Data Modeling

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

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 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 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 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 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. 

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

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.

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

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

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

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

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

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

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

Stop wasting your valuable time in building or deciphering confusing visualizations and increase your insight

Produce amazing insights including running custom scenarios on your raw data

Discover advanced data modeling and DAX techniques to speed up DAX query execution

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

Challenge your data skills in creating an analysis report on substance

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

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.