Function notebook
Study ten common functions: graph, limits, variations, with a Python plot.
Future students of preparatory classes or science degrees.
Algebra, functions, calculus, first Python programs and general chemistry.
Skill labels as listed on Coursera.
| Course | Level | Length | Rating (reviews) |
|---|---|---|---|
| Algebra: Elementary to Advanced - Equations & Inequalities | Beginner | 10 h | 4.8 (654) |
| Algebra: Elementary to Advanced - Functions & Applications | Beginner | 6 h | 4.8 (198) |
| Algebra: Elementary to Advanced - Polynomials and Roots | Beginner | 9 h | 4.9 (176) |
Stated prerequisites: Some high school algebra and function basics
| Course | Level | Length | Rating (reviews) |
|---|---|---|---|
| Precalculus: Relations and Functions | Beginner | 12 h | 4.7 (231) |
| Precalculus: Periodic Functions | Beginner | 9 h | 4.7 (110) |
| Precalculus: Mathematical Modeling | Beginner | 10 h | 4.8 (98) |
Stated prerequisites: Some familiarity with precalculus, specifically exponential and logarithm functions
| Course | Level | Length | Rating (reviews) |
|---|---|---|---|
| Calculus through Data & Modeling: Precalculus Review | Beginner | 8 h | 4.8 (124) |
| Calculus through Data & Modeling: Limits & Derivatives | Beginner | 10 h | 4.7 (212) |
| Calculus through Data & Modeling: Differentiation Rules | Intermediate | 8 h | 4.8 (124) |
| Calculus through Data & Modeling: Applying Differentiation | Intermediate | 7 h | 4.7 (63) |
Stated prerequisites: Working knowledge of differential calculus
| Course | Level | Length | Rating (reviews) |
|---|---|---|---|
| Calculus through Data & Modelling: Series and Integration | Intermediate | 9 h | 4.9 (63) |
| Calculus through Data & Modelling: Techniques of Integration | Intermediate | 5 h | 4.7 (55) |
| Calculus through Data & Modelling: Integration Applications | Intermediate | 6 h | 4.6 (28) |
| Calculus through Data & Modelling: Vector Calculus | Intermediate | 5 h | 4.7 (53) |
Stated prerequisites: No prerequisites; designed as an on-ramp to programming
| Course | Level | Length | Rating (reviews) |
|---|---|---|---|
| Programming for Everybody (Getting Started with Python) | Beginner | 17 h | 4.8 (233,775) |
| Python Data Structures | Beginner | 20 h | 4.9 (97,365) |
| Using Python to Access Web Data | Beginner | 19 h | 4.8 (44,591) |
| Using Databases with Python | Beginner | 14 h | 4.8 (21,659) |
| Capstone: Retrieving, Processing, and Visualizing Data with Python | Beginner | 9 h | 4.7 (14,483) |
Stated prerequisites: Strong algebra foundation
This path takes 228 hours, about 5 months at 10 hours a week. A Coursera Plus subscription gives access to most of its courses during that time.
Study ten common functions: graph, limits, variations, with a Python plot.
Compare exact integrals with rectangle and trapezoid methods programmed in Python.
Simulate an acid-base titration curve and find the equivalence point.