[Member Access] The Complete Visual Guide to Machine Learning & Data Science by Maven Analytics, Chris Dutton, Joshua MacCarty

Course Title
The Complete Visual Guide to Machine Learning & Data Science by Maven Analytics, Chris Dutton, Joshua MacCarty

Description
Dive into the world of machine learning and data science with Maven Analytics. This course is meticulously designed to make learning accessible and enjoyable, even for those without a coding background. Forget about the intimidating world of complex code; here, you’ll interact with intuitive Excel models. You’ll gain hands-on experience with vital machine learning concepts such as classification models like K-nearest neighbors, naïve Bayes, and decision trees. Each part of the course takes you through critical techniques: from preliminary data analysis and feature engineering in Part 1, to mastering classification and regression models in Parts 2 and 3, and exploring unsupervised learning techniques in Part 4. In Part 1, you’ll learn to prepare raw data for analysis using graphical tools and profiling metrics. In Part 2, delve into supervised learning, model selection, and optimization while tackling real-life scenarios like building a recommendation engine for Spotify. Part 3 focuses on regression and forecasting, where you’ll look at time-series techniques to make sense of business data. Finally, Part 4 introduces essential unsupervised methods to identify customer segments and outlier detection, ensuring you understand the myriad techniques available. By the end, you’ll walk away with practical knowledge that feels relevant and usable, all through a visual and interactive approach.

Why You Will Love This Course
Unlock a new skill set without the hassle of coding. Learn to apply machine learning techniques to real-world problems in an intuitive way. You’ll leave feeling confident, equipped to analyze and interpret data that can drive business decisions.

Who This Is For
This course is for anyone wanting to step into the exciting world of data analysis without prior experience in programming. Ideal for professionals seeking to add machine learning to their repertoire or individuals curious about data science principles. If you’re ready to break into a high-demand field with approachable tools and real-life applications, this course is perfect for you.

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