About this Course
Master the foundational principles of differential calculus and unlock analytical capabilities essential for data science, engineering, and advanced mathematics. This course provides comprehensive training in derivative calculations, optimization techniques, and real-world problem-solving applications. Through systematic exploration of differentiation rules, implicit differentiation, and critical point analysis, you will develop robust mathematical reasoning skills applicable across scientific and business domains. Learn to model dynamic systems, analyze rates of change, and apply calculus techniques to solve complex optimization challenges. Whether advancing in quantitative fields or building analytical foundations for graduate studies, this course equips you with rigorous mathematical frameworks and practical computational skills to excel in data-driven decision-making and technical problem-solving
What You'll Learn
- Apply differentiation rules to solve rate-of-change problems
- Use derivatives for optimization and critical point analysis
- Perform implicit and higher-order differentiation for modeling
- Apply derivatives to gradient estimation and curve analysis
Prerequisites
- Basic familiarity with related concepts and terminology
- Willingness to practice through applied exercises
Instructors
Stavros Richard Christopoulos