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 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.

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 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 manipulation and analysis using SQL and DAX. It covers techniques and practical code examples.

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 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 techniques, focusing on Power BI functions. It guides learners to enhance their data insight extraction skills.

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

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

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

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

Learn how to predict and optimize for results in the future, by utilizing 'what if' parameters and scenario analysis techniques

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

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

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

Challenge Submission Review

Supply chain management involves the flow of goods and services.

Learn how to combine queries to protect the fact tables in the tabular model

Develop advanced Power BI analytical techniques

Perform dynamic analysis of data through context transition in DAX

Inventory insights deep dive

Learn how these many functions can be applied to your own data sets, to enable you to extract the insights you require very fast

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

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

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

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

Use the data documenter tool to create an effective report template 

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.

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