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 provides a deep dive into Power BI and DAX, focusing on data analysis techniques and visualization. It equips learners with skills to craft dynamic visualizations.

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 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 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 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.

A detailed step-by-step process of creating high-quality Power BI reports that satisfy the requirements of real-world scenarios

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

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

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

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.

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

Become a better data storyteller by learning techniques to create reports that inspire and have an impact.

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

Know the the importance on reading about data visualization theory and the benefits of Zebra BI visuals for Power BI reports

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

Learn advanced scenario analysis techniques and enhance your related distinct counts

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

Analyze product sales for upsell opportunities

Perform dynamic analysis of data through context transition in DAX

In this session, you will learn how to manage Banking Transactions Directly Through Your Excel-VBA model

Use the data documenter tool to create an effective report template 

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

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

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.

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

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