Business Analytics

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

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

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.

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

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

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

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

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

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

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

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

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

Supply chain management involves the flow of goods and services.

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

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. 

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

Learn necessary elements to resolve granularities mismatches in different ways

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

Learn many techniques for effective reporting around marketing & advertising campaigns effectiveness within Power BI.

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.

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

Enhance your development skills by creating a supplier insights report

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.

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

Use the data documenter tool to create an effective report template 

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