CompTIA Data+ Study Guide
Home > Computing and Information Technology > Computer certification > Computer certification: CompTIA > CompTIA Data+ Study Guide: Exam DA0-001(Sybex Study Guide)
CompTIA Data+ Study Guide: Exam DA0-001(Sybex Study Guide)

CompTIA Data+ Study Guide: Exam DA0-001(Sybex Study Guide)


     0     
5
4
3
2
1



Available


X
About the Book

Build a solid foundation in data analysis skills and pursue a coveted Data+ certification with this intuitive study guide CompTIA Data+ Study Guide: Exam DA0-001 delivers easily accessible and actionable instruction for achieving data analysis competencies required for the job and on the CompTIA Data+ certification exam. You'll learn to collect, analyze, and report on various types of commonly used data, transforming raw data into usable information for stakeholders and decision makers. With comprehensive coverage of data concepts and environments, data mining, data analysis, visualization, and data governance, quality, and controls, this Study Guide offers: All the information necessary to succeed on the exam for a widely accepted, entry-level credential that unlocks lucrative new data analytics and data science career opportunities 100% coverage of objectives for the NEW CompTIA Data+ exam Access to the Sybex online learning resources, with review questions, full-length practice exam, hundreds of electronic flashcards, and a glossary of key terms Ideal for anyone seeking a new career in data analysis, to improve their current data science skills, or hoping to achieve the coveted CompTIA Data+ certification credential, CompTIA Data+ Study Guide: Exam DA0-001 provides an invaluable head start to beginning or accelerating a career as an in-demand data analyst.

Table of Contents:
Introduction xv Assessment Test xxii Chapter 1 Today’s Data Analyst 1 Welcome to the World of Analytics 2 Data 2 Storage 3 Computing Power 4 Careers in Analytics 5 The Analytics Process 6 Data Acquisition 7 Cleaning and Manipulation 7 Analysis 8 Visualization 8 Reporting and Communication 8 Analytics Techniques 10 Descriptive Analytics 10 Predictive Analytics 11 Prescriptive Analytics 11 Machine Learning, Artificial Intelligence, and Deep Learning 11 Data Governance 13 Analytics Tools 13 Summary 15 Chapter 2 Understanding Data 17 Exploring Data Types 18 Structured Data Types 20 Unstructured Data Types 31 Categories of Data 36 Common Data Structures 39 Structured Data 39 Unstructured Data 41 Semi-structured Data 42 Common File Formats 42 Text Files 42 JavaScript Object Notation 44 Extensible Markup Language (XML) 45 HyperText Markup Language (HTML) 47 Summary 48 Exam Essentials 49 Review Questions 51 Chapter 3 Databases and Data Acquisition 57 Exploring Databases 58 The Relational Model 59 Relational Databases 62 Nonrelational Databases 68 Database Use Cases 71 Online Transactional Processing 71 Online Analytical Processing 74 Schema Concepts 75 Data Acquisition Concepts 81 Integration 81 Data Collection Methods 83 Working with Data 88 Data Manipulation 89 Query Optimization 96 Summary 99 Exam Essentials 100 Review Questions 101 Chapter 4 Data Quality 105 Data Quality Challenges 106 Duplicate Data 106 Redundant Data 107 Missing Values 110 Invalid Data 111 Nonparametric data 112 Data Outliers 113 Specification Mismatch 114 Data Type Validation 114 Data Manipulation Techniques 116 Recoding Data 116 Derived Variables 117 Data Merge 118 Data Blending 119 Concatenation 121 Data Append 121 Imputation 122 Reduction 124 Aggregation 126 Transposition 127 Normalization 128 Parsing/String Manipulation 130 Managing Data Quality 132 Circumstances to Check for Quality 132 Automated Validation 136 Data Quality Dimensions 136 Data Quality Rules and Metrics 140 Methods to Validate Quality 142 Summary 144 Exam Essentials 145 Review Questions 146 Chapter 5 Data Analysis and Statistics 151 Fundamentals of Statistics 152 Descriptive Statistics 155 Measures of Frequency 155 Measures of Central Tendency 160 Measures of Dispersion 164 Measures of Position 173 Inferential Statistics 175 Confidence Intervals 175 Hypothesis Testing 179 Simple Linear Regression 186 Analysis Techniques 190 Determine Type of Analysis 190 Types of Analysis 191 Exploratory Data Analysis 192 Summary 192 Exam Essentials 194 Review Questions 196 Chapter 6 Data Analytics Tools 201 Spreadsheets 202 Microsoft Excel 203 Programming Languages 205 R 205 Python 206 Structured Query Language (SQL) 208 Statistics Packages 209 IBM SPSS 210 SAS 211 Stata 211 Minitab 212 Machine Learning 212 IBM SPSS Modeler 213 RapidMiner 214 Analytics Suites 217 IBM Cognos 217 Power BI 218 MicroStrategy 219 Domo 220 Datorama 221 AWS QuickSight 222 Tableau 222 Qlik 224 BusinessObjects 225 Summary 225 Exam Essentials 225 Review Questions 227 Chapter 7 Data Visualization with Reports and Dashboards 231 Understanding Business Requirements 232 Understanding Report Design Elements 235 Report Cover Page 236 Executive Summary 237 Design Elements 239 Documentation Elements 244 Understanding Dashboard Development Methods 247 Consumer Types 247 Data Source Considerations 248 Data Type Considerations 249 Development Process 250 Delivery Considerations 250 Operational Considerations 252 Exploring Visualization Types 252 Charts 252 Maps 258 Waterfall 264 Infographic 266 Word Cloud 267 Comparing Report Types 268 Static and Dynamic 268 Ad Hoc 269 Self-Service (On-Demand) 269 Recurring Reports 269 Tactical and Research 270 Summary 271 Exam Essentials 272 Review Questions 274 Chapter 8 Data Governance 279 Data Governance Concepts 280 Data Governance Roles 281 Access Requirements 281 Security Requirements 286 Storage Environment Requirements 289 Use Requirements 291 Entity Relationship Requirements 292 Data Classification Requirements 292 Jurisdiction Requirements 297 Breach Reporting Requirements 298 Understanding Master Data Management 299 Processes 300 Circumstances 301 Summary 303 Exam Essentials 304 Review Questions 306 Appendix Answers to the Review Questions 311 Chapter 2: Understanding Data 312 Chapter 3: Databases and Data Acquisition 314 Chapter 4: Data Quality 315 Chapter 5: Data Analysis and Statistics 317 Chapter 6: Data Analytics Tools 319 Chapter 7: Data Visualization with Reports and Dashboards 322 Chapter 8: Data Governance 323 Index 327

About the Author :
ABOUT THE AUTHORS Mike Chapple, PhD, is Teaching Professor of IT, Analytics, and Operations at the University of Notre Dame. He’s a technology professional and educator with over 20 years of experience. Mike provides certification resources at his website, CertMike.com. Sharif Nijim is Assistant Teaching Professor of IT, Analytics, and Operations in the Mendoza College of Business at the University of Notre Dame. He teaches undergraduate and graduate courses on cloud computing, business analytics, and information technology.


Best Sellers


Product Details
  • ISBN-13: 9781119845256
  • Publisher: John Wiley & Sons Inc
  • Publisher Imprint: Sybex Inc.,U.S.
  • Height: 231 mm
  • No of Pages: 368
  • Returnable: N
  • Spine Width: 23 mm
  • Weight: 612 gr
  • ISBN-10: 1119845254
  • Publisher Date: 23 May 2022
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Series Title: Sybex Study Guide
  • Sub Title: Exam DA0-001
  • Width: 185 mm


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
CompTIA Data+ Study Guide: Exam DA0-001(Sybex Study Guide)
John Wiley & Sons Inc -
CompTIA Data+ Study Guide: Exam DA0-001(Sybex Study Guide)
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

CompTIA Data+ Study Guide: Exam DA0-001(Sybex Study Guide)

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    New Arrivals


    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!