Data Modeling

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

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

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

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

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

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

Learn how to clean, optimize and model data tables to develop effective, insightful and actionable Power BI reports

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

Expert walk-through of week #2 solution with Sam McKay and Brian Julius

Know the importance of data modelling and relationships between tables

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

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

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

Explore possibilities for supercharging Power BI with R’s modeling and visualization capabilities.

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

Challenge your data skills in creating an analysis report on substance

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.

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

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

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