Data 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!

Gain comprehensive knowledge in key features including data transformation, modeling, DAX calculations, and visualization. Build analytical solutions surpassing traditional reporting!

Elevate your expertise in data management, analytics, and system integration. Start your transformative journey with our comprehensive courses!

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

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

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.

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

Learn how to automate Excel tasks and streamline workflows with Microsoft Copilot and ChatGPT’s AI-driven tools.

Dominate the Microsoft Power Platform (PL-900) Certification exam with our comprehensive training guide. Gain the knowledge and confidence to excel!

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

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

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.

Uncover Microsoft Fabric's power! Secure OneLake data, optimize with Apache Spark, and master lakehouse vs. warehouse structures. Elevate your data game today!

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

Dive deeper into using ChatGPT for data science tasks. Explore techniques for data preprocessing, feature engineering, model training, and deploying ChatGPT models for specific data analysis and prediction tasks.

Discover why embracing change and data analytics is crucial with Sam McKay and Shiv Misra. Learn how it drives business success.

Is Copilot finally finding its stride? With new AI innovations on the horizon, the way we work might be about to change—again. Are we prepared for what’s coming, or just getting comfortable with the current wave? The future isn’t slowing down.

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.

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

Listen as Jarrett Moore talks to Sam McKay on how he scaled a data analytics system for his own company and built a separate data product on top of it

Explore AI's transformative power in data analytics and its impact across industries on ‘The Analytic Mind’ podcast. Learn about its broad implications.

With AI, things that once took teams of engineers and thousands of dollars can be done in minutes with AI-powered development. The opportunity is massive. AI is not replacing jobs—it’s creating new ones for those who are willing to learn.

Excel remains a critical part of tech workflows, even as AI, hardware, and virtual reality rapidly evolve. As AI presents new opportunities, it also introduces growing security concerns, while hardware limitations continue to impact progress. Meanwhile, VR is expanding into new sectors, shaping the future of digital interaction.

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

Identify trends and patterns in a variety of factors that influence the cost of living in different regions around the world by using statistical analysis techniques and visualization tools.

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

Create a navigation experience that showcases your brand and keeps users coming back for more by prioritizing the user experience and considering the needs and preferences of your target audience.

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 data from marketing campaigns and initiatives, using visualization tools and statistical analysis techniques to identify trends and patterns, and use these insights to inform marketing strategy and decision-making.

This dataset provides insights into customer behavior and preferences through a loyalty program. The data includes details on customer demographics, purchase history, and feedback.

Learn to handle vast datasets, perform complex data transformations, and optimize your big data analytics workflow efficiently!

Discover how to simplify your debugging by breaking formulas apart, using variables, and testing each component.

Learn to create dynamic maps, integrate accurate geospatial data, and apply 3D modeling for enhanced visualization and decision-making!

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

Learn to process and analyze data, build predictive models, and optimize their performance with Python!

Unlock your data analysis potential with '100 Things You Can Do With Data Mentor', a guide showcasing the multifaceted capabilities of the Data Mentor tool.

Supervised learning predicts outcomes using labeled data. Unsupervised learning uncovers patterns in raw, unlabeled data. Two methods, two powerful approaches!