Data Analysis

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 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.

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

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

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

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

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

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

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.

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

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

Master SQL fluency from scratch and unlock endless data querying possibilities. Level up your skills and dominate the world of data analysis!

Dive deeper into using ChatGPT for data science tasks. Explore techniques for data preprocessing, feature engineering, model training, and deploying ChatGPT models for specific data analysis and prediction tasks.

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!

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.

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

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?

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

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.

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

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.

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.

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

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.

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.

Showcase your data analytical and visualisation skills, have fun and earn professional recognition

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.

Examine historical demographic trends to unlock insights for urban planning and sustainable development.

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

Analyze OmniRetail’s 2024 customer satisfaction data to uncover what drives loyalty across regions, demographics, and support experiences.

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 integrate R for creating custom visuals and conducting deep text analytics within your reports!

Explore how Predictive Analytics forecasts future trends and Descriptive Analytics reveals past patterns. Download to harness strategic insights!

Learn to automate complex functions, enhance macros, and streamline your data workflows using advanced AI capabilities!

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

Learn to utilize Python for robust marketing analytics, from data manipulation to predictive modeling.

Master the art of creating and optimizing SQL queries to enhance your data analysis capabilities.

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