Business Analytics

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 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 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 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 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 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 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.

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

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

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

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

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

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

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

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 the steps on how to collaboratively design a star schema with your business users and ensure that the schema meets the needs of the organization

Use Power Query/ M effectively to prepare data for analysis

Inventory insights deep dive

What should you consider when putting your carefully-researched data together for an audience? Get the tips for using the right tools for each job.

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

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

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

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

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.

Provide a business solution by creating an intelligence tool to use by large opticians

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.