Business Analytics

This path is the most in-depth and rigorous on the list, designed to provide you expert-level skills in all of the key pillars of Power BI. 

This path is similar to the Data Analyst learning path above, but is geared to building a strong and broad foundation of data analysis skills, as compared to being more specifically focused on passing the PL 300 exam.

This path is designed to help you harness the full power of Power BI in combination with R and Python. You will learn how to conduct advanced analyses and gain insight into complex business questions.

This path is designed to help you become an expert in data visualization, data storytelling, and report design. You will learn how to create advanced custom visualizations using bespoke visualization languages.

This Learning Path delves into data manipulation and analysis using SQL and DAX. It covers techniques and practical code examples.

This path is designed to provide you the necessary skills to build full enterprise apps by integrating Power BI , Power Automate and Power Apps. 

This Learning Path provides a deep dive into Power BI and DAX, focusing on data analysis techniques and visualization. It equips learners with skills to craft dynamic visualizations.

This Learning Path delves into data analysis and modeling, focusing on Filter and Row Contexts for data computations, and the use of functions like SUM, SUMX, and Calculate.

Disclose the unexpected' by expertly incorporating geospatial data into your analyses and visualizations

Advanced course using Power BI & DAX to solve complex but common business problems and scenarios you'll face everyday

A detailed step-by-step process of creating high-quality Power BI reports that satisfy the requirements of real-world scenarios

Create comprehensive financial reports in Power BI that represent key insights in a compelling and dynamic way

Implement advanced & practical analytical techniques inside of Power BI and find insights you never thought possible in an intuitive way

Review some of the best practices to refine your Power BI development skills

Learn how to develop complete Power BI solutions that look compelling and deeply engage your consumers in your insights

Learn how to transfer your knowledge of SQL to DAX and vice versa

Sam McKay talks to Paul Lucassen, one of our Enterprise DNA experts, about the role of geospatial data analytics in the transportation and logistics industry

Boost your productivity and performance by mastering Microsoft’s latest technology updates

Showcase how to implement an SCD Type 2 using Power Query to allow a full historical analysis of a specific dimension

View Replays of the August 2022 Business Intelligence Summit Event for Analysts, Excel Users, Database Professionals, Data Enthusiasts and more...

In this sessions we will start from what you need to know about Azure AD in relation to Azure data services.

Use Power Query/ M effectively to prepare data for analysis

Learn how simple resources can generate amazing results in the charts, applicable to any analysis.

Identify trends and patterns in a variety of factors that influence the cost of living in different regions around the world by using statistical analysis techniques and visualization tools.

Challenge yourself to produce a report which gives HR insight into the consultation process. 

An opportunity to design and build a report that gives insights into customer behavior

Practice your data skills and learn from what is a typical scenario faced by many businesses in various industries

Create a summary report, a task that for many data analysts will always find its way across the desk every so often

Show off your impressive financial report! We are confident that your financial report is a testament to your skills and expertise. We would love to see how you've structured it and how you've made it visually appealing.

Enhance your development skills by creating a supplier insights report

Showcase a report that compares the trends of two different sets of data over time. The report will specifically highlight any divergences in the trends, allowing the reader to easily see any discrepancies in the data.