The Data Analyst Career Certificate Program equips learners with practical, job-ready data analytics skills through hands-on, AI-supported projects covering data cleaning, visualization, analysis, and storytelling. Designed for flexible, self-paced learning, the program builds competencies aligned with industry expectations and the CompTIA Data+ certification.
This program provides learners with a structured, hands-on pathway into data analytics, combining guided projects, AI-supported practice, and coaching to build confidence and competence. Learners develop a professional portfolio, gain exposure to real-world datasets, and acquire skills aligned with in-demand analytics roles and certification standards, all within a flexible self-paced format.
Module 1: Workplace Math Foundations (Optional – 20 Hours)
Builds essential mathematical skills used in data analysis, including calculations, ratios, and business math concepts.
Module 2: Data Literacy Fundamentals (40 Hours)
Introduces core data concepts, data types, structures, and the ability to interpret and evaluate datasets.
Module 3: Data Analysis Foundations (20 Hours)
Covers introductory analytical methods for identifying trends, patterns, and insights within structured data.
Module 4: Data Visualization Principles (20 Hours)
Focuses on transforming data into visual formats such as charts and graphs to support interpretation and storytelling.
Module 5: Advanced Spreadsheet Skills (20 Hours)
Develops proficiency in spreadsheet functions, formulas, data organization, and analysis techniques.
Module 6: Excel Capstone Project (10 Hours)
Applies Excel skills to a real-world dataset to demonstrate data cleaning, analysis, and reporting capabilities.
Module 7: Introduction to Dashboards (15 Hours)
Explores the fundamentals of dashboard design, including KPI selection and visual data reporting.
Module 8: Google Sheets Capstone (5 Hours)
Reinforces spreadsheet and analysis skills through a practical Google Sheets-based project.
Module 9: Tableau Capstone (10 Hours)
Applies data visualization skills using Tableau to create interactive and insightful dashboards.
Module 10: Power BI Capstone (10 Hours)
Builds competency in Power BI for creating dynamic dashboards and business intelligence reports.
Module 11: CompTIA Data+ Exam Preparation (20 Hours)
Prepares learners for the CompTIA Data+ certification through review of exam domains and practice scenarios.
Module 12: SQL Fundamentals (70 Hours)
Introduces relational databases and basic SQL querying for data retrieval and manipulation.
Module 13: Advanced SQL (70 Hours)
Expands SQL knowledge with complex queries, joins, subqueries, and data transformation techniques.
Module 14: SQL Capstone Project (20 Hours)
Applies SQL skills to a comprehensive project involving database querying, analysis, and reporting.
By the end of the program, the learner will be able to:
Collect, clean, and prepare datasets for analysis using industry-standard techniques
Apply descriptive and diagnostic analytics to identify trends and patterns
Create clear and effective data visualizations to communicate insights
Interpret data findings to support business decision-making
Present analytical results in a structured, stakeholder-ready format
Demonstrate foundational competencies aligned with the CompTIA Data+ exam domains
Apply end-to-end data analytics workflows through real-world, project-based learning
Upon completion of this program, learners are eligible to sit for the CompTIA Data+ (Data Analyst Certification) exam.
This course is offered in English and Spanish.
This course is offered in English and Spanish.
To connect to the NC Lab platform, all students must complete a pre-enrollment process. The first step for the student is to get in touch via email at intake@nclab.com.