Data Transformation

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

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

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

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!

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

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

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

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

Advance your data strategy with Microsoft Fabric and Azure. Discover how to optimize workspaces, develop effective pipelines, and manage data flows for enhanced security and governance.

Unlock the full potential of Google Colab for your data science and machine learning projects. Learn how to write, run, and share Python code effortlessly in this cloud-based environment, mastering the tools and features that make Colab a go-to resource for data professionals.

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!

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

Master the fundamentals of SQL and take your data analysis skills to the next level. Learn how to efficiently query and manipulate data, transforming raw information into valuable insights through hands-on exercises and real-world scenarios.

*NEW* Explore comprehensive Power BI desktop development techniques. From managing data sources, advanced visualization and sharing reports.

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

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

Is Copilot finally finding its stride? With new AI innovations on the horizon, the way we work might be about to change—again. Are we prepared for what’s coming, or just getting comfortable with the current wave? The future isn’t slowing down.

Model Context Protocol (MCP) is transforming how AI tools operate in real-world settings. By improving the way context is carried and recalled, MCP unlocks smarter automation and learning. As AI systems evolve, MCP will play a key role in how we bridge learning, memory, and adaptive functionality across tools and workflows.

Vibe coding, Model Context Protocol (MCP), and AI-powered tool use represent a transformative shift in how developers interact with technology. These innovations bridge the gap between learning and implementation, enhance productivity, and redefine how we work with AI—making development more intuitive, accessible, and dynamic.

Discover how AI Agents are accelerating software creation, reducing the need for traditional coding skills, and enabling seamless integration of data from multiple sources.

Master the steps to cleaner SQL, better data flow, and more consistent outputs.

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

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

Examine the effectiveness of OpenAI's o1 models in working with DAX (Data Analysis Expressions) and Power BI. Let's see how well these AI models can assist in writing DAX formulas and performing data analysis within Power BI.

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

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

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

Analyze OmniRetail’s 2024 customer satisfaction data to uncover what drives loyalty across regions, demographics, and support experiences.

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

Explore 2024 mobile phone sales data to uncover product trends, customer insights, and regional performance to support smarter business decisions.

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

In this challenge, participants are encouraged to uncover distinctive shopper segments and present innovative insights.

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.

Leverage Python's powerful libraries for advanced data manipulation and analysis!

Learn to handle vast datasets, perform complex data transformations, and optimize your big data analytics workflow efficiently!

Learn to harness ADA's powerful analytics to generate, manipulate, and visualize data effectively, making your data tasks more efficient and insightful!

Balance creativity with efficiency by using AI to capture ideas, organize workflows, and automate repetitive tasks, enabling faster execution while preserving creative freedom.

Master the art of creating and optimizing SQL queries to enhance your data analysis capabilities.

Uncover the real practices for learning Python, focusing on foundational skills, consistent practice, and writing clean code for effective mastery.

Learn to refine, analyze, and visualize data efficiently, transforming your approach to data science and analytics!