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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.

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

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

Microsoft Certified Azure Data Fundamentals (Exam DP-900) Certification Guide

£35.99

CompTIA Network+ N10-008 Certification Guide - Second Edition

£44.99

CompTIA Data+: DAO-001 Certification Guide

£27.99

Total £ 108.97

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Amazon verified reviews

Teodulfo Espero Oct 23, 2023

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

Zahraa Alabdul Jan 22, 2023

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!

Margaret Martinez Dec 27, 2022

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. ;)

Matthew Hermann Dec 26, 2022

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

student for life Feb 20, 2023

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.

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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