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

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 Power BI development, focusing on creating effective reports and visualizations. It covers parameter management, using PowerPoint and more!

This path will provide you in-depth knowledge of the full range of Power BI best practices, with particular emphasis on building data models specifically optimized for Power BI.

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

This path is designed to provide you the necessary skills to build full enterprise apps by integrating Power BI , Power Automate and Power Apps. 

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

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

Unlock the power of data analysis and visualization with PandasAI, and transform raw data into actionable insights that drive decision-making and growth.

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

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

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

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

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

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

Power BI Freestyle Session w/ Sam McKay

It  provides visibility to a wide range of insights to the performance of a typical call centre operation.

Implement selected design techniques and chat formatting options to enhance overall user experience (UX)

Combining the power of the data model with high level analysis

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

Supply chain management involves the flow of goods and services.

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

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.

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

Enhance your development skills by creating a supplier insights report

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

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

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.

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.