#
Best of Coursera

Top **Stanford University** Courses

These are the **top 27 Stanford University**
courses and offerings found from analyzing all discussions on
Reddit that mention any
Coursera course.

#1

Machine Learning

Machine learning is the science of getting computers to act without being explicitly programmed.

Machine learning is the science of getting computers to act without being explicitly programmed.

Stanford University

Andrew Ng

Andrew Ng

13 reddit posts

1193 mentions

1193 mentions

#2

Cryptography I

Cryptography is an indispensable tool for protecting information in computer systems.

Cryptography is an indispensable tool for protecting information in computer systems.

Stanford University

Dan Boneh

Dan Boneh

34 reddit posts

373 mentions

373 mentions

#3

Algorithms
Specialization

Algorithms are the heart of computer science, and the subject has countless practical applications as well as intellectual depth.

Algorithms are the heart of computer science, and the subject has countless practical applications as well as intellectual depth.

Stanford University

Tim Roughgarden

Tim Roughgarden

1 reddit posts

189 mentions

189 mentions

#4

Introduction to Mathematical Thinking

Learn how to think the way mathematicians do – a powerful cognitive process developed over thousands of years.

Learn how to think the way mathematicians do – a powerful cognitive process developed over thousands of years.

Stanford University

Dr. Keith Devlin

Dr. Keith Devlin

0 reddit posts

109 mentions

109 mentions

#5

Introduction to Logic

This course is an introduction to Logic from a computational perspective.

This course is an introduction to Logic from a computational perspective.

Stanford University

Michael Genesereth

Michael Genesereth

2 reddit posts

81 mentions

81 mentions

#6

Probabilistic Graphical Models
Specialization

Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other.

Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other.

Stanford University

Daphne Koller

Daphne Koller

3 reddit posts

40 mentions

40 mentions

#7

Game Theory

Popularized by movies such as "A Beautiful Mind," game theory is the mathematical modeling of strategic interaction among rational (and irrational) agents.

Popularized by movies such as "A Beautiful Mind," game theory is the mathematical modeling of strategic interaction among rational (and irrational) agents.

Stanford University

Matthew O. Jackson

Matthew O. Jackson

1 reddit posts

26 mentions

26 mentions

#8

Probabilistic Graphical Models 1

Representation

Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other.

Representation

Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other.

Stanford University

Daphne Koller

Daphne Koller

2 reddit posts

22 mentions

22 mentions

#9

Child Nutrition and Cooking

Eating patterns that begin in childhood affect health and well-being across the lifespan.

Eating patterns that begin in childhood affect health and well-being across the lifespan.

Stanford University

Maya Adam, MD

Maya Adam, MD

7 reddit posts

19 mentions

19 mentions

#10

Writing in the Sciences

This course teaches scientists to become more effective writers, using practical examples and exercises.

This course teaches scientists to become more effective writers, using practical examples and exercises.

Stanford University

Dr. Kristin Sainani

Dr. Kristin Sainani

2 reddit posts

31 mentions

31 mentions

#11

Stanford Introduction to Food and Health

Around the world, we find ourselves facing global epidemics of obesity, Type 2 Diabetes and other predominantly diet-related diseases.

Around the world, we find ourselves facing global epidemics of obesity, Type 2 Diabetes and other predominantly diet-related diseases.

Stanford University

Maya Adam, MD

Maya Adam, MD

1 reddit posts

19 mentions

19 mentions

#12

Divide and Conquer, Sorting and Searching, and Randomized Algorithms

The primary topics in this part of the specialization are: asymptotic ("Big-oh") notation, sorting and searching, divide and conquer (master method, integer and matrix multiplication, closest pair), and randomized algorithms (QuickSort, contraction algorithm for min cuts).

The primary topics in this part of the specialization are: asymptotic ("Big-oh") notation, sorting and searching, divide and conquer (master method, integer and matrix multiplication, closest pair), and randomized algorithms (QuickSort, contraction algorithm for min cuts).

Stanford University

Tim Roughgarden

Tim Roughgarden

1 reddit posts

12 mentions

12 mentions

#13

Social and Economic Networks

Models and Analysis

Learn how to model social and economic networks and their impact on human behavior.

Models and Analysis

Learn how to model social and economic networks and their impact on human behavior.

Stanford University

Matthew O. Jackson

Matthew O. Jackson

0 reddit posts

8 mentions

8 mentions

#14

Understanding Einstein

The Special Theory of Relativity

In this course we will seek to “understand Einstein,” especially focusing on the special theory of relativity that Albert Einstein, as a twenty-six year old patent clerk, introduced in his “miracle year” of 1905.

The Special Theory of Relativity

In this course we will seek to “understand Einstein,” especially focusing on the special theory of relativity that Albert Einstein, as a twenty-six year old patent clerk, introduced in his “miracle year” of 1905.

Stanford University

Larry Randles Lagerstrom

Larry Randles Lagerstrom

0 reddit posts

7 mentions

7 mentions

#15

Game Theory II

Advanced Applications

Popularized by movies such as "A Beautiful Mind", game theory is the mathematical modeling of strategic interaction among rational (and irrational) agents.

Advanced Applications

Popularized by movies such as "A Beautiful Mind", game theory is the mathematical modeling of strategic interaction among rational (and irrational) agents.

Stanford University

Matthew O. Jackson

Matthew O. Jackson

0 reddit posts

5 mentions

5 mentions

#16

Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming

The primary topics in this part of the specialization are: greedy algorithms (scheduling, minimum spanning trees, clustering, Huffman codes) and dynamic programming (knapsack, sequence alignment, optimal search trees).

The primary topics in this part of the specialization are: greedy algorithms (scheduling, minimum spanning trees, clustering, Huffman codes) and dynamic programming (knapsack, sequence alignment, optimal search trees).

Stanford University

Tim Roughgarden

Tim Roughgarden

0 reddit posts

6 mentions

6 mentions

#17

Giving 2.0

The MOOC

A philanthropist is anyone who gives anything — time, money, experience, skills, and networks — in any amount, to create a better world.

The MOOC

A philanthropist is anyone who gives anything — time, money, experience, skills, and networks — in any amount, to create a better world.

Stanford University

Laura Arrillaga-Andreessen

Laura Arrillaga-Andreessen

1 reddit posts

0 mentions

0 mentions

#18

Graph Search, Shortest Paths, and Data Structures

The primary topics in this part of the specialization are: data structures (heaps, balanced search trees, hash tables, bloom filters), graph primitives (applications of breadth-first and depth-first search, connectivity, shortest paths), and their applications (ranging from deduplication to social n...

The primary topics in this part of the specialization are: data structures (heaps, balanced search trees, hash tables, bloom filters), graph primitives (applications of breadth-first and depth-first search, connectivity, shortest paths), and their applications (ranging from deduplication to social n...

Stanford University

Tim Roughgarden

Tim Roughgarden

0 reddit posts

4 mentions

4 mentions

#19

Probabilistic Graphical Models 3

Learning

Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other.

Learning

Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other.

Stanford University

Daphne Koller

Daphne Koller

0 reddit posts

1 mentions

1 mentions

#20

Probabilistic Graphical Models 2

Inference

Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other.

Inference

Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other.

Stanford University

Daphne Koller

Daphne Koller

0 reddit posts

1 mentions

1 mentions

#21

Stanford's Short Course on Breastfeeding

Stanford's Short Course on Breastfeeding was designed for new mothers and the people who support them.

Stanford's Short Course on Breastfeeding was designed for new mothers and the people who support them.

Stanford University

Maya Adam, MD

Maya Adam, MD

1 reddit posts

2 mentions

2 mentions

#22

Health Across the Gender Spectrum

This course offers an intimate, story-based introduction to the experiences of six transgender children and their families.

This course offers an intimate, story-based introduction to the experiences of six transgender children and their families.

Stanford University

Maya Adam, MD

Maya Adam, MD

0 reddit posts

2 mentions

2 mentions

#23

Stories of Infection

This course introduces learners to a variety of infectious diseases using a patient-centered, story-based approach.

This course introduces learners to a variety of infectious diseases using a patient-centered, story-based approach.

Stanford University

Maya Adam, MD

Maya Adam, MD

0 reddit posts

5 mentions

5 mentions

#24

Antibiotic Stewardship

Antimicrobial Stewardship: Improving Clinical Outcomes by Optimization of Antibiotic Practices Internet Enduring Material Sponsored by: Stanford University School of Medicine Presented by: The Division of Infectious Diseases and Geographic Medicine at Stanford University School of Medicine NOTE: ...

Antimicrobial Stewardship: Improving Clinical Outcomes by Optimization of Antibiotic Practices Internet Enduring Material Sponsored by: Stanford University School of Medicine Presented by: The Division of Infectious Diseases and Geographic Medicine at Stanford University School of Medicine NOTE: ...

Stanford University

Stan Deresinski, MD

Stan Deresinski, MD

1 reddit posts

0 mentions

0 mentions

#25

Shortest Paths Revisited, NP-Complete Problems and What To Do About Them

The primary topics in this part of the specialization are: shortest paths (Bellman-Ford, Floyd-Warshall, Johnson), NP-completeness and what it means for the algorithm designer, and strategies for coping with computationally intractable problems (analysis of heuristics, local search).

The primary topics in this part of the specialization are: shortest paths (Bellman-Ford, Floyd-Warshall, Johnson), NP-completeness and what it means for the algorithm designer, and strategies for coping with computationally intractable problems (analysis of heuristics, local search).

Stanford University

Tim Roughgarden

Tim Roughgarden

0 reddit posts

1 mentions

1 mentions

#26

Organizational Analysis

In this introductory, self-paced course, you will learn multiple theories of organizational behavior and apply them to actual cases of organizational change.

In this introductory, self-paced course, you will learn multiple theories of organizational behavior and apply them to actual cases of organizational change.

Stanford University

Daniel A. McFarland

Daniel A. McFarland

0 reddit posts

1 mentions

1 mentions

#27

Love as a Force for Social Justice

The objectives of this course are: -To introduce participants to different concepts of love, to empower them to be conscious of the power of love and the possibility of practicing it in everyday life, and to highlight in particular the idea of love as a force for social justice.

The objectives of this course are: -To introduce participants to different concepts of love, to empower them to be conscious of the power of love and the possibility of practicing it in everyday life, and to highlight in particular the idea of love as a force for social justice.

Stanford University

Anne Firth Murray

Anne Firth Murray

0 reddit posts

3 mentions

3 mentions