Programming & Development

CompTIA Data+

Introduction:

CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. CompTIA Data+ gives you the confidence to bring data analysis to life. As the importance for data analytics grows, more job roles are required to set context and better communicate vital business intelligence. Collecting, analyzing, and reporting on data can drive priorities and lead business decision-making.

Course Objectives
Mining data
Manipulating data
Visualizing and reporting data
Applying basic statistical methods
Analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycleCourse Objectives
Mining data
Manipulating data
Visualizing and reporting data
Applying basic statistical methods
Analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle

Course Outline:

Identify Relational and Non-Relational Databases
Understand the Way We Use Tables, Primary Keys, and Normalization
Describe Types of Data Processing and Storage Systems
Explain How Data Changes
Understand Types of Data
Break Down the Field Data Types
Differentiate between Structured Data and Unstructured Data
Recognize Different File Formats
Understand the Different Code Languages Used for Data
Understand the Processes of Extracting, Transforming, and Loading Data
Explain API/Web Scraping and Other Collection Methods
Collect and Use Public and Publicly-Available Data
Use and Collect Survey Data
Learn to Profile Data
Address Redundant, Duplicated, and Unnecessary Data
Work with Missing Value
Address Invalid Data
Convert Data to Meet Specifications
Manipulate Field Data and Create Variables
Transpose and Append Data
Query Data
Use Functions to Manipulate Data
Use Common Techniques for Query Optimization
Use Measures of Central Tendency
Use Measures of Dispersion
Use Frequency and Percentages
Get Started with Analysis
Recognize Types of Analysis
Understand the Importance of Statistical Tests
Break Down the Hypothesis Test
Understand Tests and Methods to Determine Relationships Between Variables
Use Basic Visuals
Build Advanced Visuals
Build Maps with Geographical Data
Use Visuals to Tell a Story
Consider Audience Needs When Developing a Report
Describe Data Source Considerations For Reporting
Describe Considerations for Delivering Reports and Dashboards
Develop Reports or Dashboards
Understand Ways to Sort and Filter Data
Design Elements for Reports and Dashboards
Utilize Standard Elements
Creating a Narrative and Other Written Elements
Understand Deployment Considerations
Understand How Updates and Timing Affect Reporting
Differentiate Between Types of Reports
Define Data Governance
Understand Access Requirements and Policies
Understand Security Requirements
Understand Entity Relationship Requirements
Describe Characteristics, Rules, and Metrics of Data Quality
Identify Reasons to Quality Check Data and Methods of Data Validation
Explain the Basics of Master Data Management
Describe Master Data Management Processes

Enroll in this course

$2,475.00

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