Data Modeling

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

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.

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.

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

Build a solid foundation in using Power BI.

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

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

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

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

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

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

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

Learn the whole process from getting data, creating a data model with a date table, measure table and calculation groups

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

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

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

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

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

Challenge your data skills in creating an analysis report on substance

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

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

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

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

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

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