Data Analytics with Power BI

Upon successful completion of all course requirements, learners will 

• Apply fundamental principles of relational databases, utilizing SQL to retrieve and manipulate data effectively.
• Optimize database performance through advanced SQL techniques, including creating indexes for efficient query processing.
• Implement key constraints for data integrity and design triggers to automate actions, ensuring a robust and secure relational database management system.
• Create database views for simplified data access and to enhance overall database management.
• Utilize statistical measures of variability to analyze data.
• Navigate the Power BI Desktop interface proficiently, connecting and shaping data for meaningful analysis.
• Explore data visualization using Power BI, creating visually compelling and informative reports to convey insights effectively.
• Write Data Analysis Expressions (DAX) for calculated columns and measures and demonstrate proficiency in advanced data analysis techniques.
• Apply a systematic approach to various types of data analysis, utilizing appropriate tools and techniques to extract meaningful insights from diverse datasets.
• Develop the ability to conceptualize data analysis as a continuous and iterative process, recognizing the importance of refining strategies based on ongoing insights and feedback.