Business Analytics

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 path will provide you in-depth knowledge of the full range of Power BI best practices, with particular emphasis on building data models specifically optimized for Power BI.

This Learning Path delves into data analysis techniques, focusing on Power BI functions. It guides learners to enhance their data insight extraction skills.

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 help you build expert level skills in the implementation, monitoring and governance of Power BI, including making optimal use of the Service through dataflows, datasets, thin reports, etc.

This path is focused on developing expert level skills in data cleaning, data transformation and data modeling. You will learn to maximize the capabilities of the Power Query UI, and also write M code.

This Learning Path delves into Power BI development, focusing on creating effective reports and visualizations. It covers parameter management, using PowerPoint and more!

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.

Master the ultimate tool for executing and analyzing DAX queries against various sources including Power BI and SSAS

Learn all about DAX calculations in Power BI. Learn introductory theory as well as how to put it into practice when developing Power BI models. 

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

Become a better data storyteller by learning techniques to create reports that inspire and have an impact.

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

Learn how to predict and optimize for results in the future, by utilizing 'what if' parameters and scenario analysis techniques

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

Create advanced analytical models by learning how to harness the power of DAX calculations for use within Power BI

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

What should you consider when putting your carefully-researched data together for an audience? Get the tips for using the right tools for each job.

Create reusable, templatized offset measures to further simplify and speed DAX analyses

Learn how to use the Dataverse, Power Apps, Power Automate in Power BI

Power BI Freestyle Session w/ Sam McKay

Discover sample DAX techniques that enhance business insights and explore DAX formulas to leverage conditional formatting options

Perform dynamic analysis of data through context transition in DAX

Use the data documenter tool to create an effective report template 

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.

Analyze data from marketing campaigns and initiatives, using visualization tools and statistical analysis techniques to identify trends and patterns, and use these insights to inform marketing strategy and decision-making.

Provide a business solution by creating an intelligence tool to use by large opticians

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

Analyze the data of a large insurance company who are due to undergo an internal audit with regard to its complaint’s procedure

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.

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