Data Analysis

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

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!

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

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

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

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

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

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

This course introduces beginners to the R programming language, focusing on its application in data analysis.

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

Boost your Excel skills with ChatGPT integration! Learn how to use macros and APIs to seamlessly blend ChatGPT into Excel, enhancing both your productivity and learning experience.

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

Navigate data uncertainty with our practical guide. Learn to recognize, understand, and manage it effectively to make smarter decisions.

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

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

With AI, things that once took teams of engineers and thousands of dollars can be done in minutes with AI-powered development. The opportunity is massive. AI is not replacing jobs—it’s creating new ones for those who are willing to learn.

Resumes don’t cut it anymore. Showcase your work, build real projects, and focus on strategy to future-proof your career.

From Google’s Gemini 2.5 to OpenAI’s ChatGPT 4.0, we explore how the latest advancements in artificial intelligence are revolutionizing creativity, reshaping the future of work, and challenging our perceptions of trust. What does this mean for artists, professionals, and society at large? Tune in as this conversation will give you insight into the fast-evolving AI landscape.

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

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

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.

AI is fast. But it still needs you. This episode unpacks why orchestration matters more than ever.

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.

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

Analyze 2024 social media data to uncover what makes content perform across platforms. Show your insights, sharpen your skills, and compete for exciting prizes.

Create a summary report, a task that for many data analysts will always find its way across the desk every so often

Identify trends and patterns in a variety of factors that influence the cost of living in different regions around the world by using statistical analysis techniques and visualization tools.

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.

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

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.

Develop an analysis report about the Football/Soccer Players Summer Transfers Season 2022-23

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 the essentials of R programming, data manipulation, and visual analysis to uncover actionable insights from your data!

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

An in-depth exploration of how R can be integrated with Power BI to enhance data analytics and visualization capabilities. Covering essential topics such as R setup, basic scripting, custom visualizations with ggplot2, and advanced statistical analyses, enabling users to leverage R's powerful features within Power BI for more insightful and actionable reporting.

Supervised learning predicts outcomes using labeled data. Unsupervised learning uncovers patterns in raw, unlabeled data. Two methods, two powerful approaches!

This infographic offers a clear and straightforward guide to enhancing your role in your organization through data skills.

Data lakes manage unstructured data for analytics, while data warehouses handle structured data for reporting. What’s your priority: flexibility or performance?

Learn to set up R, use ggplot2 for stunning visuals, and apply R for predictive analytics within Power BI!