Advanced Analytics

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

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

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!

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

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

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

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

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

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

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

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

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

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

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.

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

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

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.

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.

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

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.

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

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

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

Use the data documenter tool to create an effective report template 

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

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

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.

Deep dive into the world of F1 and create an analysis of the drivers' stats

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

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

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

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

Boost your AI results with organized, reusable prompts for smarter, faster answers.

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

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

This Excel formulas cheat sheet covers advanced forecasting formulas, statistical analysis, data manipulation functions, error handling, and more.