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Data Analysis Diploma

Level: Zero → Advanced
Duration: 390 hours (330 hours Associate Level + 60 hours Professional Level) + Diploma Certificate upon completion
Format: Online

A structured, job-oriented path designed for learners starting from zero. Build real analytics skills across Excel, SQL, Statistics, Python, and Power BI—ending with an advanced capstone project and a portfolio-ready dashboard.

Diploma Policy

Each course can be taken as a standalone micro-credential. The recommended order ensures smooth progression from zero knowledge to advanced capability. Completing all included courses (and the capstone) grants the full diploma certificate.

Complete the foundational and intermediate curriculum.

  • 1. Power BI Beginner
  • 2. Microsoft Excel
  • 3. Statistical Thinking Fundamentals
  • 4. Applied Statistical Analysis
  • 5. Statistical Decision Intelligence
  • 6. professional Communication, Data Storytelling & Career Development
  • 7. SQL Fundamentals for Data Analysis
  • 8. Advanced SQL for Data Analysis
  • 9. Python Programming Fundamentals
  • 10. Python for Data Analysis

Included Courses

Power BI Beginner

Beginner (Zero-friendly)30 hours

A highly practical introduction that starts with what data and data analysis mean in real business contexts, then focuses on visualization and dashboard thinking. Learn how Power BI fits into the BI workflow and build interactive reports—without heavy DAX or complex modeling.

Excel for Data Analysis

Beginner → Intermediate30 hours

Build strong analysis fundamentals using Excel: clean data, use formulas and PivotTables, and create clear KPI summaries—perfect preparation for SQL and Power BI.

Statistical Thinking Fundamentals

Beginner30 hours

Statistics is taught as a reasoning system rather than a collection of formulas. This course helps learners develop statistical intuition, understand uncertainty, and interpret business data with confidence.

Applied Statistical Analysis

Intermediate30 hours

Apply probability, inference, regression, and time series analysis to realistic business datasets while developing evidence-based decision-making skills.

Statistical Decision Intelligence

Advanced30 hours

Transform statistical evidence into business decisions through experimental design, causal reasoning, forecasting, KPI evaluation, and executive communication.

Professional Communication, Data Storytelling & Career Development

Beginner to Professional30 hours

Bridge technical expertise and professional success with communication, storytelling, interview readiness, and career development skills for the modern workplace.

SQL Fundamentals for Data Analysis

Beginner30 hours

Learn the essential SQL skills needed to access, retrieve, filter, summarize, and combine business data from realistic relational databases.

Advanced SQL for Data Analysis

Advanced30 hours

Equip analysts with professional SQL techniques for enterprise analytics, query optimization, reusable solutions, and BI-ready datasets.

Python Programming Fundamentals

Beginner30 Training Hours

A practical, problem-focused introduction to programming using Python. Develop computational thinking, clean coding practices, and the foundations required for data analysis and software development.

Python for Data Analysis

Intermediate30 Training Hours

Bridge programming fundamentals with practical data analytics by introducing learners to the most widely used Python libraries and techniques in the analytics industry. Work with realistic business datasets to clean, transform, analyze, visualize, and prepare data for business reporting and decision-making.

Advanced Python for Data Analytics

Advanced30 Training Hours

Develop professional analytical workflows, automation, statistical applications, and enterprise reporting using modern Python tools while working with realistic business datasets.

Microsoft Power BI Professional for Data Analysts

Professional60 Training Hours

Integrates Excel, SQL, Python, and Statistics into enterprise Power BI solutions: end-to-end data preparation, modeling, DAX, optimization, deployment, and governance for professional analysts.