Business Analytics

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

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

This Learning Path delves into data manipulation and analysis using SQL and DAX. It covers techniques and practical code examples.

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

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

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

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

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

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

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

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

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

Learn a range of advanced techniques in Power BI using DAX

Let's dive into historical oil drilling output globally and see how production has trended over time

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

Challenge Submission Review

Review discrete events with scenario applied

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 opportunity to design and build a report that gives insights into customer behavior

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.

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

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.

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

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

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