DATA ANALYTICS & BUSINESS INTELLIGENCE
Organizations collect enormous amounts of information, but data only becomes valuable when people can organize it, understand it, and communicate what it means.
The Data Analytics & Business Intelligence Certificate introduces students to practical data analysis using spreadsheets, SQL fundamentals, dashboards, visualization, business metrics, reporting, and analytical thinking.
Students learn how to move from raw information to clear insights that can support better business decisions.
Learn how business data is collected, structured, cleaned, and prepared for analysis. Students develop an understanding of data types, tables, records, quality issues, and the importance of accurate information before analysis begins.
Build practical skills using spreadsheets to organize, calculate, filter, summarize, and analyze business information. Students explore formulas, functions, lookups, pivot-style analysis, and methods for turning large datasets into understandable information.
Learn the fundamentals of working with structured databases. Students are introduced to SQL concepts used to retrieve, filter, sort, group, and summarize information stored in business databases.
Learn how to transform analysis into visual information that is easy to understand. Students explore charts, dashboards, reporting layouts, visual hierarchy, and techniques for presenting important findings clearly.
Understand how organizations use data to measure performance. Students learn how to define and interpret key performance indicators (KPIs), compare results over time, identify trends, and connect data to business objectives.
Analysis has limited value if decision-makers cannot understand it. Students practice turning findings into clear recommendations, presentations, and reports that explain what happened, why it matters, and what the organization may want to consider next.
EMPLOYER-DRIVEN CURRICULUM
CCI looks at the way organizations use reporting, dashboards, spreadsheets, databases, and business metrics to make everyday decisions.
From there, the curriculum is structured around the practical capabilities professionals need to organize information, identify patterns, build reports, communicate findings, and support business operations.
Classes are designed to incorporate industry perspective from working professionals and prospective employers, helping students understand what useful analysis looks like outside the classroom.
Employer needs → Required skills → Curriculum design → Industry-led instruction → Career preparation
Coursework reflects the reporting and analytical tasks commonly performed inside modern organizations.
Students work with data, reports, spreadsheets, queries, metrics, and dashboards rather than studying analytics only in theory.
The emphasis is not simply on producing charts — it is on using information to answer meaningful business questions.
Curriculum can evolve as business-intelligence platforms, workplace tools, data practices, and employer expectations change.
Career & Labor Market Benchmark
“Data Analyst” can refer to many roles, industries, and experience levels, so there is no single BLS category representing every entry-level certificate-holder opportunity. CCI uses broader computer, mathematical, statistical-assistant, and data-support occupations as labor-market context rather than presenting one salary as an expected graduate outcome.
3.3%
2025 unemployment benchmark
$50,330
Median annual wage, May 2025
$40K–$55K
Conservative related range
$120,230
Advanced-career median wage
Related occupational context: Computer and mathematical occupations reported a 3.3% unemployment rate in the 2025 annual averages. BLS reports a May 2025 median annual wage of $50,330 for statistical assistants, while data-entry and related administrative support roles provide a broader comparison in roughly the low-$40,000 to mid-$50,000 range. Statistical assistants typically require a bachelor’s degree, so these figures are market context rather than direct certificate-level outcomes.
Advanced data careers: Data scientists had median annual pay of $120,230 in May 2025. Employment is projected to grow 35% from 2025 to 2035, with about 24,800 openings per year. BLS lists a bachelor’s degree as typical entry-level education, so these figures should not be presented as expected outcomes of this 12-week certificate.
Important employment disclosure: Salary, unemployment, employment-growth, and job-opening figures are U.S. national labor-market benchmarks for related occupations. They are not employment or salary outcomes for CCI graduates. Actual opportunities and earnings vary based on employer, location, education, experience, technical ability, economic conditions, and other factors. Completion of a CCI certificate does not guarantee employment, compensation, certification, or eligibility for a particular position.
Sources and methodology: BLS 2025 Occupational Unemployment; BLS May 2025 National Wage Data; BLS Data Scientists.
Move from collecting information to understanding what it means.
By the end of the program, students should have a practical understanding of how to:
Organize business data
Prepare information so it can be analyzed accurately.
Analyze information in spreadsheets
Use formulas, functions, filtering, and summaries to answer business questions.
Query structured data
Understand fundamental SQL concepts for retrieving and organizing information.
Build useful dashboards
Turn raw numbers into clear visual summaries.
Track business performance
Use KPIs and other metrics to understand changes and trends.
Communicate findings
Present data in a way that helps other people understand what happened and what it may mean for the business.
INDUSTRY-LED INSTRUCTION
Businesses do not analyze information simply to create reports.
They use data to understand customers, monitor performance, identify problems, allocate resources, measure progress, and make decisions.
CCI’s approach is designed to bring real-world business perspective into the classroom so students understand how analytical work supports the wider organization.
Students learn to think beyond “What does this chart show?” and begin asking: “What does this information mean for the business?”
Tuition & Payment Options
CCI aims to make program costs clear before students enroll. Eligible students may also have access to third-party financing or payment options that allow tuition to be spread over time rather than paid entirely upfront.
$5,600
12 weeks
2 classes per week
May be available to eligible applicants.
Financing is provided through independent third parties and is subject to eligibility, approval, rates, and terms established by the provider. Financing is not guaranteed.
You don’t need to be a data scientist to start building useful data skills.
The Data Analytics & Business Intelligence Certificate may be relevant for students interested in business, technology, operations, reporting, data, or analytical problem-solving.
It may be a good fit for:
Potential career directions may include:
Reporting Support · Data Support · Operations Analyst Support · Business Intelligence Support · Reporting Coordinator · Business Operations Support
These are examples of possible career directions and do not represent guaranteed employment or eligibility.
Admissions
Our admissions process is designed to help you understand the program, expectations, tuition, and next steps before you enroll.
01
Request Information
Tell us which program interests you and how we can reach you.
02
Speak With Admissions
Discuss your goals, program expectations, class schedule, tuition, and questions with an admissions representative.
03
Complete Your Application
Submit the information required for CCI to review your application and program eligibility.
04
Complete Enrollment
Review tuition and payment options, complete the required enrollment documents, and prepare for the beginning of your program.
NEXT COHORT ENROLLMENT
Learn to organize, analyze, visualize, and communicate business data.
Build practical skills in spreadsheets, SQL fundamentals, dashboards, business metrics, reporting, and analytical thinking through a focused 12-week Data Analytics & Business Intelligence Certificate.
