Overview
In this 7-hour course, you will dive into core calculus concepts and their applications in data science and machine learning. You’ll learn how to implement key calculus techniques using Python, solving real-world problems with hands-on coding exercises.
What I will be able to do after this course
- Understand core calculus concepts like limits, derivatives, and integrals
- Apply symbolic math using SymPy and numerical calculations with NumPy
- Use calculus to solve real problems in data science and machine learning
- Learn optimization techniques like Gradient Descent for machine learning
- Build mini projects such as a derivative calculator and optimizer
Course Instructor(s)
Dr. Ron Erez has over 30 years of programming experience and a passion for solving problems through coding. He has taught mathematics, computer science, and English at various levels and is dedicated to making complex concepts accessible to learners.
Who is it for?
This course is perfect for aspiring data scientists, machine learning enthusiasts, and Python programmers who want to strengthen their calculus skills and apply them to solve real-world data science and machine learning challenges.
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