Coursera

Blockchain and Cryptocurrency Explained (Coursera)

Offered by University of Michigan,
Blockchain and Cryptocurrency Explained (Coursera)

The sudden rise in the value of Bitcoin and other cryptocurrencies, and its subsequent decline, focused the world’s attention on cryptocurrencies as a means of payment. Blockchain technology powers Bitcoin and has been hyped as the next new, transformative technology. In this course, we first discuss the technical underpinnings of blockchain and review key concepts such as decentralization and consensus algorithms.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

We then examine blockchain as an asset and review the dynamics of the cryptocurrency markets.
Finally, we examine blockchain as a business solution, with a focus on understanding business cases in which blockchain does and does not make sense.

Course 2 of 4 in the Financial Technology (Fintech) Innovations Specialization.

What You Will Learn

  • Explain how blockchain works.
  • Articulate the key technical aspects, such as decentralization and consensus algorithms.
  • Describe the strengths and weaknesses of cryptocurrency as an asset and a payment mechanism.
  • Evaluate tradeoffs of blockchain as a business solution.

Syllabus

WEEK 1: Introduction
WEEK 2: Introduction to Blockchain and Crypto
WEEK 3: Blockchain as an Asset
WEEK 4: Blockchain as a Business

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

An Introduction to Cryptography (Coursera) Coursera
University of Leeds

An Introduction to Cryptography (Coursera)

Computer Science

Cryptography is an essential part of secure but accessible communication that's critical for our everyday life and organisations use it to protect their privacy and keep their conversations and data confidential. This course provides a comprehensive introduction to the fascinating world of cryptography, covering both historical cyphers and modern-day cryptographic techniques.

Nov 16th 2026
2 Weeks
Cryptography Algorithms Encryption
Details
Big Data Analysis with Scala and Spark (Coursera) Coursera
École Polytechnique Fédérale de Lausanne

Big Data Analysis with Scala and Spark (Coursera)

CS: Theory CS: Programming

Manipulating big data distributed over a cluster using functional concepts is rampant in industry, and is arguably one of the first widespread industrial uses of functional ideas. This is evidenced by the popularity of MapReduce and Hadoop, and most recently Apache Spark, a fast, in-memory distributed collections framework written in Scala. In this course, we'll see how the data parallel paradigm can be extended to the distributed case, using Spark throughout.

Nov 9th 2026
4 Weeks
Programming Algorithms SQL
Details
Machine Learning for Accounting with Python (Coursera) Coursera
University of Illinois at Urbana-Champaign

Machine Learning for Accounting with Python (Coursera)

Data Science

This course, Machine Learning for Accounting with Python, introduces machine learning algorithms (models) and their applications in accounting problems. It covers classification, regression, clustering, text analysis, time series analysis. It also discusses model evaluation and model optimization. This course provides an entry point for students to be able to apply proper machine learning models on business related datasets with Python to solve various problems.

Nov 16th 2026
5-12 Weeks
Algorithms Machine Learning Clustering
Details
Information Theory (Coursera) Coursera
The Chinese University of Hong Kong

Information Theory (Coursera)

CS: Information & Technology

At the completion of this course, the student should be able to: demonstrate knowledge and understanding of the fundamentals of information theory; appreciate the notion of fundamental limits in communication systems and more generally all systems; develop deeper understanding of communication systems; apply the concepts of information theory to various disciplines in information science.

Nov 2nd 2026
13-24 Weeks
Math Network Algorithms
Details
Cluster Analysis in Data Mining (Coursera) Coursera
University of Illinois at Urbana-Champaign

Cluster Analysis in Data Mining (Coursera)

Statistics & Data Analysis Data Science

Discover the basic concepts of cluster analysis, and then study a set of typical clustering methodologies, algorithms, and applications. This includes partitioning methods such as k-means, hierarchical methods such as BIRCH, and density-based methods such as DBSCAN/OPTICS. Moreover, learn methods for clustering validation and evaluation of clustering quality. Finally, see examples of cluster analysis in applications.

Nov 2nd 2026
4 Weeks
Algorithms Clustering Data Mining
Details
Algorithmic Thinking (Part 2) (Coursera) Coursera
Rice University

Algorithmic Thinking (Part 2) (Coursera)

CS: Theory

Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language. This two-part class is designed to train students in the mathematical concepts and process of "Algorithmic Thinking", allowing them to build simpler, more efficient solutions to computational problems.

Nov 2nd 2026
4 Weeks
Python Computing Algorithms
Details
Web3 and Blockchain Fundamentals (Coursera) Coursera
INSEAD

Web3 and Blockchain Fundamentals (Coursera)

Security & Networking

There is a lot of hype around Web3 and blockchain. As with any disruptive technology, there are many competing sources of information. But if we look beyond the hype and mania—not to mention the fear, uncertainty, and doubt—we see something profound happening. We are witnessing one of the largest transformations of wealth in human history—from paper-based analog assets to digital ones. Blockchain represents the first native digital medium for value, and is foundational to the next generation of the Internet—also known as Web3.

Nov 9th 2026
1 Week
Digital Transformation Blockchain Smart Contract
Details
Object Oriented Programming in Java (Coursera) Coursera
University of California, San Diego

Object Oriented Programming in Java (Coursera)

CS: Software Engineering CS: Programming

Welcome to our course on Object Oriented Programming in Java using data visualization. People come to this course with many different goals -- and we are really excited to work with all of you! Some of you want to be professional software developers, others want to improve your programming skills to implement that cool personal project that you’ve been thinking about, while others of you might not yet know why you’re here and are trying to figure out what this course is all about.

Nov 2nd 2026
5-12 Weeks
Programming Java Algorithms
Details