Advanced Analytics

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

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

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

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

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

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

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

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

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

Unlock the power of Python for data cleaning and Natural Language Processing. Master essential functions, algorithms, and programming methods to level up your skills!

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

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.

Navigate data uncertainty with our practical guide. Learn to recognize, understand, and manage it effectively to make smarter decisions.

Unlock the power of data analysis and visualization with PandasAI, and transform raw data into actionable insights that drive decision-making and growth.

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.

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.

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.

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.

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

Use the data documenter tool to create an effective report template 

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

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

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

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.

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.

Learn essential techniques for handling complex data, automating processes, and optimizing queries!

Learn to process, analyze, and visualize financial data using powerful Python libraries.

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

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.

Learn to enhance DAX performance through effective query planning, VertiPaq optimization, and strategic query analysis!

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

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