Business Analytics

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

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 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 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 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 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 and modeling, focusing on Filter and Row Contexts for data computations, and the use of functions like SUM, SUMX, and Calculate.

Disclose the unexpected' by expertly incorporating geospatial data into your analyses and visualizations

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

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

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

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

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

Learn how to transfer your knowledge of SQL to DAX and vice versa

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

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

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

Showcase how to implement an SCD Type 2 using Power Query to allow a full historical analysis of a specific dimension

Check the Replays of the Feb 2022 Analytics Summit Event for Analysts, Excel Users, Database Professionals, Data Enthusiasts and more.

Learn how to use the Dataverse, Power Apps, Power Automate in Power BI

View Replays of the August 2022 Business Intelligence Summit Event for Analysts, Excel Users, Database Professionals, Data Enthusiasts and more...

We will focus on the CRM Sales data and gain insights into the future revenue derived from a specific client set.

Enhance your development skills by creating a supplier insights report

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.

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.

Use the data documenter tool to create an effective report template 

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

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

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.