Business Analytics

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 analysis techniques, focusing on Power BI functions. It guides learners to enhance their data insight extraction skills.

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 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 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 data manipulation and analysis using SQL and DAX. It covers techniques and practical code examples.

This path is designed to help you become an expert in data visualization, data storytelling, and report design. You will learn how to create advanced custom visualizations using bespoke visualization languages.

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

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

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

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

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

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

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

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

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

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.

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. 

In this session, you will learn how to manage Banking Transactions Directly Through Your Excel-VBA model

Perform dynamic analysis of data through context transition in DAX

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

Power BI Freestyle Session w/ Sam McKay

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

Enhance your development skills by creating a supplier insights report

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 

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.

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

Showcase a report that compares the trends of two different sets of data over time. The report will specifically highlight any divergences in the trends, allowing the reader to easily see any discrepancies in the data.