Data Transformation

Explore into built-in connectors, mastering basic flows to advanced error handling for seamless workflow efficiency.

Gain a thorough understanding of SQL fundamentals for seamless data manipulation and querying, setting the foundation for advanced database management.

Dive deep into machine learning with Python, mastering predictive analytics and advanced data manipulations to excel in complex analytical tasks.

An in-depth path for mastering Power Apps for efficient task automation and engaging user interfaces.

Take your data analysis to the next level with Python. Seamlessly integrate Python and AI for efficient workflows and game-changing insights.

Master the art of creating visually appealing and insightful dashboards and reports using Power BI, leveraging its wide range of visualization options and features.

Master the skills needed to ace the PL-300 certification exam, blending foundational Power BI knowledge with advanced DAX techniques.

Gain a versatile skill set covering a wide range of data analysis techniques and tools, preparing you for diverse roles in the dynamic field of data analytics!

Master predictive analytics in Power BI: Learn preprocessing to advanced AutoML. Unlock powerful machine learning models and transform your data.

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

Uncover Microsoft Fabric's power! Secure OneLake data, optimize with Apache Spark, and master lakehouse vs. warehouse structures. Elevate your data game today!

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!

Unlock data insights with ADA. Elevate your analysis skills using ChatGPT's advanced algorithms and transform your data interpretation.

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

Discover the power of Microsoft Fabric and shape your future in data. Learn essential data engineering and analytics, and craft cutting-edge solutions with OneLake and Delta Lake.

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

A real-time Q&A segment, and live demonstrations based on participant queries.

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

Find out how Sidekick can help to review, optimize & cleanup your dataset and reports

Learn how to use other data sources to filter and/or colorize individual objects of a 3D model in Power BI

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

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

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

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

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

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

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

Take a deep dive into the world of utilisation and timesheet data

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

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

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!

Our quickstart guide on Python in Colab offers a comprehensive overview for efficient data analysis and visualization using Google's cloud-based Jupyter notebook environment.

This detailed guide by Enterprise DNA provides a comprehensive overview of the core concepts and functionalities of Power Query and the M language. The guide covers 21 key topics, starting with an introduction to Power Query and its integration with Power BI and Excel.

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.