Data Transformation

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 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 delves into Power BI development, focusing on creating effective reports and visualizations. It covers parameter management, using PowerPoint and more!

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

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.

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

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

Acquire an extensive knowledge and understanding of the Power Query and M language to help you easily transform your data from multiple sources into Power BI

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

Get familiar with structured values in the M language and discover how to interact with them.

Discover how to utilize ChatGPT within Power BI for enhanced data analysis, reporting, and interactive dashboards. Learn how to integrate ChatGPT into Power BI to create dynamic and conversational visualizations.

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

Know the techniques in creating indexes and how to loop efficiently using DAX

Know how to get DAX Query data from Power BI Desktop without having to write it yourself

Why No-Code and Standardized Visualizations are the Future in Data Analytics and Visualizations

Explore the incredible impact of Artificial Intelligence (AI) on the field of data professionals.

Learning how to use SELECT, FROM, WHERE, GROUP BY, HAVING, ORDER BY

How to create your own custom quick measures - create once, and apply them in every future report you do

Create basic pipelines for data cleaning, visualization and modeling in R

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

Produce insights for management level that can highlight any issues and prepare them for the audit

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

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

Challenge your data skills by producing a report that gives the user the ability to select a currency and see the associated sales and cost

Challenge your data skills in creating an analysis report on substance

Create an analysis report on environmental data and potentially impact how this data is visualized and recorded

Analyze the data of a large insurance company who are due to undergo an internal audit with regard to its complaint’s procedure

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

This offers techniques to retrieve and manipulate data based on specific row indexes or key matches, enhancing the flexibility and precision of data analysis.

When programming in Python, having a reliable cheat sheet by your side can be a game-changer. Python may be known for its simplicity and readability, but there’s no denying that its extensive range of features and functionalities is too much to memorize!

This SQL cheat sheet gives you the most common SQL objects and commands, including data types, DML and DDL statements, aggregate functions, string and date functions, and subqueries.