Data Analysis

Master the most in-depth and rigorous path on Power BI, gaining expert-level skills across all key pillars of analysis.

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!

Enhance your skills in statistical analysis techniques, including hypothesis testing, regression analysis, and data visualization

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

Elevate your expertise in data management, analytics, and system integration. Start your transformative journey with our comprehensive courses!

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

Gain comprehensive knowledge in key features including data transformation, modeling, DAX calculations, and visualization. Build analytical solutions surpassing traditional reporting!

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

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

Amplify your Power BI visualizations with R's comprehensive statistical analysis and graphics language

Learn how to automate Excel tasks and streamline workflows with Microsoft Copilot and ChatGPT’s AI-driven tools.

Enhance your Power BI reports and analysis with R's visualization, text analysis and statistical modeling capabilities.

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

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.

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.

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

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.

Excel remains a critical part of tech workflows, even as AI, hardware, and virtual reality rapidly evolve. As AI presents new opportunities, it also introduces growing security concerns, while hardware limitations continue to impact progress. Meanwhile, VR is expanding into new sectors, shaping the future of digital interaction.

Explore the AI revolution's impact on data analysis with Sam in a thought-provoking episode of ‘The Analytic Mind’. Learn about its transformative effects.

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.

This conversation explores the transformative power of AI-driven tools in development, data analytics, and automation, highlighting how new technologies are reshaping workflows and unlocking new opportunities.

Discover how data analytics saves lives in healthcare with Sam McKay and Anuj Kapoor. Learn the importance of clear problem statements and quality data.

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.

We’re no longer asking if AI will change the world—it already has. The real question now? Who’s actually winning—and who’s quietly being left behind.

Analyze the data of a medical emergency response service and discover opportunities for improvement on their process

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

Jump into this twitter related dataset and showcase some interesting insights based on the text of the tweet and the stock reference or tagged within the tweet itself.

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

Create a navigation experience that showcases your brand and keeps users coming back for more by prioritizing the user experience and considering the needs and preferences of your target audience.

Showcase your data analytical and visualization skills by transforming complex healthcare records into actionable insights that can revolutionize patient care and drive cost efficiencies.

Practice your data skills and learn from what is a typical scenario faced by many businesses in various industries

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

This dataset provides insights into customer behavior and preferences through a loyalty program. The data includes details on customer demographics, purchase history, and feedback.

Learn advanced techniques such as two-sample inference, correlation analysis, linear regression, and more!

Learn to process, analyze, and visualize financial data using powerful Python libraries.

This guide provides a comprehensive roadmap for mastering data analytics, outlining key steps and strategies to help learners effectively build and refine their skills in this field.

Which suits your workflow? ETL is perfect for controlled, structured data. ELT is the go-to for fast, flexible, and scalable big data solutions.

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 guide provides a step-by-step approach for beginners to effectively learn and master Power BI, focusing on key concepts, data handling, and report creation.

Learn to enhance DAX performance through effective query planning, VertiPaq optimization, and strategic query analysis!