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

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 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.

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 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 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.

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

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

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

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

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

Advanced course using Power BI & DAX to solve complex but common business problems and scenarios you'll face everyday

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

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

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

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

The session include function Let and how to declare and using parameters in Power Query and DAX

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

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

Extracting Records has always been an important task for Excel users. In this session, you will learn how this task evolved

Learn the core areas of the winning entry around the 4 pillars of Power BI report development

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

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

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.

Use the data documenter tool to create an effective report template