Data Analysis

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

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.

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.

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

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

Master the art of creating visually appealing and insightful dashboards and reports using Power BI, leveraging its wide range of visualization options and features.

Learn how to predict and optimize for results in the future, by utilizing 'what if' parameters and scenario analysis techniques

*NEW* Explore comprehensive Power BI desktop development techniques. From managing data sources, advanced visualization and sharing reports.

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

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

PySpark made easy! Learn Pandas and Polars to navigate any dataset, uncover valuable insights, and become a data analysis powerhouse.

Dive into data mastery with our comprehensive Pandas course. Learn to manipulate and analyze data effectively, unlocking powerful insights that drive success.

A comprehensive course providing financial professionals with the fundamentals of SQL and its application in financial 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.

Model Context Protocol (MCP) is transforming how AI tools operate in real-world settings. By improving the way context is carried and recalled, MCP unlocks smarter automation and learning. As AI systems evolve, MCP will play a key role in how we bridge learning, memory, and adaptive functionality across tools and workflows.

Explore the AI revolution's impact on data analysis with Sam in a thought-provoking episode of ‘The Analytic Mind’. Learn about its transformative effects.

From Google’s Gemini 2.5 to OpenAI’s ChatGPT 4.0, we explore how the latest advancements in artificial intelligence are revolutionizing creativity, reshaping the future of work, and challenging our perceptions of trust. What does this mean for artists, professionals, and society at large? Tune in as this conversation will give you insight into the fast-evolving AI landscape.

Vibe coding, Model Context Protocol (MCP), and AI-powered tool use represent a transformative shift in how developers interact with technology. These innovations bridge the gap between learning and implementation, enhance productivity, and redefine how we work with AI—making development more intuitive, accessible, and dynamic.

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.

Discover how data analytics saves lives in healthcare with Sam McKay and Anuj Kapoor. Learn the importance of clear problem statements and quality data.

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

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

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 

Challenge your data skills by producing a report that gives the user the ability to select a currency and see the associated sales and cost

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

Implement your analytical skills in creating a report of the entire business operation from production to forecasting.

Analyze the data of a medical emergency response service and discover opportunities for improvement on their process

Practice your data skills and learn from what is a typical scenario faced by many businesses in various industries

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.

This starter guide is designed to provide an essential foundation in data analytics, offering clear insights into core concepts, tools, and techniques. Enhance your data-driven decision-making skills and leverage analytics to drive business success.

Learn to use 'What-If' parameters, advanced DAX, and sensitivity analysis to model various business outcomes!

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

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

Move from Excel to Python to utilize advanced features in Google Colab and powerful Python libraries for deeper insights and more dynamic data handling!

Batch processes large data sets periodically, while real-time gives you insights on the spot. Find out which is right for you!

Learn to preprocess data, train models, and deploy for predictive insights. Ideal for automating tasks!