Data Transformation

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 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 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 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 delves into data analysis techniques, focusing on Power BI functions. It guides learners to enhance their data insight extraction skills.

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

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

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. 

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

Unlock the power of data analysis and visualization with PandasAI, and transform raw data into actionable insights that drive decision-making and growth.

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

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

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.

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.

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

Data Transformation with AI is an immersive course that delves into the world of Data Science and Artificial Intelligence. You'll gain essential knowledge and skills to harness the power of data and build intelligent systems. Topics include data analysis, machine learning, deep learning, and ethical AI considerations, making this course suitable for beginners and those seeking to advance their expertise.

This session will cover which Python and R packages and examples can facilitate functionalities found in Power BI

Enterprise DNA Analytics Summit are action packed live events showcasing a variety of beginner to advanced Power BI & Power Platform tips and techniques. 

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

Sneak Peak Into Upcoming Versions of HTML Custom Visuals with Pascal Kiefer

Critical thinking to improve problem solving and decision making

Understand the overview of the new DAX functions – OFFSET, INDEX, WINDOW, EVALUATEANDLOG, TOJSON and TOCSV

Learn the best practices for transforming data in the query editor

Using visual layering and transparency masks to improve data storytelling Advanced tricks for conditional formatting icons

Challenge your data skills in creating an analysis report on substance

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

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

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

Deep dive into the world of F1 and create an analysis of the drivers' stats

Provide a business solution by creating an intelligence tool to use by large opticians

Challenge your data skills by creating a report on transport and shipping data 

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

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.

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!