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

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 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 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 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.

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

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

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

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

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.

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

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

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

Develop advanced Power BI analytical techniques

View Replays of the August 2022 Business Intelligence Summit Event for Analysts, Excel Users, Database Professionals, Data Enthusiasts and more...

Learn the 10 different elements in building a data-oriented career

Check the Replays of the Feb 2022 Analytics Summit Event for Analysts, Excel Users, Database Professionals, Data Enthusiasts and more.

Use DAX ranking techniques in your analysis

Review a number of techniques specifically around developing high quality reporting solutions in Power BI.

Implement selected design techniques and chat formatting options to enhance overall user experience (UX)

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.

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.

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 

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