Mathematics for Data Science

Higher School of Economics via Coursera Specialization

Coursera Specialization based on 0 ratings

Likes

Overview

The course “Mathematics for Data Science” provides a foundational understanding of the essential mathematical concepts underpinning data science and machine learning. Designed for beginners and those seeking to strengthen their quantitative skills, the course covers key areas such as linear algebra, calculus, probability, and statistics, all critical for analyzing data and developing algorithms. Participants will explore vectors, matrices, eigenvalues, derivatives, gradients, and optimization techniques, learning how these mathematical tools are applied to solve complex data science problems. Emphasis is placed...

Syllabus

Course 1: Discrete Math and Analyzing Social Graphs- Offered by HSE University. The main goal of this course is to introduce topics in Discrete Mathematics relevant to Data Analysis. We will ... Enroll for free.Course 2: Calculus and Optimization for Machine Learning- Offered by HSE University. Hi! Our course aims to provide necessary background in Calculus sufficient for up-following Data Science courses. ... Enroll for free.Course 3: First Steps in Linear Algebra for Machine Learning- Offered by HSE University. The main goal of the course is to explain the main concepts of linear algebra that are used in data analysis and ... Enroll for free.Course 4: Probability Theory, Statistics and Exploratory Data Analysis- Offered by HSE University. Exploration of Data Science requires certain background in probability and statistics. This course introduces you ... Enroll for free.