Business Analytics

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 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 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 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 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.

This path is designed to build the broad range of expert-level knowledge necessary to confidently pass the PL-300 Data Analyst certification exam (replacement for DA-100).

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

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

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. 

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

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

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

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

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

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

Create effective project management dashboards

Use Power Query/ M effectively to prepare data for analysis

Real-life practical application of Power Apps to drive cost & time savings by enabling the operations team more proactive in handling the problems

Perform dynamic analysis of data through context transition in DAX

Enterprise DNA Analytics Summit are action packed live events showcasing a variety of beginner to advanced Power BI & Power Platform tips and techniques. 

Focus on financial reporting techniques in Power BI. We will be building a PnL statement from scratch, utilizing all the key features of Power BI.

Learn the 10 different elements in building a data-oriented career

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.

Enhance your development skills by creating a supplier insights report

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

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

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. 

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