Data Analysis

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

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

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

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!

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

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

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

Unleash advanced insights with our analytics course. Master hidden patterns and lead data-driven strategies—enroll now and gain a competitive edge!

Step into data mastery: Discover the essentials of data literacy! Learn to make confident decisions and navigate the world of data with ease.

Master key data modeling and DAX concepts and techniques to optimize performance in Power BI

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

An in depth overview of the entire Power BI suite, with a focus on using Power BI to extract compelling insights from your own data.

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!

Gain a profound understanding of the practicality and significance of data-driven insights in today's decision-making landscape

Dramatically enhance Power BI's capabilities by incorporating Python's flexible and powerful data wrangling, data analysis and data visualization functionality

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.

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.

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.

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

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.

Discover why embracing change and data analytics is crucial with Sam McKay and Shiv Misra. Learn how it drives business success.

Take a deep dive into the world of utilisation and timesheet 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.

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

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

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

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

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

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.

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

OLAP analyzes large data for decisions, while OLTP manages real-time transactions for operations. Essential for informed business actions!

Learn to process and analyze data, build predictive models, and optimize their performance with Python!

Move from Excel to Python to utilize advanced features in Google Colab and powerful Python libraries for deeper insights and more dynamic data handling!

Learn to preprocess data, train models, and deploy for predictive insights. Ideal for automating tasks!

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

This guide provides a structured approach to mastering DAX functions in Power BI, covering everything from basic syntax to advanced calculations and optimization techniques.

This guide introduces beginners to Python for data analysis, covering essential steps from installation to performing exploratory data analysis and writing custom functions.