COMP-104
CompTIA Data+ Bootcamp
Description
CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. Data+ is an ideal certification for not only data-specific careers but other career paths that benefit from analytics processes and data analytics, visualization, data mining, interpretation, and governance knowledge.
U.S. DoDM 8140.03 APPROVED BY DEPARTMENT OF DEFENSE
Prerequisite
Recommended experience 18–24 months with exposure to databases and analytical tools, a basic understanding of statistics, and data visualization experience.
Objectives
By the end of this course, participants will:
- Understand the end-to-end data analytics lifecycle.
- Collect, clean, and prepare data for analysis.
- Create meaningful data visualizations and reports.
- Identify basic concepts of data schemas and understand the difference between common data structures.
- Explain data acquisition concepts, reasons for cleansing and profiling, and techniques for data manipulation.
- Apply the appropriate descriptive statistical methods and summarize types of analysis.
- Translate business requirements to form the appropriate visualization.
- Summarize important data governance concepts and apply data quality control concepts.
Key Takeaways
- A practical understanding of how data supports business decisions
- Confidence working with real-world datasets
- Awareness of data responsibility and ethics
- Mine and analyze data more effectively to avoid confounding results
- Produce reports that highlight what’s important to persuade and make informed data-driven decisions
- Exam-ready knowledge aligned to job-ready skills
Who Is This For
This course is ideal for early career data analysts or professionals: Junior Data Analysts, Reporting Analysts, Business Intelligence (BI) Analysts, Operations or Marketing Analysts.
Certificate of Completion
- Certificate of Completion issued after successful completion of all chapters, hands-on exercises, and course evaluation.
- Certificate is downloadable from the Ghost Team Academy Education Portal.
Training Outline
Day 1 – Introduction to Data & Analytics Concepts
- Topics:
- Welcome, course overview, and exam objectives
- Introduction to data types, structures, and data lifecycle
- Understanding data sources and environments (on-prem, cloud, hybrid)
- Key analytics concepts: descriptive, predictive, and prescriptive analytics
- Labs/Exercises: Exploring datasets and performing basic analysis
- Domain 1 review
Day 2 – Data Mining & Analysis
- Topics:
- Collecting and preparing data for analysis
- Statistical analysis basics: mean, median, mode, variance, correlations
- Handling structured vs. unstructured data
- Introduction to data tools: Excel, SQL, Python, or BI tools
- Labs/Exercises: Performing exploratory data analysis (EDA) with sample datasets
- Domain 2 review
Day 3 – Data Visualization
- Topics:
- Principles of effective data visualization
- Chart types, dashboards, and visual storytelling
- Using visualization to communicate insights
- Labs/Exercises: Building an interactive dashboard for decision-making; Creating charts, graphs, and dashboards using visualization tools
- Domain 3 review
Day 4 – Data Governance, Quality & Compliance
- Topics:
- Ensuring data quality: accuracy, completeness, timeliness
- Data governance frameworks and policies
- Privacy, security, and compliance considerations (GDPR, HIPAA, etc.)
- Labs/Exercises: Implementing data quality checks and governance policies; Case studies
- Domain 4 review
Day 5 – Data Reporting, Communication & Exam Prep
- Topics:
- Communicating data insights to stakeholders
- Translating analysis into actionable recommendations
- Labs/Exercises: Creating a data report and presentation for management
- Comprehensive exam review
- Practice test with multiple-choice and scenario-based questions
- Exam strategies, tips, and Q&A for CompTIA Data+ (DA0-001) certification
