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 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 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 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 will provide you in-depth knowledge of the full range of Power BI best practices, with particular emphasis on building data models specifically optimized for Power BI.

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 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 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.

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

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 the basics of SharePoint to increase productivity and collaboration, organize your data, and automate business processes

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

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

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

Disclose the unexpected' by expertly incorporating geospatial data into your analyses and visualizations

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 the 10 different elements in building a data-oriented career

Analyze product sales for upsell opportunities

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

In just a few short years, Power BI has come from nowhere to become the business intelligence software of choice. This brief overview addresses the way forward for financial modeling. 

Discover sample DAX techniques that enhance business insights and explore DAX formulas to leverage conditional formatting options

An overview on Azure ML and how to incorporate it with Power BI

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

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

Use the data documenter tool to create an effective report template 

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.

Provide a business solution by creating an intelligence tool to use by large opticians

Enhance your development skills by creating a supplier insights report

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

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