What Will You Learn?

Mathematica Essentials is a comprehensive first course in Mathematica. Mathematica can be used in ANY computational field: financial analysis, machine learning, data visualization, bioinformatics, speech recognition, and much, much more.

  • Begin with Mathematica Fundamentals and dive into documentation, numerical types, cells, functions, custom functions, expressions, lists, and more.

  • Dive into the world of Plots and Graphics where we will introduce you to 2D Graphics, 3D Graphics, and beyond.

  • Learn how to solve essential mathematics with skills such as solving equations, polynomial equations, derivatives, integrals, and modular arithmetic.

  • Become proficient in working with data including entities and importing/exporting data.

  • Download sample notebooks, practice data, puzzles and more from our Wolfram github repository.

Expertly Produced Video Lessons

Elevate your Mathematica skills with our professionally produced video lessons, guiding you through each concept with clarity and expertise.
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We Want to Help

Learning Mathematica can be fun

At Socratica, our mission is simple yet profound: to empower learners of all levels with the tools they need to master math and science. We understand that the journey to proficiency in this powerful computational language can be daunting, and existing resources often fall short of meeting the diverse needs of learners. We recognize that everyone learns differently, so our courses are designed to cater to various learning styles. Whether you're a visual learner who benefits from clear demonstrations, a hands-on enthusiast who thrives on practical exercises, or someone who appreciates in-depth explanations, Socratica has you covered.
Meet Our Team

Instructors

Michael Harrison

Founder

Michael is an exceptional instructor that combines a strong academic foundation with real-world expertise. He earned his BS in Mathematics from Caltech and completed graduate studies in mathematics at the University of Washington, specializing in Number Theory. Beyond his formal education, Michael is a self-taught programmer who has taught Mathematics and Computer Programming at the college level, honing his ability to simplify complex concepts for diverse learners. His professional experience includes working as a quantitative analyst (quant) at a hedge fund, where he applied advanced mathematical models to financial markets, and as a programmer at Google, leveraging his analytical skills in a cutting-edge tech environment.

Kimberly Hatch Harrison

Founder

Kimberly earned her BS in Biology and another BS in English at Caltech. She did her graduate work in Molecular Biology at Princeton, specializing in Immunology and Neurobiology. Kimberly spent 16+ years as a research scientist and a dozen years as a biology and chemistry instructor.

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