Advanced 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.

Take your data analysis to the next level with Python. Seamlessly integrate Python and AI for efficient workflows and game-changing insights.

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!

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

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.

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

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

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

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.

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

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

Elevate your marketing capabilities by integrating Python's robust analytical and data visualization tools, enhancing marketing strategies with insights powered by Python.

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

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.

Power BI transformed analytics, but as AI reshapes the landscape, is it still the tool for the future? This episode explores what's next for data professionals.

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.

Explore Microsoft’s latest moves with DAX UDFs, MXGP, agent-driven testing, and AI tools like Cursor, Claude Code, and GPT-5 that are reshaping analytics and development.

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

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

Enhance your development skills by creating a supplier insights report

Use the data documenter tool to create an effective report template 

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

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

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.

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

Create an analysis report on environmental data and potentially impact how this data is visualized and recorded

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

Combine Excel, Power BI, Python, and AI to automate your data tasks, speed up reporting, and unlock smarter, seamless insights, all in one powerful workflow.

Learn to leverage PandasAI for intuitive data manipulation and AI-driven transformations!

Learn to navigate and manipulate lists, records, and tables to enhance your data analysis!

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

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

Learn to run Python code, collaborate on projects, and access powerful computing resources like GPUs at no cost.

Leverage Python's powerful libraries for advanced data manipulation and analysis!

Learn key techniques such as query optimization, advanced SQL functions, and how to seamlessly blend SQL with DAX for dynamic data modeling!