Business Analytics

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 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 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 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 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 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 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.

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. 

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

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

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

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

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

A detailed step-by-step process of creating high-quality Power BI reports that satisfy the requirements of real-world scenarios

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 advanced scenario analysis techniques and enhance your related distinct counts

Learn how to combine queries to protect the fact tables in the tabular model

Develop advanced Power BI analytical techniques

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

Implement selected design techniques and chat formatting options to enhance overall user experience (UX)

Learn how simple resources can generate amazing results in the charts, applicable to any analysis.

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.

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 

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.

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.

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