UID:
almahu_9949576473102882
Format:
1 online resource (370 pages)
ISBN:
9781804611371
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9781804616086
Content:
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.
Note:
CompTIA data+: DAO-001 certification guide : complete coverage of the new CompTIA Data + (DAO-001) exam to help you pass on the first attempt -- Contributors -- Table of Contents -- Preface -- Part 1: Preparing Data -- Chapter 1: Introduction to CompTIA Data+ -- Chapter 2: Data Structures, Types, and Formats -- Chapter 3: Collecting Data -- Chapter 4: Cleaning and Processing Data -- Chapter 5: Data Wrangling and Manipulation -- Part 2: Analyzing Data -- Chapter 6: Types of Analytics -- Chapter 7: Measures of Central Tendency and Dispersion -- Chapter 8: Common Techniques in Descriptive Statistics -- Chapter 9: Hypothesis Testing -- Chapter 10: Introduction to Inferential Statistics -- Part 3: Reporting Data -- Chapter 11: Types of Reports -- Chapter 12: Reporting Process -- Chapter 13: Common Visualizations -- Chapter 14: Data Governance -- Chapter 15: Data Quality and Management -- Part 4: Mock Exams -- Chapter 16: Practice Exam One -- Chapter 17: Practice Exam Two -- Index -- Other Books You May Enjoy.
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Mode of access: World Wide Web.
Language:
English
Keywords:
Electronic books.
URL:
https://portal.igpublish.com/iglibrary/search/PACKT0006564.html
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