Convergence Courses and Certifications

Professor Leonard

Calculus 2 - Absolute Convergence, Ratio Test and Root Test for Series

Explore absolute convergence, ratio test, and root test for series in this comprehensive lecture, enhancing your understanding of advanced calculus concepts.

• YouTube
• 1 hour 46 minutes
• On-Demand
• Free Video

Professor Leonard

Calculus 2 - Using the Integral Test for Convergence-Divergence of Series, P-Series

Learn to apply the Integral Test to determine series convergence/divergence, with a focus on P-Series. Gain practical skills for analyzing infinite series in calculus.

• YouTube
• 1 hour 12 minutes
• On-Demand
• Free Video

Mathematical Methods for Data Analysis

6 ratings at edX

Learn mathematical methods for data analysis including mathematical formulations and computational methods. Some well-known machine learning algorithms such as k-means are introduced in the examples.

• edX
• 8 weeks, 6-10 hours a week
• On-Demand
• Free Online Course (Audit)

Stanford Seminar - Convergence Drives New Ideas

Joseph DeSimone explores the intersection of science, industry, and innovation, discussing how 3D manufacturing could revolutionize production and healthcare, while emphasizing the importance of convergence and diversity in driving new ideas.

• YouTube
• 57 minutes
• On-Demand
• Free Video

Mastering Chef the Devops Way by School of DevOps®

77 ratings at Udemy

Learn to write Infrastructure as a Code and manage it at scale with Chef

• Udemy
• 6 hours 23 minutes
• On-Demand
• Paid Course

Discrete Stochastic Processes

This course aims to help students acquire both the mathematical principles and the intuition necessary to create, analyze, and understand insightful models for a broad range of Discrete stochastic processes.

• MIT OpenCourseWare
• 33 hours
• On-Demand
• Free Video

Calculus 2, part 2 of 2: Sequences and series

25 ratings at Udemy

Single variable Calculus: sequences and series of numbers and of real-valued functions of one real variable

• Udemy
• 2 days 12 hours 38 minutes
• On-Demand
• Paid Course

Coursera

Model Training & Evaluation

Master machine learning model training and evaluation through PyTorch practice, exploring mini-batch training, learning-rate schedulers, loss curve analysis, and class-imbalance techniques.

• Coursera
• 2 hours 35 minutes
• On-Demand
• Paid Course

Real Analysis

Explore mathematical analysis fundamentals: convergence, continuity, differentiability, and Riemann integral. Develop abstract thinking and proof construction skills while studying real numbers and limit operations.

• MIT OpenCourseWare
• On-Demand
• Free Online Course

Real Analysis

Master rigorous mathematical proof techniques while exploring real numbers, limits, series, metric spaces, differentiation, and integration in this foundational analysis program.

• MIT OpenCourseWare
• On-Demand
• Free Online Course

Calculus 1C: Coordinate Systems & Infinite Series

Dive into coordinate systems, curve calculus, and infinite series, mastering Taylor polynomials and convergence properties in this MIT calculus course.

• MITx Online
• 6 weeks, 5-10 hours a week
• On-Demand
• Free Online Course

Michael Penn

A Periodically Perturbed Harmonic Series - Convergence Analysis

Explore the convergence of a periodically perturbed harmonic series through rigorous mathematical analysis and proof techniques.

• YouTube
• 23 minutes
• On-Demand
• Free Video

3Blue1Brown

Taylor Series

Explore the power of Taylor polynomials for approximations and analysis, covering cos(x), e^x, geometric interpretations, and convergence issues in this animated math lesson.

• YouTube
• 22 minutes
• On-Demand
• Free Video

Wrath of Math

Real Analysis - Complete Course with Proofs and Applications

Master rigorous foundations of real analysis including sequences, limits, continuity, compactness, and Riemann integration through detailed proofs and epsilon-delta definitions.

• YouTube
• 16 hours 58 minutes
• On-Demand
• Free Video

Metric spaces and continuity

This free course contains an introduction to metric spaces and continuity. The key idea is to use three particular properties of the Euclidean distance as the basis for defining what is meant by a ...

• OpenLearn
• 16 hours
• On-Demand
• Free Certificate