Business Analytics

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 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 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 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 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).

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.

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

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

Unlock the power of data analysis and visualization with PandasAI, and transform raw data into actionable insights that drive decision-making and growth.

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

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

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

An overview on Azure ML and how to incorporate it with Power BI

An incredible development technique and concept on creating dynamic Power BI reports.

Learn advanced scenario analysis techniques and enhance your related distinct counts

Review a number of techniques specifically around developing high quality reporting solutions in Power BI.

Supply chain management involves the flow of goods and services.

Learn how to combine queries to protect the fact tables in the tabular model

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 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

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

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.

Use the data documenter tool to create an effective report template 

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