DATA ANALYTICS & DATA SCIENCE
Turn Data Into Insights. Build Skills That Drive Decisions.
Learn how to collect, clean, analyze, visualize, and communicate data to solve real-world problems and support better decisions.
The Data Analytics & Data Science program provides training in spreadsheets, SQL, Python, statistics, databases, data visualization, business intelligence, machine learning, and modern data technologies.
Delivery Options: Online · Hybrid · In-Person
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CHOOSE YOUR DATA PROGRAM
Professional Certificate in Data Analytics & Data Science
6 Months · $3,000
Build practical foundational skill in data analytics and data science through practical training in spreadsheets, data preparation, descriptive statistics, SQL, Python, and data visualization.
Learn how to work with raw Data, Identify patterns, Create reports and dashboards, and communicate useful insights.
Professional Diploma in Data Science & Data Engineering
12 Months · $6,000
Take your data skills further with deeper training in Python, statistics, SQL, databases, machine learning, data pipelines, data warehousing, cloud data platforms, and MLOps.
This pathway is designed for learners who want broader technical skills across data science and data engineering and are preparing for entry-level or junior-level opportunities in the data industry.
Associate of Applied Science in Data Analytics
2 Years · 4 Semesters · $ 12,000
Build a comprehensive foundation in data analytics, business intelligence, programming, statistics, databases, predictive analytics, cloud analytics, and advanced data practices.
Through extensive practical training and industry-focused projects, you will learn to transform business data into meaningful insights and support data-driven decision-making across modern organizations.
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.
- Develop practical skills in data cleaning, quality checking, descriptive statistics, SQL, database management, Python, data visualization, business intelligence, and analytical reporting.
- Explore advanced areas such as machine learning, predictive analytics, data engineering, ETL, data warehousing, cloud analytics, MLOps, and analytics automation.
PRACTICAL LEARNING
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 your skill together through an applied project where you define a problem, work with data, perform analysis, develop useful insights, and present your findings professionally.
BUILD SKILLS FOR DATA-DRIVEN CAREERS
Use your skills to support organizations across finance, marketing, operations, sales, healthcare, technology, and other industries.
FROM RAW DATA TO REAL-WORLD INSIGHTS
Develop the analytical mindset needed to ask the right questions, prepare reliable data, identify meaningful patterns, communicate findings clearly, and connect data insights to real organizational decisions.
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
CHOOSE THE PROGRAM THAT FITS YOUR GOALS
A two-year academic and practical program for learners seeking comprehensive training in data analytics, business intelligence, programming, statistics, databases, and advanced analytics.
PROGRAM INFORMATION
Professional Certificate: 6 Months · 24 Weeks · $3,000
Professional Diploma: 12 Months · 48 Weeks · $6,000
Associate of Applied Science: 2 Years · 4 Semesters · $12,000
Delivery: Online · Hybrid · In-Person
Next Start: September 2026
START YOUR DATA CAREER
Your ability to work with data can become one of your most valuable professional skills.
Build practical experience. Develop technical confidence. Learn to turn data into insights that organizations can use.
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