Business Analytics

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

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

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 data analysis and modeling, focusing on Filter and Row Contexts for data computations, and the use of functions like SUM, SUMX, and Calculate.

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

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

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

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

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

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

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

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

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

Streamline business processes through automation with no code

Create effective project management dashboards

Perform dynamic analysis of data through context transition in DAX

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

Use DAX ranking techniques in your analysis

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.

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

Create a summary report, a task that for many data analysts will always find its way across the desk every so often

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

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

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

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.