team at Packt, who made this possible. Heramb, Kirti, Nazia, Joseph, Priyanka, Sweety, and everyone working behind the scenes came together to make this book what it is today. Finally, I would like to thank my wife, without whom I could not have done this. You are my support and my inspiration, now and always.

About the reviewer

Devin Moyais Data Science mentor from Jupiter, Florida. Since 2018, he has developed curriculum at top-rated Data Science bootcamps and mentored 450+ aspiring data professionals in more than a dozen countries. He specializes in being a data generalist, helping people from different backgrounds transition into data-related roles. He has a genuine love for the cutting-edge and when not working or spending time with his wife and kids, he is researching and building applications that combine AI, art, and human creativity.

Renganathan Palanisamyis a Data and AI Specialist and an avid trainer with 20+ years' experience in both academic and technical field. Serves as a Director with skills in Microsoft, AWS, Alibaba Cloud and IBM based Data and AI solutions.

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