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

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

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

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. 

This module discusses the different features of the Analyst Hub platform and the tips to maximize the use of tools to enhance Power BI development.

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

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

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

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

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

In this session, Ken will show you how he can build a complex Excel BI model leveraging Power Query and Power Pivot very quickly. 

Learn necessary elements to resolve granularities mismatches in different ways

Real-life practical application of Power Apps to drive cost & time savings by enabling the operations team more proactive in handling the problems

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

Use DAX ranking techniques in your analysis

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

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 

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

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.

Enhance your development skills by creating a supplier insights report