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CompTIA Data+: DAO-001 Certification Guide
CompTIA Data+: DAO-001 Certification Guide

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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Key benefits

  • 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

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, 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.

Who is this book 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.

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

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Dec 23, 2022
Length: 370 pages
Edition : 1st
Language : English
ISBN-13 : 9781804616086
Vendor :
CompTIA
Category :
Concepts :

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Product Details

Publication date : Dec 23, 2022
Length: 370 pages
Edition : 1st
Language : English
ISBN-13 : 9781804616086
Vendor :
CompTIA
Category :
Concepts :

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Frequently bought together


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Total $ 142.97
Microsoft Certified Azure Data Fundamentals (Exam DP-900) Certification Guide
$46.99
CompTIA Network+ N10-008 Certification Guide - Second Edition
$58.99
CompTIA Data+: DAO-001 Certification Guide
$36.99
Total $ 142.97 Stars icon
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Teodulfo Espero Oct 23, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I purchased this book to prepare for my CompTIA Data+ certification exam. It was extensive, and it aided me in acing the exam.
Amazon Verified review Amazon
Zahraa Alabdul Jan 22, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Cameron's Certification Guide is fantastic.This guide is straightforward and easily digestible. As someone who has little experience with DB management, but a good understanding of how to Query data, this guide has helped tie multiple loose ends up on how Data is structured and presented. He even provides some common ways that Data can be structured poorly to help keep from making the mistakes of others. The detail in the examples provided are simple and effective. Lots of practice and examples throughout the book to supplement the knowledge. I cannot thank Cameron enough for providing such an insightful piece of work and I have no doubt that it covers everything you would need to take and pass the certification on the first attempt. Thank you Cameron! Wish me luck!
Amazon Verified review Amazon
Margaret Martinez Dec 27, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
CompTIA Data+: DAO-001 Certification Guide is a wealth of information. Although the entire guide is extremely valuable, I especially appreciated the breakdown of Data Structures, Types and Formats.Cameron Dodd has a thorough way of explaining complex concepts in a way that can easily be understood and remembered. An example is his breakdown of Data Structures, structured vs. unstructured and how they tie to the relational and non-relational databases. The example of the star vs. snowflake schema outlining the pros and cons of each allowed me to better understand when to use each effectively.In true form, Cameron explains the differences between data warehouses, data marts and data lakes (which can be confusing) in such a way a layperson can understand. My only negative feedback is that Cameron prefers Snowflake where I’m an AWS fan myself. ;)
Amazon Verified review Amazon
Matthew Hermann Dec 26, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book has a lot of great information about data management and helped me decide whether or not i wanted to major in the subject if/when i go back to college
Amazon Verified review Amazon
student for life Feb 20, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Cameron Dodd’s "CompTIA Data+: DAO-001 Certification Guide" is recommended for anyone interested in working with data, especially those preparing for the Data+ exam. Cameron presents complex topics in an easy-to-understand language, and the content has a natural flow to it. The book contains links to other resources, in-depth examples, end of chapter practice questions, and practice exams to reinforce the material. The exam’s content is presented in manageable chunks. The book covers essential topics in data science, such as data structures, types, and formats, and provides examples of how to structure data effectively. The practice exams included in the book help with confidence and exam readiness. Overall, the book is a great resource for anyone interested in working with data.
Amazon Verified review Amazon
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