Data 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!

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

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

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

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.

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.

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

Unlock the power of Python for data cleaning and Natural Language Processing. Master essential functions, algorithms, and programming methods to level up your skills!

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.

Explore DAX from the ground up and apply your knowledge to create impactful Power BI models. This course will guide you through the essentials of DAX, helping you to develop effective data strategies.

Revolutionize your Excel experience with ChatGPT! Master AI-powered techniques to streamline tasks, boost efficiency, and excel in data management.

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

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

Refine your Power BI development skills with expert-reviewed best practices. Elevate your expertise and create impactful insights!

New tools are everywhere. Old systems are breaking. Here’s what it means to build in the middle of it all.

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.

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.

Listen as Jarrett Moore talks to Sam McKay on how he scaled a data analytics system for his own company and built a separate data product on top of it

As voice commands become the new keyboard, interacting with AI through speech and Model Context Protocol (MCP) is reshaping how we work and create. But it’s not just about convenience—it’s about control. While AI learns from our inputs, social media continues to shape the outputs we see, framing our digital realities. The question is: Are we guiding the tech, or is it guiding us?

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.

Self-service BI had potential, but never truly worked. This podcast episode explores why and what it could look like today with smarter tools.

Explore AI's transformative power in data analytics and its impact across industries on ‘The Analytic Mind’ podcast. Learn about its broad implications.

In this challenge, participants are encouraged to dive deep, explore, and come up with unique insights and visualizations.

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

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

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.

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

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

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

Analyze MyGym’s member data to uncover trends, boost retention, and optimize revenue. Your insights will drive smarter pricing, better service offerings, and improved facility planning.

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 to structure neural models, optimize data processes, and apply sophisticated algorithms for enhanced predictive analytics and problem-solving!

This comparison highlights the key differences between Data Analysts and Data Scientists, focusing on their core responsibilities, tools, and career paths within the data ecosystem.

This Microsoft Excel intermediate cheat sheet covers a wide range of topics that will level up your skills in numerical analysis, text processing, and complex date and time logic.

Discover how to simplify your debugging by breaking formulas apart, using variables, and testing each component.

Discover how Data Marts target department-specific needs and Data Warehouses enable enterprise-wide insights. Download to optimize your data strategy!

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

Using DAX effectively is one of the most important things to master in Power BI. This detailed guide gives you all the main topics and techniques to focus on.