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All About CompTIA Data+
 
data exam objective
 
Orignal Content Source: https://passyourcert.blogspot.com/2022/06/all-about-comptia-data-plus.html
CompTIA Data+ provides your team members with the confidence to make data analysis come to reality.
As the need for data analytics increases and more roles will be required to provide the right context and improve communication of vital business intelligence. The process of collecting, analyzing the data and reporting it on can help drive your company's priorities and guide in business making
CompTIA data+ ...
... is an early-career, data analytics certification that provides you with assurance that you can bring your data analysis into life and take decision-making based on data.
Overview
data exam objective
The Official CompTIA Data+ training course (DA0-001) was developed by CompTIA to help those who want to be a CompTIA Data+ candidate.
Verified by a rigorous evaluation to confirm the coverage in The CompTIA Data+ (DA0-001) exam objectives. The Official CompTIA Data+ Instructor and Student Guides provide students with the necessary skills and knowledge to translate business needs into the direction of data-driven decisions through collecting data, manipulating data, applying techniques of statistics, and then analyzing complex data sets, in a manner that adheres to quality and governance standards throughout the whole lifecycle of data.
Additionally, it can aid candidates in preparing for exam CompTIA Data+ certification exam.
Skills Covered in CompTIA Data+


Improve your knowledge of the basic principles of dimensions and schemas for data as you learn about the differences between standard data structures and file formats.


Learn to communicate the concept of data acquisition, motives behind cleansing and profiling databases, carrying out data manipulation, and gaining knowledge of methods for manipulating data


Learn to apply the correct descriptive statistical techniques and summarize different types of analysis as well as critical analysis methods.


Learn to translate business requirements into the most appropriate visualization that can be reports or dashboards using the correct design elements


Improve your ability to simplify important concepts of data governance and implement techniques for ensuring data quality


Who Should Attend CompTIA Data+


Data Analyst


Reporting Analyst


Marketing Analyst


Clinical Analyst


Operations Analyst


Business Analyst


Business Intelligence Analyst


Data+ is a perfect certification not just for data-related professions, but all career options can benefit from the process of analytics and knowledge of data analytics. Careers such as financial analysts, marketing specialists, human resource analysts or health care professionals in the clinical field can improve their performance and make informed choices when they make use of and analyze data properly.
Course Modules for CompTIA Data+
 
data exam objective
 
Module 1: Identifying Basic Concepts of Data Schemas


Topic 1A: Identify Relational and NonRelational Databases


Exam Objective: 1.1 Identify basic concepts of schemas and dimensions for data.


Review Activity: Relational and Non-Relational Databases


Topic 1B: Understand the Way We Use Tables, Primary Keys, and Normalization


Exam Goals 1.1 Recognize the fundamental concepts of data schemas and dimensions.


2.3 Given a scenario, execute data manipulation techniques.


5.1 Summarize important data governance concept


Video: Identifying Relationships in Data Review: Tables, Primary Keys, and Normalization


Module 2: Understanding Different Data Systems


Topic 2A: Describe Types of Data Processing and Storage Systems


Exam Objective: 1.1 Identify basic concepts of data schemas and dimensions.


Review Activity: Types of Data Processing and Storage Systems


Topic 2B: Explain How Data Changes


Exam Objective: 1.1 Identify basic concepts of data schemas and dimensions.


Review : Explain How Data Changes


Module 3: Understanding Types and Characteristics of Data


Topic 3A: Understand Types of Data


Exam Objective: 1.2 Compare and contrast different types of data


Review Activity: Types of Data


Topic 3B: Break Down the Field Data Types


Exam Objective: 1.2 Compare and contrast different kinds of data


Video: Understanding Field Data Types Review: Field Data Types


Module 4: Comparing and Contrasting Different Data Structures, Formats, and Markup Languages


4. How do you distinguish between structured Data from unstructured Data


Exam Objective: 1.3 Compare and contrast the most common formats and files for data.


Video Structured Data Vs. Structured Data vs. Review of Unstructured Data: Structured and. Unstructured Data


Topic 4B: Recognize Different File Formats


Exam Objective: 1.3 Compare and contrast typical formats and files used for data.


Review Activity: File Formats


Topic 4C: Understand the Different Code Languages Used for Data


Exam Objective: 1.3 Compare and contrast typical formats and files used for data.


Review-Activity: Code Languages Used for Data


Module 5: Explaining Data Integration and Collection Methods


Topic 5A: Understand the Processes of Extracting, Transforming, and Loading Data


Exam Objective: 2.1 Explain data acquisition concepts


Review: The Processes of Extracting, Transforming, and Loading Data


Topic 5B: Explain API/Web Scraping and Other Collection Methods


Exam Objectives: 2.1 Explain data acquisition concepts.


1.3 Compare and contrast common formats for files and data structures.


Review Activity: API/Web Scraping and Other Collection Methods


Topic 5C: Collect and Use Public and Publicly Available Data


Exam Objective: 2.1 Explain data acquisition concepts.


Video of the process of creating an Information Set using the Census Data Review Activity: Data that is accessible and open


Topic 5D: Use and Collect Survey Data


Exam Objective: 2.1 Explain data acquisition concepts.


Video: Building a Survey and Collecting Data Review Activity: Survey Data


Module 6: Identifying Common Reasons for Cleansing and Profiling Data


Topic 6A: Learn to Profile Data


Exam Objective: 2.2 Identify common reasons for cleaning and making profiles of data.


Review-Activity: Learn to Profile Data


Topic 6B: Address Redundant, Duplicated, and Unnecessary Data


Exam Objective: 2.2 Identify common reasons for profiling and cleaning data


Review Activity: Redundant, Duplicated, and Unnecessary Data


Topic 6C: Work that doesn't fit the values.


Exam Objective: 2.2 Identify common reasons for cleaning and recording data.


Review: Missing Values


Topic 6D: Address Invalid Data


Exam Objective: 2.2 Identify common reasons for cleaning and recording data.


Video: Correcting or Removing Invalid Data Review Activity: Invalid Data


Topic 6E: Convert Data to Meet Specifications


Exam Objective: 2.2 Identify common reasons for profiling and cleaning data


Review-Activity: Convert Data to Meet Specifications


Module 7: Executing Different Data Manipulation Techniques


Topic 7A: Manipulate Field Data and Create Variables


Exam Objective: 2.3 Given a scenario, execute data manipulation techniques.


Review Activity: Manipulate Field Data and Create Variables


Topic 7B: Transpose and Append Data


Exam Objective: 2.3 Given a scenario, execute data manipulation techniques.


Video: Transposing Data and Appending Data Sets Review-Activity: Transpose and Append Data


Topic 7C: Query Data


Exam Objective: 2.3 Given a scenario, execute data manipulation techniques


Video: Discovering how Joins Impact Data Results Review Activity: Query Data


Module 8: Explaining Common Techniques for Data Manipulation and Optimization


Topic 8A: Use Functions to Manipulate Data


Exam Objective: 2.3 Given a scenario, execute data manipulation techniques.


2.4 Define the most common methods for manipulating data as well as optimizing queries.


Video: Using Functions to Manipulate Data Review-Activity: Functions to Manipulate Data


Topic 8B: Use Common Techniques for Query Optimization


Exam Objective: 2.4 Explain common techniques to manipulate data as well as the optimization of queries


Review Activity: Common Techniques for Query Optimization


Module 9: Applying Descriptive Statistical Methods


Topic 9A: Use Measures of Central Tendency


Exam Objectives 3.1 If you're given the opportunity to describe a situation, you must use appropriate statistics.


Video: Calculating the Measure of Central


Tendency Review-Activity: Measures of Central Tendency


Topic 9B: Use Measures of Dispersion


Examination Objectives 3.1 If you are in a crisis, utilize the appropriate descriptive statistical methods


Review Activity: Measures of Dispersion


Topic 9C: Use Frequency and Percentages


The Objective of the Exam 3.1 If you're given an event, use appropriate descriptive statistical methods.


Video: Calculating Percentages Review-Activity: Frequency and Percentages


Module 10: Describing Key Analysis Techniques


Topic 10A: Begin with an Analysis


Exam Objective: 3.3 Summarize types of analysis as well as the most significant methods of analysis.


Review Activity : Review Activity Start by Getting Started with Analysis


Topic 10B: Recognize Types of Analysis


Exam Objective: 3.3 Summarize types of analysis and the most crucial methods of analysis.


Review-Activity: Types of Analysis


Module 11: Understanding the Use of Different Statistical Methods


Topic 11A: Understand the Importance of Statistical Tests


The objective of the exam includes: 3.2 Explain the purpose of statistical inference techniques.


Video: Understanding the Importance of Statistical Tests.


Review Activity: The Importance of Statistical Tests


Topic 11B: Break Down the Hypothesis Test


The exam's objective includes: 3.2 Explain the purpose of statistical inference techniques.


Review-Activity: The Hypothesis Test


Topic 11C: Understand Tests and Methods to Determine Relationships Between Variables


The exam's objective includes: 3.2 Explain the purpose of statistical inference.


Review Activity: Tests and Methods to Determine Relationships Between Variables.


Module 12: Using the Appropriate Type of Visualization


Topic 12A: Use Basic Visuals


Exam Scope: 4.4 In the event that you're faced with a scenario, you must use the appropriate method of visualization.


Review-Activity: Basic Visuals


Topic 12B: Build Advanced Visuals


Examination Objectives 4.4 In a particular scenario, apply the appropriate type of visualization.


Video: Building and Reading Stacked Charts Review Activity: Advanced Visuals


Topic 12C: Create Maps with Geographical Data


The Objective of the Exam 4.4 In a particular scenario, apply the proper type of visualization.


Review-Activity: Maps with Geographical Data


Topic 12D: Use Visuals to Tell a Story


Exam Scope: 4.4 When you're confronted with a situation, make use of the appropriate type of visualization.


Review Activity: Visuals to Tell a Story


Module 13: : Expressing Business Requirements in a Report Format


Topic 13A: Consider Audience Needs When Developing a Report


Exam Objectives: 4.1 On the basis of a specific scenario which requires business analysis Translate the requirements into an outline.


Review Activity: Audience Needs When Developing a Report


Topic 13B: Describe Data Source Considerations For Reporting


Exam Objective: 4.3 Given a scenario, use appropriate methods for dashboard development.


Video: Accessing Source Data and Creating Reports Review Activity: Data Source Considerations for Reporting


Topic 13C: Describe Considerations for Delivering Reports and Dashboards


The Objective of the Exam 4.1 In a scenario that requires analysis of business Translate the needs into reports.


4.3 Given a scenario, use appropriate methods for dashboard development.


Review Activity: Considerations for Delivering Reports and Dashboards.


Topic 13D: Develop Reports or Dashboards


The exam's goal 4.1 In light of a particular scenario and a business need to translate it into an article.


4.3 Given a scenario, use appropriate methods for dashboard development.


Video: Selecting Different Visualization Layouts Review Activity: Develop Reports or Dashboards


Topic 13E: Understand Ways to Sort and Filter Data


Exam Objectives 4.1 In the event of a scenario and an enterprise requirement take it and translate it into an outline.


4.3 Given a scenario, use appropriate methods for dashboard development


Review Activity: Ways to Sort and Filter Data


Module 14: Designing Components for Reports and Dashboards


Topic 14A: Design Elements for Reports and Dashboards


The exam's objective 4.2 In a specific scenario you're given create the appropriate elements for dashboards and reports.


Video: Using Appropriate Design Components for Reports and Dashboards. Review Activity: Design Elements for Reports/Dashboards


Topic 14B: Utilize Standard Elements


Exam Scope: 4.2 When you're in a position to do so, utilize suitable design elements to create dashboards and reports.


Review Activity: Standard Elements for Reports and Dashboards


Topic 14C: Creating a Narrative and Other Written Elements


Examination Objectives 4.2 If you're faced with an opportunity that requires the design, you must utilize the proper components for dashboards and reports.


Review Activity: Narrative and Other Written Elements


Topic 14D: Understand Deployment Considerations


Exam Objective: 4.3 Given a scenario, use appropriate methods for dashboard development


Video: Deployment Considerations. Review Activity: Deployment Considerations


Module 15: Distinguishing Different Report Types


Topic 15A: Understand How Updates and Timing Affect Reporting


Exam Objectives: 4.5 Compare and contrast various types of reports.


Review Activity: How Updates and Timing Affect Reporting


Topic 15B: Differentiate Between Types of Reports


Exam The scope of the exam: 4.5 Compare and contrast different kinds of reports.


Review Activity: Types of Reports


Module 16: Summarizing the Importance of Data Governance


Topic 16A: Define Data Governance


Exam Objective: 5.1 Summarize important data governance concepts.


Video: Importance of Data Governance


Review Activity: Data Governance


Topic 16B: Understand Access Requirements and Policies


Exam Objective: 5.1 Summarize important data governance concepts.


Review Activity: Access Requirements and Policies


Topic 16C: Understand Security Requirements


Exam Objective: 5.1 Summarize important data governance concepts.


Review Activity: Security Requirements


Topic 16D: Understand Entity Relationship Requirements


Exam Objective: 5.1 Summarize important data governance concepts.


Review Activity: Entity Relationship Requirements


Module 17: Applying Quality Control to Data


Topic 17A: Describe Characteristics, Rules, and Metrics of Data Quality


Exam Objective: 5.2 Given a scenario, apply data quality control concepts.


Review Activity: Characteristics, Rules, and Metrics of Data Quality


Topic 17B: Identify Reasons to Quality Check Data and Methods of Data Validation


Exam Objective: 5.2 Given a scenario, apply data quality control concepts.


Review Activity: Reasons to Quality Check Data and Methods of Data Validation


Module 18: Explaining Master Data Management Concepts


Topic 18A: Explain the Basics of Master Data Management


Exam Objective: 5.3


Video: Understanding Data Management. Review Activity: The Basics of Master Data Management


Topic 18B: Describe Master Data Management Processes


Exam Objective: 5.3 Explain master data management (MDM) concepts.


Review Activity: Master Data Management Processes


Enroll Now and Get CompTIA Data+ Certification Training and Sample Questions
data exam objective
 
 

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PassYourCert is a leading provider of security and technology training and consulting services, specialising in a wide range of IT security courses and information security services. PassYourCert was founded by a group of dedicated and experienced experts with over 15 years of expertise in the field. If you are looking for Professional training, certification, and consulting services in all areas of information technology and cyber security, Visit: https://passyourcert.net/ and contact us

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