Data Modeling

Gain hands-on skills essential for conquering the DP-500 exam and advancing in your data career!

Master the art of building enterprise apps by seamlessly integrating Power BI, Power Automate, and Power Apps.

Craft interactive experiences with SharePoint and Power Apps, mastering Power Automate for efficient task automation and engaging user interfaces.

Take your data analysis to the next level with Python and ChatGPT. Seamlessly integrate AI for efficient workflows and game-changing insights.

Gain a versatile skill set covering a wide range of data analysis techniques and tools, preparing you for diverse roles in the dynamic field of data analytics!

Gain comprehensive knowledge in key features including data transformation, modeling, DAX calculations, and visualization. Build analytical solutions surpassing traditional reporting!

Explore Power BI's advanced analytics features, integrating R and Python to unlock actionable insights and elevate your data expertise to expert levels.

Dive deep into machine learning with Python, mastering predictive analytics and advanced data manipulations to excel in complex analytical tasks.

Deepen your Power Query/M understanding through hands-on practice. Master practical applications and excel in data transformation!

Advance with the second part of our DP-500 Exam prep course, tailored for mastering Microsoft's certification. Seal your expertise and get certified!

Kickstart your journey to Microsoft's DP-500 Exam Certification with our comprehensive two-part preparation course. Get the edge you need to succeed!

Kickstart your journey with our specialized training! Turn raw data into stunning visuals and master Power BI essentials through interactive lessons. Begin your path to data expertise!

An in depth overview of the entire Power BI suite, with a focus on using Power BI to extract compelling insights from your own data.

Dive into data with Python! Transform raw data into actionable insights, mastering data preparation, wrangling, and modeling. Start your data science journey today.

Transform your proficiency with our exclusive neural network course! Uncover the intricacies of deep learning and position yourself as a pioneer in the realm of AI evolution!

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

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

Produce amazing insights including running custom scenarios on your raw data

Review the best reports we've seen from historic Enterprise DNA Challenges

Problem of the Week gives you real-world DAX and Power Query scenarios that will challenge your analytical skills.

In this session, Ken will show you how he can build a complex Excel BI model leveraging Power Query and Power Pivot very quickly. 

Know the importance of data modelling and relationships between tables

Learn how to add images to your maps, draw lines and create choropleth maps

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

Implement your analytical skills in creating a report of the entire business operation from production to forecasting.

Challenge your data skills in creating an analysis report on substance

Analyze Enterprise DNA's Youtube Channel Data to understand its audience and create a strategy to drive more channel engagement.

Work on one of the most significant measures for manufacturing productivity - OEE

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

Take on the challenge of creating an analysis report on hotels revenue management data.

Create a report summary of the overall services provided by a Call Centre for its management

This is focused on one of the key functionalities of Power Query M – the 'Group By' or 'Table Group' operation.

Creating dynamic start and end dates in Power Query allows for versatile date tables that automatically adjust according to the data's time frame, enhancing data analysis efficiency and accuracy.