Business Analytics

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

This path is the most in-depth and rigorous on the list, designed to provide you expert-level skills in all of the key pillars of Power BI. 

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.

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

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.

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

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

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. 

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

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

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

Use DAX ranking techniques in your analysis

Learn simple yet effective techniques which can be used by anyone in your organization to discover valuable insights from their data sets

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

Supply chain management involves the flow of goods and services.

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

Boost your productivity and performance by mastering Microsoft’s latest technology updates

Incorporate multiple variables within function using List.Generate

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

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

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

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

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

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.