Course
CompTIA Data+
Overview
Course Description 📄
Welcome to the CompTIA Data+ course by Pennant Education!
Prerequisite
None
The “CompTIA Data+” certification course provides participants with essential skills in data analysis, interpretation, and management to facilitate informed decision-making. This course covers key areas such as data mining, visualization, statistical analysis, and governance, equipping individuals for data-centric roles in analytics and business intelligence. Ideal for professionals aiming to leverage data to drive business outcomes, it prepares learners for careers as data analysts, business analysts, or data scientists.
Learning Formats 🎓
Develop a solid understanding of data analysis concepts including data mining, visualization, and statistical methodologies.
Gain practical experience in managing and interpreting data, adhering to governance and ethical standards in data usage.
Prepare for the CompTIA Data+ Certification Exam, showcasing expertise in data analysis and readiness for professional roles in the field.
Encourage innovative approaches to extract, analyze, and interpret data, providing actionable insights for business improvement.
Key Features
Course Highlights ✨
Conceptual Clarity
Master core data analysis techniques such as data mining, cleaning, and visualization to uncover meaningful insights.
Skill Enhancement
Evaluate and interpret complex data sets to support strategic business decisions while ensuring compliance with data governance.
Innovative Application
Design, manage, and present data-driven solutions that effectively address and solve business challenges
Problem-Solving Proficiency
Develop the capacity to navigate through complex data landscapes, preparing for significant roles in data analytics and business intelligence.
Program
Roadmap
- Topic 1A: Identify Relational and NonRelational Databases
- Topic 1B: Understand the Way We Use Tables, Primary Keys, and Normalization
- Topic 2A: Describe Types of Data Processing and Storage Systems
- Topic 2B: Explain How Data Changes
- Topic 3A: Understand Types of Data
- Topic 3B: Break Down the Field Data Types
- Topic 4A: Differentiate between Structured Data and Unstructured Data
- Topic 4B: Recognize Different File Formats
- Topic 4C: Understand the Different Code Languages Used for Data
- Topic 5A: Understand the Processes of Extracting, Transforming, and Loading Data
- Topic 5B: Explain API/Web Scraping and Other Collection Methods
- Topic 5C: Collect and Use Public and Publicly Available Data
- Topic 5D: Use and Collect Survey Data
- Topic 6A: Learn to Profile Data
- Topic 6B: Address Redundant, Duplicated, and Unnecessary Data
- Topic 6C: Work with Missing Values
- Topic 6D: Address Invalid Data
- Topic 6E: Convert Data to Meet Specifications
- Topic 7A: Manipulate Field Data and Create Variables
- Topic 7B: Transpose and Append Data
- Topic 7C: Query Data
- Topic 8A: Use Functions to Manipulate Data
- Topic 8B: Use Common Techniques for Query Optimization
- Topic 9A: Use Measures of Central Tendency
- Topic 9B: Use Measures of Dispersion
- Topic 9C: Use Frequency and Percentages
- Topic 10A: Get Started with Analysis
- Topic 10B: Recognize Types of Analysis
- Topic 11A: Understand the Importance of Statistical Tests
- Topic 11B: Break Down the Hypothesis Test
- Topic 11C: Understand Tests and Methods to Determine Relationships Between Variables
- Topic 12A: Use Basic Visuals
- Topic 12B: Build Advanced Visuals
- Topic 12C: Build Maps with Geographical Data
- Topic 12D: Use Visuals to Tell a Story
- Topic 13A: Consider Audience Needs When Developing a Report
- Topic 13B: Describe Data Source Considerations For Reporting
- Topic 13C: Describe Considerations for Delivering Reports and Dashboards
- Topic 13D: Develop Reports or Dashboards
- Topic 13E: Understand Ways to Sort and Filter Data
- Topic 14A: Design Elements for Reports and Dashboards
- Topic 14B: Utilize Standard Elements
- Topic 14C: Creating a Narrative and Other Written Elements
- Topic 14D: Understand Deployment Considerations
- Topic 15A: Understand How Updates and Timing Affect Reporting
- Topic 15B: Differentiate Between Types of Reports
- Topic 16A: Define Data Governance
- Topic 16B: Understand Access Requirements and Policies
- Topic 16C: Understand Security Requirements
- Topic 17A: Describe Characteristics, Rules, and Metrics of Data Quality
- Topic 17B: Identify Reasons to Quality Check Data and Methods of Data Validation
- Topic 18A: Explain the Basics of Master Data Management
- Topic 18B: Describe Master Data Management Processes
Interested in Courses? Get in Touch!
Department Contact
- NYC
- (+62)21-2002-2012
- hello@yourdomain.tld
- Mon - Fri : 09.00-17.00
