Business Analytics

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

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

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.

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

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

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 transfer your knowledge of SQL to DAX and vice versa

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

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

Unlock the power of data analysis and visualization with PandasAI, and transform raw data into actionable insights that drive decision-making and growth.

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

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

Join a casual conversation with Sam and the Power BI Challenge Winner, Greg.

In this session, you will learn how to manage Banking Transactions Directly Through Your Excel-VBA model

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

Focus on financial reporting techniques in Power BI. We will be building a PnL statement from scratch, utilizing all the key features of Power BI.

Enterprise DNA Analytics Summit are action packed live events showcasing a variety of beginner to advanced Power BI & Power Platform tips and techniques. 

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. 

Review discrete events with scenario applied

Enhance your development skills by creating a supplier insights report

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 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 

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

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

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.

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