- Applied Mathematics
- Derivatives
- Data Science
- Numerical Analysis
- Mathematical Theory & Analysis
- Calculus
- Linear Algebra
- Integral Calculus
Integral Calculus and Numerical Analysis for Data Science
Completed by William Stewart Seaton II
January 11, 2024
3 hours (approximately)
William Stewart Seaton II's account is verified. Coursera certifies their successful completion of Integral Calculus and Numerical Analysis for Data Science
What you will learn
Practice integrating by parts for more complex problems.
Identify how bisection works after its given an initial guess.
Diagonalize a matrix by hand.
Compute the partial derivatives of a function.
Skills you will gain
