Business Analytics

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 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 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.

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

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

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

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

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 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

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. 

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

Let's dive into historical oil drilling output globally and see how production has trended over time

Learn necessary elements to resolve granularities mismatches in different ways

In this sessions we will start from what you need to know about Azure AD in relation to Azure data services.

Discovering unique and valuable insights and solve advanced analytical questions using Power BI

The different admin roles related to Power BI

Streamline business processes through automation with no code

Extracting Records has always been an important task for Excel users. In this session, you will learn how this task evolved

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.

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

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

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

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

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.