Comprehensive Curriculum

Classical topics like Riemann sums, u-substitution, integration by parts, and more

Python Integration

Visualize and implement concepts using Python libraries such as NumPy, SymPy, and Matplotlib

Real-World Applications

Explore applications like computing arc lengths, surface areas, and probability distributions

About the Course

If Calculus 1 was about understanding change, then Calculus 2 is about accumulation: how small changes stack up to build area, volume, probability, and complexity. Integration is where mathematics meets imagination — it's where the abstract and the physical merge. From Riemann sums to probability distributions, from arc lengths to solids of revolution, integral calculus provides the tools to describe, quantify, and visualize everything from the motion of particles to the structure of data. It’s a gateway to multivariable calculus, mathematical modeling, and data science. And it's not just a theoretical subject. Integration is foundational to fields including physics, engineering, machine learning, quantitative finance, and statistics. If you want to understand the algorithms behind data science or build the mathematical foundation needed for AI, you need to understand integrals. Well, you could learn integration by watching a lecture filled with blackboard equations and hoping it sinks in. Or you could take a more interactive, hands-on approach. This course follows the principle that “you can learn a lot of math with a bit of coding.” You'll use Python — especially NumPy, SymPy, and Matplotlib — to visualize integrals, implement numerical approximations, explore convergence, and gain intuition for the fundamental ideas of calculus.

Meet Your Instructor

I am a full-time educator and writer, and former professor of neuroscience. I "retired" from my tenured job so I could focus my time and energy creating high-quality educational material just for you.  I have 20 years of experience teaching coding, data analysis, signal processing, statistics, and math. I've taught undergraduate students, PhD candidates, postdoctoral researchers, and full professors. I have taught in "traditional" university courses, special week-long intensive courses, and Nobel prize-winning research labs. So trust me when I say that that you've come to the right place to maximize your learning from an instructor who has spent two decades refining and perfecting his teaching style.   Over 300,000 students have watched over 50,000,000 minutes of my courses. Come find out why!

Curriculum

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Unlock Your Potential

Take the next step in mastering integral calculus with Python. Enroll now and gain conceptual mastery, practical skills, and real-world insights.