Data Modeling

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 learning path offers a deep dive into data management and analysis, emphasizing the hands-on use of Python and Scala languages for manipulating CSV and JSON files, and the application of SQL for data querying. 

This Learning Path offers a comprehensive journey through advanced data analysis and modeling techniques all illustrated through practical scenarios.

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 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 navigates learners through real-world scenarios to cultivate problem-solving skills using the M language in Power Query.

This path is designed to help you build expert level skills in the implementation, monitoring and governance of Power BI, including making optimal use of the Service through dataflows, datasets, thin reports, etc.

This Learning Path offers a comprehensive journey through data visualization and analysis techniques, with a special emphasis on Power BI.

The first of the two-part preparation course for the Microsoft's DP-500 Exam Certification

Expand your Power BI report by integrating it with Power Platform applications to incorporate capabilities above and beyond just reporting on insights.

Deepen your understanding of the Power Query/M concepts through practical application

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

The second part of the preparation course for the Microsoft's DP-500 Exam Certification

Build a solid foundation in using Power BI.

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.

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

Discover specific cleaning and modeling techniques to ensure data accuracy and reliability

Discover the foundations of Data Modelling in Power BI and Power Query

Using in-built standard Excel tools, we will explore how to reduce uncertainty in decision-making with sensitivity and scenario analysis

Discover the key points around OEE and producing a technically sound report

Join a casual conversation with eDNA Expert team. They will review the technical aspects of the COVID dashboard.

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

We'll be reviewing a number of techniques specifically around reporting dashboards in Power BI.

In just a few short years, Power BI has come from nowhere to become the business intelligence software of choice. This brief overview addresses the way forward for financial modeling. 

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

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

Challenge your data skills in creating an analysis report on substance

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

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

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