Data Analysis

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

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

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

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!

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

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

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

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

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.

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

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

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

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

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

Revolutionize your Power BI dashboards with ChatGPT! Learn simple techniques to infuse AI into your data visuals, making them more interactive and insightful.

Discover how AI Agents are accelerating software creation, reducing the need for traditional coding skills, and enabling seamless integration of data from multiple sources.

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

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.

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.

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.

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

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.

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.

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

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

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.

Analyze the data of a large insurance company who are due to undergo an internal audit with regard to its complaint’s procedure

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

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

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

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

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

This starter guide is designed to provide an essential foundation in data analytics, offering clear insights into core concepts, tools, and techniques. Enhance your data-driven decision-making skills and leverage analytics to drive business success.

Learn architecture basics, data engineering, and advanced analytics. Helping you integrate Azure services and manage scalable solutions!

Learn to manage documents, customize sites, and automate workflows seamlessly within SharePoint!

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

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.

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

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.