Data Transformation

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.

In the modern era of data, the AI-driven approach is rapidly redefining how data science operates. Our learning path, "AI-Driven Data Science: Exploring PandasAI and ChatGPT", is crafted to immerse learners into the realms of PandasAI and ChatGPT. The path focuses on harnessing the potential of these AI tools, enabling learners to analyze, visualize, and interpret data with enhanced proficiency. From the foundational principles of data analysis with PandasAI to the expansive capabilities of ChatGPT in data science, this path offers a comprehensive journey into the world of AI-powered data analytics.

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

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 delves into data analysis and modeling, focusing on Filter and Row Contexts for data computations, and the use of functions like SUM, SUMX, and Calculate.

This comprehensive journey introduces you to the transformative capabilities of ChatGPT, seamlessly integrating it with the robust features of Power BI. Discover how artificial intelligence can revolutionize your data workflows, enhance dashboard quality, and provide unparalleled insights. Whether you're a data enthusiast, a Power BI user, or a developer, this path offers a vantage point into the future of AI-driven data analytics.

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 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. 

PySpark made easy! Learn Pandas and Polars to navigate any dataset, uncover valuable insights, and become a data analysis powerhouse.

Kickstart your journey to Microsoft's DP-500 Exam Certification with our comprehensive two-part preparation course. Get the edge you need to succeed!

Unlock the full potential of Power BI by mastering API integration to access a broader range of data. Enhance your analytics with our focused training!

Dive deep into Data Analytics! Gain a profound understanding of the practicality and significance of data-driven insights in today's decision-making landscape

Master structured values in the M language and unlock new ways to interact with data. Dive deep and elevate your data manipulation skills!

Advance your analytics capabilities: Transition from basic spreadsheets to Python and explore powerful data analysis techniques with our expert-led course.

Deepen your Power Query/M understanding through hands-on practice. Master practical applications and excel in data transformation!

Dive into data mastery with our comprehensive Pandas course. Learn to manipulate and analyze data effectively, unlocking powerful insights that drive success.

Scale up your customer service management to drive transformation of data into compelling reports with Power BI

How to build the ultimate Stream Deck profile - perform an array of common Power BI tasks at the push of a button

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

Use PDF conversion tools to disassemble and assemble tables within PDF documents

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

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

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

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

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

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

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

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

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

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

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

Challenge your data skills in creating an analysis report on substance

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

 This resource illustrates how users can manipulate data structures at a granular level, offering insights into how tables can be deconstructed for detailed analysis or data-cleaning purposes. 

This resource provides comprehensive instructions on how to build and manipulate record data structures in Power Query M.

A comprehensive resource that demonstrates how to seamlessly merge tables from multiple files located within a single folder.

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.

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!

In this guide, we will address a common issue when performing an Expand Column operation in Power Query. 

A the comprehensive reference guide that presents a variety of techniques and functions for creating and manipulating tables in Power Query/M