Business Analytics

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 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 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.

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 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 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

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

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

Build a strong foundation on your MS Excel skills as you progress to advanced level

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

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. 

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.

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 necessary elements to resolve granularities mismatches in different ways

Review discrete events with scenario applied

Discover how to visualize, debug, validate and solve complex DAX problems using Excel

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

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

Learn the steps on how to collaboratively design a star schema with your business users and ensure that the schema meets the needs of the organization

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

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.

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. 

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.

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

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