Business Analytics

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 provide you the necessary skills to build full enterprise apps by integrating Power BI , Power Automate and Power Apps. 

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 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 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 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 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 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.

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

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

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

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

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

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

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

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

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

In this sessions we will start from what you need to know about Azure AD in relation to Azure data services.

Develop advanced Power BI analytical techniques

Discover how to visualize, debug, validate and solve complex DAX problems using Excel

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

Inventory insights deep dive

Learn what sells well together and analyze product sales for upsell opportunities and

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

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.

Practice your data skills and learn from what is a typical scenario faced by many businesses in various industries

Identify trends and patterns in a variety of factors that influence the cost of living in different regions around the world by using statistical analysis techniques and visualization tools.

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

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

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.

Enhance your development skills by creating a supplier insights report