Explore the fundamentals of relational databases and SQL while gaining proficiency in querying and data manipulation.
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.