Advanced Analytics

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

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.

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!

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

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

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

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

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

Master valid inference techniques for two-sample and two-variable data. Transform your analytical skills and answer complex data questions with confidence!

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.

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

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

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

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.

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.

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

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

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

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

Enhance your development skills by creating a supplier insights report

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

Use the data documenter tool to create an effective report template 

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

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

Learn to harness ADA's powerful analytics to generate, manipulate, and visualize data effectively, making your data tasks more efficient and insightful!

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

An in-depth guide to understanding the methodologies and applications of OpenAI's Advanced Data Analysis (ADA).

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

Top analysts are doubling their output by using AI for insights, Power BI for reporting, and AI platforms like Lovable and Cursor to automate data tasks.

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

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

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