What you will learn
- Understand the fundamentals of data analysis and business intelligence.
- Learn how to connect, clean, and transform data using Power Query.
- Develop interactive dashboards and reports using Power BI.
- Explore data modeling concepts and create relationships between datasets.
- Gain expertise in DAX (Data Analysis Expressions) for advanced calculations.
- Implement best practices in data visualization and storytelling.
- Work on real-world projects to build a professional Power BI portfolio.
Program Overview
Introduction to Data Analysis with Power BI
⏱️ 4-6 weeks
Learn the basics of data analysis and the role of Power BI in business intelligence.
- Understand key data concepts, including ETL (Extract, Transform, Load).
- Learn how to import and clean data in Power BI.
- Explore the Power BI interface and its core functionalities.
Data Preparation and Transformation
⏱️6-8 weeks
Develop skills to clean, structure, and transform raw data for analysis.
- Use Power Query to merge and reshape datasets.
- Learn best practices for data cleaning and error handling.
- Understand how to optimize data for performance and efficiency.
Data Modeling and DAX Formulas
⏱️ 8-10 weeks
Create relational data models and use DAX formulas for advanced calculations.
- Build data models to establish relationships between tables.
- Use DAX to create custom measures, calculated columns, and aggregations.
- Implement time intelligence functions for trend analysis.
Data Visualization and Reporting
⏱️8-12 weeks
Learn how to design effective dashboards and reports to present insights.
- Use visualization techniques to highlight key trends and patterns.
- Customize charts, tables, and KPIs for dynamic reporting.
- Apply best practices in dashboard design and user experience.
Capstone Power BI Project
⏱️ 12-15 weeks
Apply your knowledge to a real-world Power BI project.
- Work with large datasets to clean, analyze, and visualize insights.
- Develop a professional Power BI dashboard for business decision-making.
- Present your findings using data storytelling techniques.
- Earn the Microsoft Power BI Data Analyst Professional Certificate upon completion.
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Job Outlook
- Growing Demand: The data analytics field is projected to grow by 25% by 2030 (U.S. Bureau of Labor Statistics), making it one of the fastest-growing professions.
- High-Paying Career Paths: Entry-level data analysts earn between $65,000 – $85,000 per year, while experienced professionals can command salaries of $100,000 or more.
- Industry-Wide Applications: Data analytics skills, particularly with Power BI, are in high demand across industries such as finance, healthcare, retail, technology, and e-commerce.
- Power BI Adoption: Power BI is widely used by Fortune 500 companies and small businesses alike for data visualization and reporting.
- Required Skills for Success: Employers seek candidates with expertise in Power BI, SQL, data modeling, DAX, and dashboard design.
- Career Opportunities: This certification helps learners qualify for roles such as Data Analyst, Business Intelligence (BI) Analyst, Reporting Specialist, and Power BI Developer.
- Pathway to Advanced Roles: Power BI expertise serves as a stepping stone to advanced roles in data science, machine learning, and AI-driven analytics.
- Remote Work Potential: Many companies offer remote and freelance opportunities for data analysts skilled in Power BI.
- Business Value of Power BI: Organizations use Power BI to increase efficiency, automate reporting, and gain a competitive edge through actionable insights.
- Long-Term Career Security: As companies continue investing in big data, cloud computing, and artificial intelligence, the demand for skilled data analysts is expected to grow significantly.
Specification: Microsoft Power BI Data Analyst Professional Certificate
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