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 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 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 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 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 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.

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

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

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 transfer your knowledge of SQL to DAX and vice versa

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

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

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

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. 

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 many techniques for effective reporting around marketing & advertising campaigns effectiveness within Power BI.

Inventory insights deep dive

Create reusable, templatized offset measures to further simplify and speed DAX analyses

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

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

Review discrete events with scenario applied

Enhance your development skills by creating a supplier insights report

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

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

Use the data documenter tool to create an effective report template 

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.

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.

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.

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.