Mathematics Courses and Certifications

Statistics for Applications

1 rating

This course offers an in-depth the theoretical foundations for statistical methods that are useful in many applications.

• MIT OpenCourseWare
• 28 hours
• Self-Paced
• Free Video

The Organic Chemistry Tutor

Indefinite Integral - Basic Integration Rules, Problems, Formulas, Trig Functions, Calculus

1 rating

Comprehensive guide to indefinite integrals covering basic rules, formulas, and integration techniques for various function types, with numerous examples and practice problems.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

A Vision of Linear Algebra

1 rating

Explore Professor Strang's innovative approach to linear algebra, covering key concepts like column space, eigenvalues, and matrix factorizations through a series of concise, insightful videos.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

The Organic Chemistry Tutor

Calculus 1 - Integration & Antiderivatives

1 rating

Learn integration basics, including antiderivatives, power rule, and u-substitution. Master techniques for polynomial, radical, exponential, trigonometric, and logarithmic functions.

• YouTube
• 40 minutes
• Self-Paced
• Free Video

Simple Snippets

Digital Electronics and Logic Design Full Course - Boolean Algebra, Logic Gates, K-Maps and Circuits

1 rating

Master Boolean algebra, logic gates, K-maps, and combinational circuits through comprehensive examples, truth tables, and practice problems for CS and electronics students.

• YouTube
• 6 hours 57 minutes
• Self-Paced
• Free Video

Mark Newman

Understand the Fourier Series

1 rating

Dive into signal processing fundamentals through visual exploration of Fourier Series, complex numbers, and convolution techniques for building signals from sine waves.

• YouTube
• 2 hours 24 minutes
• Self-Paced
• Free Video

Derivatives: a guide to calculation

Dive into the techniques and rules for calculating derivatives of any function, with examples, visuals, and digital tools like Geogebra, Wolfram Alpha, and ChatGPT to enhance understanding and application.

• Coursera
• 5 hours 29 minutes
• Self-Paced
• Paid Course

Pricing Options with Mathematical Models

40 ratings at Coursera

Explore mathematical models for pricing options and financial derivatives, covering discrete and continuous-time models, stochastic calculus, and applications in risk management and fixed income markets.

• Coursera
• 2 days 21 hours 9 minutes
• Self-Paced
• Paid Course

Math 0-1: Calculus for Data Science & Machine Learning

1577 ratings at Udemy

A Casual Guide for Artificial Intelligence, Deep Learning, and Python Programmers

• Udemy
• 14 hours 29 minutes
• Self-Paced
• Paid Course

Math for Data Science Masterclass

1555 ratings at Udemy

Learn about probability, statistics, and more using the mathematics that are foundational to the field of data science.

• Udemy
• 16 hours 7 minutes
• Self-Paced
• Paid Course

Career Certificate

Linear Algebra for Data Science Using Python

33 ratings at Coursera

Explore data science foundations through Python, covering linear algebra concepts, matrix operations, and regression models. Gain practical skills for analyzing large datasets and solving real-world problems.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

Machine Learning Basics

93 ratings at Coursera

Explore fundamental machine learning concepts, including k-Nearest Neighbors, Linear Regression, and Logistic Regression. Gain practical skills for data analysis and predictive modeling.

• Coursera
• 14 hours 57 minutes
• Self-Paced
• Paid Course

Statistics for Data Analysis Using Python

1536 ratings at Udemy

Learn Python from Basics • Descriptive, Inferential Statistics • Plots for Data Visualization • Data Science

• Udemy
• 15 hours 58 minutes
• Self-Paced
• Paid Course

Calculus 1 with the Math Sorcerer

1504 ratings at Udemy

The ULTIMATE Calculus 1 Course! Hundreds of Videos and Tons of Assignments with Solutions:)

• Udemy
• 16 hours 20 minutes
• Self-Paced
• Paid Course

Introduction to Linear Algebra and Python

16 ratings at Coursera

Learn linear algebra fundamentals and Python programming for data science applications, covering matrices, vector equations, and real-world problem-solving techniques.

• Coursera
• 12 hours 2 minutes
• Self-Paced
• Paid Course