LEARN THE SKILLS BEHIND MODERN DATA ANALYTICS

• Learn how to work with data from the beginning of the data lifecycle through analysis and decision-making.
• You will develop practical skills in data preparation and cleaning, learning how to identify errors, missing information, duplicates, inconsistencies, and other data-quality issues.
• Build confidence with spreadsheets and statistical analysis as you organize datasets, calculate key measures, identify trends, and create useful analytical reports.
• Develop practical SQL and database skills to retrieve, combine, organize, and analyze information stored in relational databases.
• Learn Python for data analytics and use it to prepare, manipulate, analyze, automate, and visualize datasets.
• Turn complex information into clear insights through data visualization and business intelligence, including dashboards, performance reports, charts, and data storytelling.
• For advanced pathways, explore machine learning, predictive analytics, data engineering, data warehousing, ETL, cloud analytics, and analytics automation.

PRACTICAL LEARNING

Move beyond theory and develop skills by working with data, solving analytical problems, and completing practical projects.

Data Analytics Laboratories

Work with realistic datasets and practice data preparation, analysis, visualization, SQL, Python, statistics, and business intelligence.

Business Intelligence Projects

Learn to develop dashboards, performance reports, KPIs, and visual presentations that help organizations understand what their data is saying.

Technical Data Projects

Apply your skills to practical problems involving databases, Python, SQL, machine learning, data pipelines, cloud analytics, and data engineering.

Capstone Projects

Bring everything together through an applied project where you define a problem, work with data, perform analysis, develop useful insights, and present your findings professionally.

WHAT YOU CAN DO WITH YOUR DATA SKILLS

Data is used across almost every modern industry, creating opportunities for people who can turn information into useful insights.

• Explore opportunities in data analytics and business intelligence, helping organizations understand performance, identify trends, develop dashboards, and support better decisions.
• Build skills for data science and predictive analytics, using statistics, machine learning, and analytical techniques to understand patterns and make informed predictions.
• Move toward data engineering and database operations, working with databases, data pipelines, data warehouses, cloud platforms, and the systems that make reliable data available for analysis.
• Work with teams across finance, marketing, operations, sales, healthcare, technology, and other industries in reporting, performance analysis, business analytics, data visualization, and decision support.

FROM RAW DATA TO REAL-WORLD INSIGHTS

The program is designed to help you develop the complete analytical mindset.

You will learn how to ask the right questions, find and prepare the right data, analyze it using appropriate tools, recognize meaningful patterns, communicate your findings clearly, and connect data insights to real organizational decisions. 

CURRICULUM

Professional Certificate in Data Analytics & Data Science Foundations

• Professional Communication & Workplace Writing
• Data Analytics & Data Science Foundations
• Spreadsheet Analytics, Data Preparation & Descriptive Statistics
• Database & SQL Fundamentals for Analytics
• Python Programming & Data Visualization Fundamentals
• Capstone: Applied Data Analytics & Data Science Project

Professional Diploma in Data Science & Data Engineering

• Professional Communication & Workplace Writing
• Research, Information Literacy & Problem Solving
• Data Science, Data Engineering & Industry Foundations
• Python Programming for Data Workflows
• Statistics & Probability for Data Analysis
• SQL, Database Systems & Data Management
• Data Preparation, Analysis & Visualization
• Machine Learning & Model Evaluation
• Data Engineering, ETL & Workflow Orchestration
• Data Warehousing, Big Data & Cloud Data Platforms
• MLOps, Data Governance & Production Operations
• Capstone: Integrated Data Science & Engineering Solution

Associate of Applied Science in Data Analytics

• Composition & Professional Communication
• College Algebra for Data Analytics
• Business & Organizational Foundations
• Foundations of Data Analytics & Data-Driven Decision Making
• Spreadsheet Analytics & Business Data Modeling
• Database Fundamentals & SQL for Analytics
• Python Programming for Data Analytics
• Statistics & Quantitative Methods for Data Analytics
• Data Preparation, Cleaning & Exploratory Data Analysis
• Advanced SQL, Data Modeling & Analytical Databases
• Research Methods & Technical Writing
• Data Visualization & Business Intelligence
• Data Governance, Quality, Privacy & Security
• Applied Business Analytics & Performance Measurement
• Predictive Analytics & Machine Learning Fundamentals
• Ethics, Privacy & Professional Responsibility in Data
• Data Warehousing, ETL & Cloud Analytics
• Advanced Analytics, Forecasting & Decision Support
• Analytics Automation & Professional Data Practice
• Capstone: Enterprise Data Analytics & Business Intelligence