All About Comptia Data+

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All About CompTIA Data+
 

 
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

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+
 

 
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

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