Business Analytics

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

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 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 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 data analysis and modeling, focusing on Filter and Row Contexts for data computations, and the use of functions like SUM, SUMX, and Calculate.

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 build the broad range of expert-level knowledge necessary to confidently pass the PL-300 Data Analyst certification exam (replacement for DA-100).

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

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

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

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

Learn all about DAX calculations in Power BI. Learn introductory theory as well as how to put it into practice when developing Power BI models. 

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

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

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

Inventory insights deep dive

Learn how usability testing can reveal crucial usability information not revealed by A/B testing, focus groups, or surveys

Challenge Submission Review

Develop advanced Power BI analytical techniques

Learn how to swap or rotate fields around in a visual and how to implement complex slicer interactions using field parameters

Create effective project management dashboards

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

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

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.

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

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

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

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.