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Real Analysis courses 41

Learn Real Analysis online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.

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Massachusetts Institute of Technology

MIT 18.100A Real Analysis, Fall 2020

Instructor: Dr. Casey Rodriguez View the complete course: http://ocw.mit.edu/courses/18-100a-real-analysis-fall-2020/ This course covers the fundamentals of mathematical analysis: convergence of sequences and series, continuity, differentiability, Riemann integral, sequences and series of functions…

Video playlist
  • YouTube
  • 25 videos, 30 hours
  • Self-paced
  • Free video

Johns Hopkins University

Developing Data Products

4.62,267 ratings

A data product is the production output from a statistical analysis. Data products automate complex analysis tasks or use technology to expand the utility of a data informed model, algorithm or inference. This course covers the basics of creating data products using Shiny, R packages, and interacti…

Partner
  • Coursera
  • 10 hours
  • Self-paced
  • Paid certificate

Massachusetts Institute of Technology

MIT 18.102 Introduction to Functional Analysis, Spring 2021

MIT 18.102 Introduction to Functional Analysis, Spring 2021 Instructor: Dr. Casey Rodriguez View the complete course: https://ocw.mit.edu/courses/18-102-introduction-to-functional-analysis-spring-2021/ Functional analysis helps us study and solve both linear and nonlinear problems posed on a normed…

Video playlist
  • YouTube
  • 23 videos, 30 hours
  • Self-paced
  • Free video

Massachusetts Institute of Technology

MIT 18.100B Real Analysis, Spring 2025

Instructor: Tobias Holck Colding View the complete course: https://ocw.mit.edu/courses/18-100b-real-analysis-spring-2025/ YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP62Ie7F_tTAhhXoX5_Cl8meG This course gives an introduction to analysis, and the goal is twofold: 1. To learn ho…

Video playlist
  • YouTube
  • 25 videos, 33 hours
  • Self-paced
  • Free video

Princeton University

Analytic Combinatorics

4.676 ratings

Analytic Combinatorics teaches a calculus that enables precise quantitative predictions of large combinatorial structures. This course introduces the symbolic method to derive functional relations among ordinary, exponential, and multivariate generating functions, and methods in complex analysis fo…

Partner
  • Coursera
  • 17 hours
  • Self-paced
  • Paid certificate

3Blue1Brown

How (and why) to take a logarithm of an image

Escher's Print Gallery, and the tour of complex analysis it invites. Explore our virtual career fair: https://3b1b.co/talent Join channel supporters to see videos early: https://3b1b.co/support An equally valuable form of support is to share the videos. Home page: https://www.3blue1brown.com Origin…

Free video
  • YouTube
  • 45 minutes
  • Self-paced
  • Free video

Massachusetts Institute of Technology

MIT 18.S190 Introduction To Metric Spaces, IAP 2023

Instructor: Paige Bright View the complete course: https://ocw.mit.edu/courses/18-s190-introduction-to-metric-spaces-january-iap-2023/ How do we go from real analysis on Euclidean space to more general settings? We use metric spaces! In this six-lecture course we develop the general theory of metri…

Video playlist
  • YouTube
  • 6 videos, 7 hours
  • Self-paced
  • Free video

IBM

Vector Databases: An Introduction with Chroma DB

4.652 ratings

Vector databases provide the solid foundation required by large language models to deliver AI-powered similarity searches and recommendation systems for e-commerce recommendations, cybersecurity fraud detection, medical diagnostics, bioinformatics research, and other complex analysis tasks. Begin l…

Partner
  • Coursera
  • 4 hours/ 1 week
  • Self-paced
  • Paid certificate

MIT OpenCourseWare

Real Analysis

This course covers the fundamentals of mathematical analysis: convergence of sequences and series, continuity, differentiability, Riemann integral, sequences and series of functions, uniformity, and the interchange of limit operations. It shows the utility of abstract concepts through a study of re…

  • MIT
  • Self-paced
  • Free course
  • Advanced

IIT Bombay

Measure theory

Mathematics course by Prof. Inder Kumar Rana.

  • NPTEL
  • 12 weeks, 62 lectures
  • Self-paced
  • Free course
  • Paid certificate
  • Advanced

Wesleyan University

Introduction to Complex Analysis

4.81,095 ratings

This course provides an introduction to complex analysis which is the theory of complex functions of a complex variable. We will start by introducing the complex plane, along with the algebra and geometry of complex numbers, and then we will make our way via differentiation, integration, complex dy…

Partner
  • Coursera
  • 8 weeks of study, 6-12 hours/week
  • Self-paced
  • Paid certificate

MIT OpenCourseWare

Complex Variables with Applications

Complex analysis is a basic tool with a great many practical applications to the solution of physical problems. It revolves around complex analytic functions—functions that have a complex derivative. Unlike calculus using real variables, the mere existence of a complex derivative has strong implica…

  • MIT
  • Self-paced
  • Free course
  • Advanced

IIT Kanpur

Complex Analysis

Mathematics course by Prof. Kaushik Bal.

  • NPTEL
  • 12 weeks, 31 lectures
  • Self-paced
  • Free course
  • Paid certificate
  • Intermediate

University of Colorado Boulder

Computational Vision

4.467 ratings

In this course, we will expand on vision as a cognitive problem space and explore models that address various vision tasks. We will then explore how the boundaries of these problems lead to a more complex analysis of the mind and the brain and how these explorations lead to more complex computation…

Partner
  • Coursera
  • 8 hours
  • Self-paced
  • Paid certificate

MIT OpenCourseWare

Introduction to Functional Analysis

This is a undergraduate course. It will cover normed spaces, completeness, functionals, Hahn-Banach theorem, duality, operators; Lebesgue measure, measurable functions, integrability, completeness of L-p spaces; Hilbert space; compact, Hilbert-Schmidt and trace class operators; as well as spectral…

  • MIT
  • Self-paced
  • Free course
  • Advanced

University of Colorado Boulder

Applying Systems Engineering to the Design Process

4.843 ratings

In this course, you will learn what a systems engineer does. Following the conceptual foundations from The Need for Systems Engineering, you will perform requirements analysis and functional analysis on engineering programs. You will learn how to perform a trade study using a methodical, quantitati…

Partner
  • Coursera
  • 5 weeks, 4-5 hours/week
  • Self-paced
  • Paid certificate

MIT OpenCourseWare

Number Theory I

This is the first semester of a one-year graduate course in number theory covering standard topics in algebraic and analytic number theory. At various points in the course, we will make reference to material from other branches of mathematics, including topology, complex analysis, representation th…

  • MIT
  • Self-paced
  • Free course
  • Advanced

MIT OpenCourseWare

Introduction to Functional Analysis

Functional analysis helps us study and solve both linear and nonlinear problems posed on a normed space that is no longer finite-dimensional, a situation that arises very naturally in many concrete problems. Topics include normed spaces, completeness, functionals, the Hahn-Banach Theorem, duality,…

  • MIT
  • Self-paced
  • Free course
  • Advanced

Case Western Reserve University

Mathematical Thinking for Advanced Mathematics

The objective of this course is to teach the mathematical thinking processes that are used in all college-level math-theory courses (such as discrete math, abstract algebra, and real analysis, for example). The goal is to reduce the time and frustration involved in learning such courses and to prov…

Partner
  • Coursera
  • 8 weeks of study, 3-4 hours per week
  • Self-paced
  • Paid certificate

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