Computer Science is an exciting and growing field that touches our everyday life in countless ways. Computer Scientists design and develop technology and systems used in almost all industries and enterprises. They create software and hardware for the programmes we encounter on daily basis from the cars we drive, to the movies we watch, to how we communicate etc.
It is therefore no doubt that Computing jobs are among the highest paid with highest job satisfaction rates. According to the Bureau of Labor Statistics, the projected rate of growth for all computer-based jobs between May 2018 and May 2028 is 12%, which is more than any other occupation. Actually there are more computing jobs than qualified people to fill them and we are a long way from meeting that need.
For those looking to enter this rewarding field of Computer Science, online education platforms like Coursera are a boon. One can use Coursera to gain a wide range of skills, from technical skills like programming to non-technical skills like logic and problem-solving through a diverse collection of courses and specializations offered by most prestigious Universities across the globe. One can create own self-paced Computer Science degree curriculum to suit one’s requirements and knowledge goals. In fact, an excellent way to do this is to join Coursera’s annual subscription plan Coursera Plus, which allows access to more than 90% of their catalog at a fee of $399 per year. This translates to University backed top-rated Computer Science education at a cost of just $1.09 per day.
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In this article, let us see what subjects and topics you can pick to create your own Computer Science education curriculum with Coursera Plus. Core subjects in Computer Science include theory of computation, logic, mathematics, data structures, algorithms design, database systems, programming basics. Then there are numerous specialist computer science modules ranging from software engineering to artificial intelligence to cyber security to web development and more. There are several Coursera courses and specializations that will help you build foundation of knowledge in these subjects, along with problem solving and logical thinking skills that will give you good competitive advantage in your career.
You can easily gain skills in following Computer Science subjects with Coursera Plus:
- Math Foundations
- Algebra
- Discrete Mathematics
- Calculus
- Statistics
- Programming Fundamentals
- Computer Systems
- Data Structures
- Algorithms
- Databases
- Communications and Networking
- Web Development
- Operating Systems
- Software Engineering
- Data Mining and Machine Learning
- Cyber Security
- Blockchain
- Cyptocurrency
Here’re our best picks on these topics.
Math Foundations
Introduction to Discrete Mathematics for Computer Science by UC San Diego
Discrete Mathematics is the language of Computer Science. This specialization created by University of California San Diego and National Research University – Higher School of Economics (HSE) helps learners understand the foundations of discrete mathematics and practice applying it through mathematical proofs and Python code. To make the process of learning enjoyable, several carefully designed interactive puzzles are used through the course of the program. Several programming examples, problems, and projects are also included.
The specialization is structured as a series of 5 courses that focus on the basic notions and results such as combinatorics, number theory, probability and graphs that are universally needed. Following topics are covered:
- Important tools used in discrete mathematics: induction, recursion, logic, invariants, examples, optimality
- Standard Combinatorial settings
- Probability theory
- Graph theory
- Ramsey theory
- Number theory and Cryptography
- Proof techniques
- The travelling salesman problem
Level : Beginner
Duration : 6 months, 5 hours per week
Rating : 4.6
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Introduction to Calculus by University of Sydney
This course offered by the University of Sydney introduces learners to the concepts of Calculus which forms the foundations for applications of mathematics in the field of Computer Science and Engineering. The course is structured as 5 weekly modules that focus on the key ideas and historical motivation for calculus. Well organised theory lessons with a multitude of practice exercises at the end of each module ensure that the course retains a good balance between theory and application.
Following topics are covered in the 5 modules of the course:
- Key ideas of Precalculus, including the manipulation of equations
- Elementary Functions
- Methodology of Tangents and Limits
- Differential Calculus
- Properties and applications of the Derivative
- Integral Calculus
- Fundamental Theorem of Calculus
Level : Intermediate
Duration : 59 hours
Rating : 4.8
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Basic Statistics by University of Amsterdam
This course is part of a specialization that covers all the methods and statistics topics typically offered in a bachelor program in any social or behavioral field of study. The course focuses on the basics of statistics. Participants learn not just how to calculate statistics (using freely available statistical software), but also how to evaluate them. The course has abundant intuitive examples to deepen the understanding of concepts taught.
There are 8 weekly modules in the course that cover the following topics:
- Basic concepts of Descriptive Statistics
- What cases and variables are and how to order them
- How to compute measures of central tendency (mean, median and mode)
- How to compute dispersion (like range, interquartile range, variance and standard deviation)
- How to assess relationships between variables
- Concepts of correlation and regression
- Probability theory and the rules for calculating with probabilities
- Probability distributions
- Sampling distributions
- Methods of Inferential statistics
- Confidence intervals
- Significance tests
Level : Beginner
Duration : 27 hours
Rating : 4.6
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Mathematics for Data Science by National Research University Higher School of Economics
This specialization covers a wide range of mathematical tools and how they arise in Data Science. It is organised as a series of four courses that focus on the foundational topics of Discrete Mathematics, Calculus, Linear Algebra and Probability. The courses are a blend of theoretical concepts and practical examples with discussions of problems that we generally encounter in Data Science and how to solve them in Python.
Topics covered in this specialization include:
- Introduction to Combinatorics
- Probability Theory
- Graphs of social networks
- Introduction to Calculus, including functional mappings, differentiability and integration
- Basic optimisation
- Concepts of linear algebra and matrix analysis
- Statistics
- Conditional probability
Level : Beginner
Duration : 6 months, 4 hours per week
Rating : 4.3
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Fundamentals of Computer Science
Introduction to Computer Science and Programming by University of London
This specialization by University of London is a great start in the fundamental concepts of Computer Science. It covers topics ranging from basic computing principles to the mathematical foundations required for computer science. Participants learn how computers work, how to create 2D and interactive graphics using Javascript and how to use coding to solve puzzles and problems. They also get a handle on the math side of things and learn numerical and computational tools that are essential for the problem solving and modelling stages of computer science.
There are following 3 courses in this specialization:
- Introduction to Computer Programming
- How Computers Work
- Mathematics for Computer Science
The course content is very engaging with a range of activities such as solving mathematical puzzles using interactive techniques that make learning easy and fun.
Level : Beginner
Duration : 4 months, 5 hours per week
Rating : 4.3
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Programming
Python for Everybody by University of Michigan
This specialization created by University of Michigan is one of the highest rated courses on programming and has seen close to a million student enrolments so far. It describes the basics of Python programming language. Learners learn the fundamentals and core programming tools such as functions, loops, data structures, networked application program interfaces, and databases using Python. They also learn important data skills like developing programs to gather, clean, analyze, and visualize data, web scraping and working with databases etc.
There are 5 courses in this specialization:
- Getting Started with Python
- Python Data Structures
- Using Python to Access Web Data
- Using Databases with Python
- Capstone: Retrieving, Processing, and Visualizing Data with Python
Level : Beginner
Duration : 3 months, 11 hours per week
Rating : 4.8
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Java Programming and Software Engineering Fundamentals by Duke University
This specialization by Duke University is one of the topmost programs on learning Java programming and has been taken by over 197,000 students on Coursera. Java is one of the most in-demand programming languages and the foundation of the Android operating system. This specialization teaches learners the fundamental concepts of programming in Java and prepares them to write programs to solve complex problems. It is an excellent choice for beginner-level students who want to learn the basics of software development and build a project of their own at the end.
Structured as a series of 5 courses, the content of this program is centred around projects that provide a fun and entertaining way of learning programming and software development skills to solve real-world problems, from designing algorithms to testing and debugging programs etc. The courses in the specialization are as follows:
- Programming Foundations with JavaScript, HTML and CSS
- Java Programming: Solving Problems with Software
- Java Programming: Arrays, Lists, and Structured Data
- Java Programming: Principles of Software Design
- Java Programming: Build a Recommendation System
Level : Beginner
Duration : 5 months, 4 hours per week
Rating : 4.6
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Python 3 Programming by University of Michigan
This is another popular specialization offered by University of Michigan that teaches the fundamentals of programming in Python 3. It comprises of 5 courses that build on one another starting with the basics like variables, conditionals, and loops and then gradually progressing to more advanced topics like keyword parameters, list comprehensions, lambda expressions, and class inheritance.
This is a very hands-on specialization with multiple project opportunities. Learners learn how to inspect and understand APIs and third party libraries to be used with Python 3. They work with three different libraries available for Python 3 (tesseract, pillow and opencv) to create a real-world data-analysis project.
Five courses in the specialization are:
- Python Basics
- Python Functions, Files, and Dictionaries
- Data Collection and Processing with Python
- Python Classes and Inheritance
- Python Project: pillow, tesseract, and opencv
Level : Beginner
Duration : 5 months, 7 hours per week
Rating : 4.6
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Object Oriented Programming in Java by Duke University
This specialization is a collaboration of Duke University and University of California, San Diego. It comprises of 4 courses that teach the fundamentals of object-oriented programming with Java. In addition to Java programming, students learn how to leverage the power of existing Java development environments (BlueJ and Eclipse), how to build graphical user interfaces, and how to use some core algorithms for searching and sorting data.
This is a project centric specialization, with a project work at the end of each course. Through the course of the specialization learners develop four java applications that help them to master Java and object-oriented programming design. Four courses in the specialization are as follows:
- Java Programming: Solving Problems with Software
- Java Programming: Arrays, Lists, and Structured Data
- Object Oriented Programming in Java
- Data Structures and Performance
Level : Beginner
Duration : 5 months, 6 hours per week
Rating : 4.7
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Introduction to Programming in C by Duke University
This specialization by Duke University is a 4 course program that teaches the essential programming fundamentals using C language. Throughout the specialization students learn to write C code to develop algorithms in a systematic way and solve complex problems. So along with programming language concepts learners also gain problem-solving skills.
Following are the four courses in the program:
- Programming Fundamentals
- Writing, Running, and Fixing Code in C
- Pointers, Arrays, and Recursion
- Interacting with the System and Managing Memory
Each course features a series of video lectures, readings and quizzes. There are also several Projects such as writing a sorting algorithm and writing a program to use Monte Carlo simulation for calculating poker hand probabilities.
Level : Beginner
Duration : 5 months, 4 hours per week
Rating : 4.5
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Coding for Everyone: C and C++ by UC Santa Cruz
This specialization by University of California, Santa Cruz is a series of 4 courses that help learners gain programming skills in the foundational languages of C and C++. Not only will you learn to write and debug code in C and C++ but also understand algorithms and how to properly express them.
All courses include ample of exercises where learners practice writing and debugging code, including a practice-intensive final assessment. The courses in the program are:
- C for Everyone: Programming Fundamentals
- C for Everyone: Structured Programming
- C++ For C Programmers, Part A
- C++ For C Programmers, Part B
Level : Beginner
Duration : 6 months, 2 hours per week
Rating : 4.5
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Algorithms & Data Structures
Computer Science: Algorithms, Theory, and Machines by Princeton University
This is one of the most recommended Computer Science courses from Princeton University. It is intended for people who have basic knowledge of Java programming and want a broad introduction to the discipline of Computer Science.
This free course comprises of 10 weekly modules that introduce learners to classic algorithms along with scientific techniques for evaluating performance and classic theoretical models that allow to us address fundamental questions about computation. Students also learn about machine architecture and logic design. Topics covered include:
- History and evolution of Computer Science
- Sorting and Searching algorithms
- Stacks and Queues
- Symbol tables
- Theory of computing
- Turing machines
- Intractability
- Von Neumann machines
- Combinational circuits
- Machine-language programming and its relationship to coding in Java
Level : Intermediate
Duration : 20 hours
Rating : 4.7
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Algorithms, Part I by Princeton University
This is a free course by Princeton University and one of the highest ranked courses with a rating of 4.9 out of 5. It introduces learners to the essential concepts of data structures and algorithms that every programmer needs to know about. The implementations of algorithms are done in Java and there is a lot of emphasis on applications and scientific performance analysis of Java implementations.
There are 6 weekly modules in the course that cover the following topics:
- Union−Find data type and implementations (quick find, quick union, weighted quick union, and weighted quick union with path compression)
- Analyzing the performance of algorithms
- Stacks and Queues
- Elementary sorting methods (selection sort and insertion sort) and a variation of one of them (shellsort)
- Mergesort
- Quicksort
- Priority queues and implementation using the binary heap data structure
- Symbol tables
- Balanced search trees and geometric implementations
- Hash tables
Level : Intermediate
Duration : 54 hours
Rating : 4.9
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Algorithms, Part II by Princeton University
This is the second course in the series of Algorithms courses offered by Princeton University. It is a free course, highly acclaimed and excellent continuation of the learning of basic data structures and algorithms from Course 1. This course focuses on graph- and string-processing algorithms.
It is structured as 6 weekly modules that cover following topics:
- Undirected graphs
- Classic algorithms for searching a graph—depth-first search and breadth-first search
- Directed graphs and applications
- Minimum spanning trees
- Kruskal’s algorithm and Prim’s algorithm
- Shortest-paths problems
- Maximum flow and Minimum cut problems
- Radix sorts
- Specialized algorithms for symbol tables with string keys
- Substring search
- Regular expressions
- Data compression schemes
- Reductions
- Linear programming
- Intractability
Level : Intermediate
Duration : 63 hours
Rating : 4.9
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Data Structures and Algorithms by UC San Diego
This specialization is offered by the University of California, San Diego and HSE University, Russia. It helps learners master the algorithmic programming techniques. The course content is structured very well and is a good mix of theory and practice, so students learn the algorithms concepts and also implement them in a programming language of their choice. Over the course of the specialization, learners implement about 100 algorithmic coding problems. Two real-world projects: Big Networks and Genome Assembly are also included.
The program comprises of 6 courses covering the following topics:
- Basic algorithmic techniques and ideas for computational problems: sorting and searching, divide and conquer, greedy algorithms, dynamic programming
- Data structures and their implementation
- Algorithms on graphs
- Algorithms on strings
- Advanced algorithms and complexity
Level : Intermediate
Duration : 8 months, 6 hours per week
Rating : 4.6
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Web & Mobile Development
Web Design for Everybody: Basics of Web Development & Coding by University of Michigan
This specialization teaches learners to design and build websites using HTML5, CSS3 and Javascript. The two main goals of this specialization are to impart the necessary technology and tools that enable learners to
- Develop high quality responsive web sites that, work seamlessly on various devices whether mobile, tablet, and large screen browsers
- Build sites that are accessible to a wide audience, including those with visual, audial, physical, and cognitive impairments
There are following 5 courses in this specialization:
- Introduction to HTML5
- Introduction to CSS3
- Interactivity with JavaScript
- Advanced Styling with Responsive Design
- Web Design for Everybody Capstone
In the final capstone project learners build a professional-quality web portfolio demonstrating their knowledge of responsive and accessible web design.
Level : Beginner
Duration : 6 months, 3 hours per week
Rating : 4.7
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Full-Stack Web Development with React by Hong Kong University of Science and Technology
In this specialization participants learn to build complete web and hybrid mobile solutions. Offered by Kong University of Science and Technology (HKUST), this specialization comprises of 4 comprehensive courses that cover front-end web, hybrid mobile app and server-side development for implementing a multi-platform solution.
It starts with front-end frameworks Bootstrap 4 and React. Then it moves to React Native for creating hybrid mobile applications. Later it moves to the server side and covers MongoDB, Node.js and Express framework and communication with the client side through a RESTful API. Finally, everything is brought together in the capstone course where learners design and create their own real-world, fully functional web application.
This is an intermediate level program and assumes learners have some prior knowledge of HTML, CSS and JavaScript.
Level : Intermediate
Duration : 4 months, 9 hours per week
Rating : 4.7
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Web Applications for Everybody by University of Michigan
This specialization is taught by the noted professor at the University of Machigan Dr. Charles Severance (a.k.a. Dr. Chuck). It serves as an introduction to web application development and imparts necessary skills to build dynamic database-backed web sites. It covers HTML, CSS, PHP, MySQL, JavaScript and JQuery.
There are 4 courses in this specialization that feature several assignments and projects where learners develop challenging web apps. Over the course of the specialization, learners develop web and database applications in PHP, using SQL for database creation, as well as functionality in JavaScript, jQuery, and JSON.
The courses in the program are as follows:
- Building Web Applications in PHP
- Introduction to Structured Query Language (SQL)
- Building Database Applications in PHP
- JavaScript, jQuery, and JSON
Level : Intermediate
Duration : 6 months, 5 hours per week
Rating : 4.7
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Responsive Website Development and Design by University of London
This specialization by University of London is a series of 5 comprehensive courses that teach the fundamentals of modern full stack web development, from UX design to front-end coding to custom databases. It covers a full range of technologies, including HTML/CSS, Javascript, and MongoDB.
The specialization includes several assignments and projects that give ample opportunities to learners to practice the skills learned. It also includes a capstone project where learners design and launch a fully-functioning, responsive web application. Course content covers the following topics:
- Key website programming and design languages: HTML, CSS and JavaScript
- Responsive web design principles along with Bootstrap framework
- Reactive / multi-user web applications
- Meteor.js framework
- MongoDB
- Advanced topics, such as APIs, data visualization, and animation
- Collaborative multi-user experiences
- Implementing security features
Level : Beginner
Duration : 7 months, 5 hours per week
Rating : 4.5
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HTML, CSS, and Javascript for Web Developers by Johns Hopkins University
This is a very popular course by Johns Hopkins University and is intended for anyone who wants to begin web development. It covers the basic tools that every web page coder needs to know, including HTML, CSS frameworks and JavaScript.
The course includes 5 weekly modules where you’ll learn the following:
- How to implement modern web pages with HTML and CSS
- How to code responsive web pages
- Twitter Bootstrap with its essential Grid System
- Javascript language features
- How to use Javascript to build a fully functional web application that utilizes Ajax to expose server-side functionality and data to the end user
Level : Beginner
Duration : 40 hours
Rating : 4.8
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Computer Networks & Security
Internet History, Technology, and Security by University of Michigan
In this course Dr. Charles Severance of School of Information at University of Michigan looks at how the internet and the world wide web came to be and how it works from the inside. It sheds light on the workings of network technology and innovations in this field so learners get a better understanding of how they might fit into that innovation.
There are a lot of interviews with pioneers and innovators of technology like the NCSA’s Larry Smarr or Tim Berners-Lee that participants stand to learn greatly from. The course also works to pique a learner’s interest in all things technical like programming, web applications, networking, databases etc.
There are 10 modules in the course that talk about the following:
- History of electronic computing, ranging from Alan Turing to the modern Internet
- The First Internet – NSFNet
- Internets and Packets
- Transport Control Protocol (TCP)
- Application Protocols
- Encrypting and Signing
- Web Security
Level : Beginner
Duration : 15 hours
Rating : 4.8
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Computer Communications by University of Colorado System
This specialization is intended for those who want to make a career in computer network and security. It imparts an introduction to fundamental network architecture concepts and network design alternatives. Learners get an understanding of various network architectures and their impact on cyber security, develop skills and techniques for network protocol design and also gain TCP/IP programming skills.
The specialization is structured as a series of 4 courses which are as follows:
- Fundamentals of Network Communication
- Peer-to-Peer Protocols and Local Area Networks
- Packet Switching Networks and Algorithms
- TCP/IP and Advanced Topics
Level : Intermediate
Duration : 5 months, 3 hours per week
Rating : 4.7
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Cybersecurity Specialization by University of Maryland, College Park
This specialization program offered by University of Maryland is an introduction to Cybersecurity fundamentals. It imparts the knowledge of basic concepts underlying the construction of secure systems, from the hardware to the software to the human-computer interface.
Learners study security and trust from both the hardware and software perspective and learn about the use of cryptography to secure interactions. There are several examples and hands-on exercises that help to develop security-oriented thinking among learners, so they are better equipped to design and build secure systems and defend them against adversaries.
The specialization comprises of following 4 courses and a final Cybersecurity Capstone project:
- Usable Security
- Software Security
- Cryptography
- Hardware Security
Level : Intermediate
Duration : 8 months, 2 hours per week
Rating : 4.4
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Cloud Computing Specialization by University of Illinois at Urbana-Champaign
This specialization offered by University of Illinois is a comprehensive introduction to the cloud computing systems covering Clouds, Distributed Systems, Networking. Students learn about and build distributed and networked systems for clouds and big data. C
The specialization is organized as 6 courses. It starts in the middle layer with Cloud Computing Concepts covering core distributed systems concepts used inside clouds, then moves to the upper layer of Cloud Applications and finally to the lower layer of Cloud Networking. The courses are as follows:
- Cloud Computing Concepts, Part 1
- Cloud Computing Concepts: Part 2
- Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure
- Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud
- Cloud Networking
- Cloud Computing Project
Level : Intermediate
Duration : 8 months, 4 hours per week
Rating : 4.3
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Software Engineering
Software Development Lifecycle by University of Minnesota
This specialization by University of Minnesota imparts the necessary understanding of the underlying context and theory of software development practices. It helps learners master techniques and best practices for traditional and agile software project management. The program discusses four software development philosophies – traditional, secure, agile, and lean, along with workings of exemplary processes within each philosophy, their trade-offs with respect to environmental, organizational, and product constraints and critically analyses each of the methodology.
There are following 4 courses in the specialization:
- Software Development Processes and Methodologies
- Agile Software Development
- Lean Software Development
- Engineering Practices for Building Quality Software
There are multiple fictional case studies included where learners choose a methodology, processes/practices to follow etc. and provide reasons for their choice. This helps to cement the learning.
Level : Intermediate
Duration : 4 months, 4 hours per week
Rating : 4.6
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Software Product Management by University of Alberta
This Software Product Management specialization helps learners master Agile software management practices, so they are able to confidently interact with clients and manage a team of developers. Several hands-on assignments and a final Capstone project in the specialization help learners to practice and apply management techniques to realistic scenarios, share their experiences and learn from the insights of other participants.
There are 6 courses in this program that cover the following:
- Introduction to and role of software product management
- Software development processes
- Agile practices, such as Extreme Programming and Scrum
- Client needs and software requirements
- How to break down and map requirements into plans
- Metrics and reviews to track and improve project progress and software quality
Level : Beginner
Duration : 6 months, 3 hours per week
Rating : 4.7
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Software Design and Architecture by University of Alberta
This specialization is a series of 4 courses that teach how to apply design principles, patterns, and architectures to create reusable and flexible software applications and systems. Following topics are covered in these courses:
- Object-oriented analysis and design
- Communicating designs in a visual notation known as Unified Modelling Language (UML)
- Design patterns (e.g., open-closed, dependency inversion, least knowledge)
- Software architectures, their qualities, and tradeoffs
- Architectures for web applications
- Service-Oriented Architecture (SOA) in two approaches: Web Services (WS) and Representational State Transfer (REST) architecture
During the course of the specialization, learners work on a Java-based Android application that they evaluate and develop throughout the four courses.
Level : Beginner
Duration : 4 months, 3 hours per week
Rating : 4.6
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Blockchain & Cryptocurrency
Bitcoin and Cryptocurrency Technologies by Princeton University
This free course by Princeton University provides an introduction to Bitcoin and Cryptocurrency technologies. Students learn what bitcoin is and how it works on a technical level. They gain conceptual foundations needed to engineer secure software that interacts with the Bitcoin network, and also learn to integrate ideas from Bitcoin in their own projects.
The course is organised as 11 weekly modules that discuss the following topics:
- How does Bitcoin work
- What makes Bitcoin special
- How secure are Bitcoins
- How Bitcoin achieves decentralization
- Mechanics of Bitcoin
- How to store and use Bitcoins
- Bitcoin mining
- How anonymous are Bitcoin users
- The way Bitcoin interacts with politics, and law enforcement and regulation issues
- What determines the price of Bitcoins
- Alternative mining puzzles
- Altcoins and the Cryptocurrency Ecosystem
- Can cryptocurrencies be regulated
- What might the future of Bitcoins hold
Level : Beginner
Duration : 23 hours
Rating : 4.7
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Blockchain Specialization by University at Buffalo
This specialization provides an understanding and working knowledge of the emerging blockchain technology. There are 4 courses in this specialization that discuss a range of essential topics from the cryptographic underpinnings of blockchain technology to enabling decentralized applications on a private Ethereum blockchain platform.
During the course of the specialization students learn the following:
- Basic components of a blockchain, its operations and underlying algorithms
- Programming on the Ethereum blockchain
- Designing, coding and implementing smart contracts
- Developing end-to-end decentralized applications (Dapps) on the blockchain
- Understanding of the broader blockchain ecosystem
- Information about the ongoing specific industry-wide blockchain frameworks
Level : Intermediate
Duration : 4 months, 4 hours per week
Rating : 4.6
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Blockchain Revolution Specialization by INSEAD
This specialization is taught by the world-renowned experts on business innovation and technology Don Tapscott and Alex Tapscott. It provides an introduction to the world of blockchain technology—explaining what blockchain is, how it works, and why it’s revolutionary. It also covers various categories of cryptoassets, and the ways they can be transacted on a blockchain. It includes various industry experts and developers from the Ethereum Foundation, Grid Singularity, Keyless Technologies, and ResonanceX who share their experiences within the blockchain ecosystem.
The specialization comprises of 4 courses that cover following topics:
- Key concepts and design principles for blockchain technology
- How to transact on the blockchain
- Different layers of the blockchain technology stack
- Applications and implications of blockchain within business world
- Blockchain Project work called Blockchain Opportunity Analysis
Level : Beginner
Duration : 5 months, 4 hours per week
Rating : 4.7
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