Machine Learning & Data Science: The Complete Visual Guide

Learn data science & machine learning topics with simple, step-by-step demos and user-friendly Excel models (NO code!)

Created by: Maven Analytics
Empowering everyday people with life-changing data skills

Created by: Chris Dutton
Best-Selling Instructor, Founder @ Maven Analytics

Created by: Joshua MacCarty
Lead ML Instructor

What Will I Learn?

• Build foundational machine learning & data science skills WITHOUT writing complex code
• Play with interactive, user-friendly Excel models to learn how machine learning techniques actually work
• Enrich datasets using feature engineering techniques like one-hot encoding, scaling and discretization
• Predict categorical outcomes using classification models like K-nearest neighbors, naïve bayes, and decision trees
• Build accurate forecasts and projections using linear and non-linear regression models
• Apply powerful techniques for clustering, association mining, outlier detection, and dimensionality reduction
• Learn how to select and tune models to optimize performance, reduce bias, and minimize drift
• Explore unique, hands-on case studies to simulate how machine learning can be applied to real-world cases

Requirements

• This is a beginner-friendly course (no prior knowledge or math/stats background required)
• We'll use Microsoft Excel (Office 365) for some course demos, but participation is optional

Target audience

• Anyone looking to learn the foundations of machine learning through interactive, beginner-friendly demos
• Data Analysts or BI experts looking to transition into data science or build a fundamental understanding of machine learning
• R or Python users seeking a deeper understanding of the models and algorithms behind their code
• Excel users who want to learn and apply powerful tools for predictive analytics