Business Analytics

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

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

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

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

Learn the basics of SharePoint to increase productivity and collaboration, organize your data, and automate business processes

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

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. 

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

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

Build a strong foundation on your MS Excel skills as you progress to advanced level

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

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

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

Learn necessary elements to resolve granularities mismatches in different ways

In just a few short years, Power BI has come from nowhere to become the business intelligence software of choice. This brief overview addresses the way forward for financial modeling. 

Learn simple yet effective techniques which can be used by anyone in your organization to discover valuable insights from their data sets

Learn how these many functions can be applied to your own data sets, to enable you to extract the insights you require very fast

Learn a range of advanced techniques in Power BI using DAX

Learn how to leverage the Power Platform to bring your Apps to the next level, based on the real business case

Implement some creative Row-Level-Security techniques effectively and learn how to dynamically anonymize data

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

Use the data documenter tool to create an effective report template 

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

Enhance your development skills by creating a supplier insights report

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

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.

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.