Course Overview

Overview
CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making.

Mine data more effectively. Analyze with rigor. Avoid confounding results.
Make yourself a valuable team member. Data literacy means youíre more employable and upwardly mobile.

Exam Details:
Maximum of 90 questions
Multiple choice and performance-based
90 Minutes
Passing Score: 675 (on scale of 100ñ900)
Objectives
During this course, students will be able to learn:
Data Concepts and Environments
Boost your knowledge in identifying basic concepts of data schemas and dimensions while understanding the difference between common data structures and file formats
Data Mining
Grow your skills to explain data acquisition concepts, reasons for cleansing and profiling datasets, executing data manipulation, and understanding techniques for data manipulation
Data Analysis
Gain the ability to apply the appropriate descriptive statistical methods and summarize types of analysis and critical analysis techniques
Visualization
Learn how to translate business requirements to create the appropriate visualization in the form of a report or dashboard with the proper design components
Data Governance, Quality, & Controls
Increase your ability to summarize important data governance concepts and apply data quality control concepts

Audience
Data Architect, Data Analyst, Data Scientist, Business Analyst, Reporting Analyst, Operations Analyst

Prerequisites
Recommended experience: CompTIA recommends 18ñ24 months of experience in a report/business analyst job role, exposure to databases and analytical tools, a basic understanding of statistics, and data visualization experience.

Topics
Topics Covered
Lesson 1: Identifying Basic Concepts of Data Schemas
Lesson 2: Understanding Different Data Systems
Lesson 3: Understanding Types and Characteristics of Data
Lesson 4: Comparing and Contrasting Different Data Structures, Formats, and Markup Languages
Lesson 5: Explaining Data Integration and Collection Methods
Lesson 6: Identifying Common Reasons for Cleansing and Profiling Data
Lesson 7: Executing Different Data Manipulation Techniques
Lesson 8: Explaining Common Techniques for Data Manipulation and Optimization
Lesson 9: Applying Descriptive Statistical Methods
Lesson 10: Describing Key Analysis Techniques
Lesson 11: Understanding the Use of Different Statistical Methods
Lesson 12: Using the Appropriate Type of Visualization
Lesson 13: Expressing Business Requirements in a Report Format
Lesson 14: Designing Components for Reports and Dashboards
Lesson 15: Distinguishing Different Report Types
Lesson 16: Summarizing the Importance of Data Governance
Lesson 17: Applying Quality Control to Data
Lesson 18: Explaining Master Data Management Concepts
Labs Available:
Assisted Lab: Navigating and Understanding Database Design
Assisted Lab: Understanding Data Types and Conversion
Assisted Lab: Working with Different File Formats
APPLIED LAB: Understanding Data Structure and Types and Using Basic Statements
Assisted Lab: Using Public Data
Assisted Lab: Profiling Data Sets
Assisted Lab: Addressing Redundant and Duplicated Data
Assisted Lab: Addressing Missing Values
APPLIED LAB: Preparing Data for Use
Assisted Lab: Recoding Data
Assisted Lab: Working with Queries and Join Types
APPLIED LAB: Building Queries and Transforming Data
Assisted Lab: Using the Measures of Central Tendency
Assisted Lab: Using the Measures of Variability
APPLIED LAB: Analyzing Data
Assisted Lab: Building Basic Visuals to Make Visual Impact
Assisted Lab: Building Maps with Geographical Data
Assisted Lab: Using Visuals to Tell a Story
Assisted Lab: Filtering Data
Assisted Lab: Designing Elements for Dashboards
Assisted Lab: Building an Ad Hoc Report
APPLIED LAB: Visualizing Data
Assisted Lab: Understanding Security Requirements for Protecting Information
License Information
One license provides access to CertMaster Learn for Data+ (DA0-001) with CertMaster Labs integrated throughout the course
Once activated, the license is valid for 12 months