This course provides in-depth knowledge of analytical techniques and effective data visualization using Power BI. Learners will begin with statistical analysis fundamentals, mastering correlation, exploratory data analysis, and understanding business problems. As the course progresses, participants will delve into advanced topics like cluster analysis, cohort analysis, and geospatial data visualization. Additionally, learners will explore business intelligence concepts, including building time intelligence functions, conducting time series analysis, and leveraging AI-driven tools like key influencers and decomposition trees. With a strong emphasis on practical application, the course culminates in a hands-on final project, allowing learners to synthesize their skills in a real-world scenario, making data-driven decision-making clear and impactful.
This program is for anyone interested in data analytics and visualization; there are no prerequisites. To get the most out of the learning experience, it is recommended to follow the courses in sequence, as each one builds on the skills and knowledge gained in the previous ones. Before starting this course, you should be proficient in building data models, maintaining relationships in Power BI, and writing DAX expressions to enhance analysis. You should also understand the ethical implications of handling data. This knowledge will be essential as you learn advanced data analysis techniques and explore data through Power BI's visualizations, supported by AI-driven insights.
Overview
Syllabus
- Statistical analysis fundamentals
- This module introduces the foundational concepts of statistical analysis in Power BI. Learners will explore the importance of understanding business problems and how to conduct correlation and exploratory data analyses. The module covers key techniques like grouping, binning data, and using Power BI visualizations to derive insights. By the end, participants will have a solid grasp of basic statistical methods and their applications in business contexts.
- Business intelligence through statistical analysis
- This module focuses on leveraging statistical analysis for business intelligence, with an emphasis on time intelligence functions, time series analysis, and AI-driven insights. Learners will explore how to use DAX for summarization and comparison over time, as well as how to apply key influencers and decomposition trees to identify root causes in business scenarios. The module equips learners with advanced tools to analyze and forecast business data effectively.
Taught by
Microsoft
