Data Analysis

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

Discover data cleaning, data frames, and essential packages like dplyr, tidyverse, skim R, and seaborn for powerful data visualization.

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!

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.

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

Advanced course using Power BI & DAX to solve complex but common business problems and scenarios you'll face everyday

Advance your analytics capabilities: Transition from basic spreadsheets to Python and explore powerful data analysis techniques with our expert-led course.

Master valid inference techniques for two-sample and two-variable data. Transform your analytical skills and answer complex data questions with confidence!

Create advanced analytical models by learning how to harness the power of DAX calculations for use within Power BI

Elevate your financial analytics skills with Python for Finance, exploring cutting-edge techniques for data retrieval, time series analysis, and predictive modeling.

A comprehensive course providing financial professionals with the fundamentals of SQL and its application in financial analysis.

Transform your data approach with Python expertise! Transition from Excel and open the door to limitless possibilities for your projects, seamlessly moving from cells to scripts.

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

In this video, we dive deep into how advancements in artificial intelligence are transforming the software development landscape. From Power BI integrations to the rise of AI coding assistants like OpenRouter and the adoption of Vibe Coding, discover how developers are rethinking traditional workflows.

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.

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.

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

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

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.

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.

Analyze data from marketing campaigns and initiatives, using visualization tools and statistical analysis techniques to identify trends and patterns, and use these insights to inform marketing strategy and decision-making.

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

Explore D.C.'s crime trends to uncover hotspots, identify patterns, and turn data into actionable insights for safer communities.

Create a report or dashboard to help management visualize what is happening on the new app

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

An excellent opportunity for you to create a one-page data report for Covid-19 analysis

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

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

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

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.

Playbook in Data Mentor enable fast and effective deep dives into any formula, code or topics. The guide quickly show you how

DAX is the true power behind Power BI. In this resources you will learn what fundamental concepts you should focus on first.

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

Discover Python for data cleaning, NLP, and visualizations in Power BI, focusing on automation, text analysis, and performance optimization.

Learn to integrate ChatGPT for automating analysis, coding, and enhancing documentation!

Learn AI in Data Analytics for real-time, automated insights versus Traditional Data Analytics' manual, historical approach. Download to learn more!