Grader Education Requirements

1. Algebra and Differential Calculus for Data Science

Are you interested in Data Science but lack the math background for it? Has math always been a tough subject that you tend to avoid? This course will teach you the most fundamental Calculus concepts that you will need for a career in Data Science without a ton of unnecessary proofs and techniques that you may never use. Consider this an expressway to Data Science with approachable methods and friendly concepts that will guide you to truly understanding the most important ideas in Differential...

2. Differential Calculus through Data and Modeling

This specialization provides an introduction to topics in single and multivariable calculus, and focuses on using calculus to address questions in the natural and social sciences. Students will learn to use the tools of calculus to process, analyze, and interpret data, and to communicate meaningful results, using scientific computing and mathematical modeling. Topics include functions as models of data, differential and integral calculus of functions of one and several variables, differential...

3. Numerical Methods for Engineers

This course covers the most important numerical methods that an engineer should know. We derive basic algorithms in root finding, matrix algebra, integration and interpolation, ordinary and partial differential equations. We learn how to use MATLAB to solve numerical problems. Access to MATLAB online and the MATLAB grader is given to all students who enroll. We assume students are already familiar with the basics of matrix algebra, differential equations, and vector calculus. Students should...

4. Algebra: Elementary to Advanced - Equations & Inequalities

This course is intended for students looking to create a solid algebraic foundation of fundamental mathematical concepts from which to take more advanced courses that use concepts from precalculus, calculus, probability, and statistics. This course will help solidify your computational methods, review algebraic formulas and properties, and apply these concepts model real world situations. This course is for any student who will use algebraic skills in future mathematics courses. Topics include:...

5. Calculus through Data & Modeling: Differentiation Rules

Calculus through Data & Modeling: Differentiation Rules continues the study of differentiable calculus by developing new rules for finding derivatives without having to use the limit definition directly. These differentiation rules will enable the calculation of rates of change with relative ease the derivatives of polynomials, rational functions, algebraic functions, exponential and logarithmic functions, and trigonometric and inverse trigonometric functions. Once these rules are developed,...

6. Mathematics for Engineers

This specialization was developed for engineering students to self-study engineering mathematics. We expect students are already familiar with single variable calculus and computer programming. Students will learn matrix algebra, differential equations, vector calculus and numerical methods. MATLAB programming will be taught. Watch the promotional video!...

7. Differential Equations with the Math Sorcerer

4.8

(389)

Complete Differential Equations Course with TONS of worked problems and assignments:)...

8. A Complete First Course in Differential Equations

4

(495)

A University Level Introductory Course in Differential Equations...

9. Mathematical Foundations of Machine Learning

4.6

(3,742)

Essential Linear Algebra and Calculus Hands-On in NumPy, TensorFlow, and PyTorch...

10. Linear Algebra Mathematics for Machine Learning Data Science

4.4

(286)

Go Zero to Pro - Complete linear algebra - Mathematics for data science, machine learning & Deep Learning...

11. Complete Linear Algebra for Data Science & Machine Learning

4.7

(671)

Linear Algebra for Data Science, Big Data, Machine Learning, Engineering & Computer Science. Master Linear Algebra...

12. INTUITION MATTERS! Applied Calculus in Engineering: Complete

4.6

(469)

Calculus + Engineering + PID: Functions, Limits, Derivatives, Vectors, differential equations, integrals: BEST CALCULUS...

13. Learn Algebra The Easy Way!

4.8

(1,441)

Algebra Review - Slope, Graphing Linear Equations, Exponents, Factoring, Solving Quadratic Equations, & Radicals...

14. Customer Service & Support For Customer Service Executives

4.5

(327)

Learn Customer Service Skills & Provide Excellent Customer Support, Customer Experience & How To Manage Upset Customers...

15. Differential Equations: Linear Algebra and NxN Systems of Differential Equations

Differential equations are the mathematical language we use to describe the world around us. Most phenomena can be modeled not by single differential equations, but by systems of interacting differential equations. These systems may consist of many equations. In this course, we will learn how to use linear algebra to solve systems of more than 2 differential equations. We will also learn to use MATLAB to assist us. We will use systems of equations and matrices to explore: The original page...

16. Engineering Calculus and Differential Equations

How do electrical engineers find out all the currents and voltages in a network of connected components? How do civil engineers calculate the materials necessary to construct a curved dome over a new sports arena? How do space flight engineers launch an exploratory probe? If questions like these pique your interest, this course is for you! Calculus with differential equations is the universal language of engineers. In this course, “Engineering Calculus and Differential Equations,” we will...

17. Mathematics and Statistics Fundamentals Proctored Exam

This exam assesses all concepts, methods and techniques introduced across the four courses within the LSE MicroBachelors program in Mathematics and Statistics Fundamentals: Mathematics 1: Differential calculus Mathematics 1: Integral calculus, algebra, and applications Statistics 1: Introductory statistics, probability and estimation **** Statistics 1: Statistical methods **** It is two hours in duration and must be sat under online proctored conditions. It is the final step towards completing...

18. Pre-University Calculus

Mathematics is the language of Science, Engineering and Technology. Calculus is an elementary mathematical course in any Science and Engineering Bachelor. Pre-university Calculus will prepare you for the Introductory Calculus courses by reviewing five important mathematical subjects that are assumed to be mastered by beginning Bachelor students: functions, equations, differentiation, integration and analytic geometry. After this course you will be well prepared to start your university calculus...

19. Differential Equations: Fourier Series and Partial Differential Equations

Differential equations are the mathematical language we use to describe the world around us. Many phenomena are not modeled by differential equations, but by partial differential equations depending on more than one independent variable. In this course, we will use Fourier series methods to solve ODEs and separable partial differential equations (PDEs). You will learn how to describe any periodic function using Fourier series, and will be able to use resonance and to determine the behavior of...

20. Differential Equations: 2x2 Systems

Differential equations are the language of the models we use to describe the world around us. Most phenomena require not a single differential equation, but a system of coupled differential equations. In this course, we will develop the mathematical toolset needed to understand 2x2 systems of first order linear and nonlinear differential equations. We will use 2x2 systems and matrices to model: predator-prey populations in an ecosystem, competition for tourism between two states, the...