CompTIA Data+

Live online events

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.

  • 10
    Jun
    5 days, Mon 8:00 AM CST - Fri 4:00 PM CST
    Online
    • $3,277.00 excl. HST
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Description

Course Objectives

On course completion, participants will be able to:

  • 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

Agenda

1 - Identifying Basic Concepts of Data Schemas

  • Identify Relational and Non-Relational Databases
  • Understand the Way We Use Tables, Primary Keys, and Normalization

2 - Understanding Different Data Systems

  • Describe Types of Data Processing and Storage Systems
  • Explain How Data Changes

3 - Understanding Types and Characteristics of Data

  • Understand Types of Data
  • Break Down the Field Data Types

4 - Comparing and Contrasting Different Data Structures, Formats, and Markup Languages

  • Differentiate between Structured Data and Unstructured Data
  • Recognize Different File Formats
  • Understand the Different Code Languages Used for Data

5 - Explaining Data Integration and Collection Methods

  • 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

6 - Identifying Common Reasons for Cleansing and Profiling Data

  • Learn to Profile Data
  • Address Redundant, Duplicated, and Unnecessary Data
  • Work with Missing Value
  • Address Invalid Data
  • Convert Data to Meet Specifications

7 - Executing Different Data Manipulation Techniques

  • Manipulate Field Data and Create Variables
  • Transpose and Append Data
  • Query Data

8 - Explaining Common Techniques for Data Manipulation and Optimization

  • Use Functions to Manipulate Data
  • Use Common Techniques for Query Optimization

9 - Applying Descriptive Statistical Methods

  • Use Measures of Central Tendency
  • Use Measures of Dispersion
  • Use Frequency and Percentages

10 - Describing Key Analysis Techniques

  • Get Started with Analysis
  • Recognize Types of Analysis

11 - Understanding the Use of Different Statistical Methods

  • Understand the Importance of Statistical Tests
  • Break Down the Hypothesis Test
  • Understand Tests and Methods to Determine Relationships Between Variables

12 - Using the Appropriate Type of Visualization

  • Use Basic Visuals
  • Build Advanced Visuals
  • Build Maps with Geographical Data
  • Use Visuals to Tell a Story

13 - Expressing Business Requirements in a Report Format

  • 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

14 - Designing Components for Reports and Dashboards

  • Design Elements for Reports and Dashboards
  • Utilize Standard Elements
  • Creating a Narrative and Other Written Elements
  • Understand Deployment Considerations

15 - Understand Deployment Considerations

  • Understand How Updates and Timing Affect Reporting
  • Differentiate Between Types of Reports

16 - Summarizing the Importance of Data Governance

  • Define Data Governance
  • Understand Access Requirements and Policies
  • Understand Security Requirements
  • Understand Entity Relationship Requirements

17 - Applying Quality Control to Data

  • Describe Characteristics, Rules, and Metrics of Data Quality
  • Identify Reasons to Quality Check Data and Methods of Data Validation

18 - Explaining Master Data Management Concepts

  • Explain the Basics of Master Data Management
  • Describe Master Data Management Processes