Overview

This course provides in-depth knowledge of analytical techniques and effective data visualization using Power BI. You will begin with statistical analysis fundamentals, master correlation, and exploratory data analysis, and understand business problems. As the course progresses, you will explore advanced topics like cluster analysis, cohort analysis, and geospatial data visualization. Additionally, you will learn about 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 you to synthesize your 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.

Syllabus

Statistical analysis fundamentals

This module introduces the foundational concepts of statistical analysis in Power BI. You 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, you will have a solid grasp of basic statistical methods and their applications in business contexts.

Advanced statistical analysis

In this module, you will explore advanced statistical techniques, including cluster, cohort, and geospatial analyses. The focus is on applying these methods in Power BI to uncover patterns, trends, and outliers within data. You will also explore the creation and optimization of complex visualizations, such as scatter charts and maps, enhancing your ability to conduct detailed and insightful analyses for informed decision-making.

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. You 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 you with advanced tools to analyze and forecast business data effectively.

Final project and assessment: Visualization for Data Analysis with Power BI

The final course project synthesizes the skills and knowledge acquired throughout the course. You will apply your expertise to a real-world business scenario, using Power BI to conduct an opportunity analysis. This hands-on project challenges you to demonstrate your ability to integrate various analytical techniques and create impactful data visualizations that drive business insights and decision-making. The module also includes reflection on the course content and guidance on next steps for further learning.