Learn from MOOC like doing coke, but do not really coke (if you aren't a Californian)
Master's Degree and Pathway Programs
Coursera : Professional Certificate
Coursera : Specialization
- Development - General
- Programming Language - C/C++
- Programming Language - Python
- Data Structure & Algorithms
- Cloud - AWS
- Cloud - Azure
- Cloud - GCP
- Game Programming
- Mathematics
- Statistics
- Data Science - Python
- Data Science - R
- Data Science - SAS
- Excel
- RPA
- Electronic Engineering
- Investment
- Investment - Python
- Investment - ESG
- Blockchain
- Blockchain - Fintech
- Music (1) Beginner - Musicianship
- Music (2) Beginner - Producing / Business
- Music (3) Intermediate
- English (1)
- English (2) Business English
- English (3) Writing
- Others
Coursera : Course / Project
| Subject | Partner | Title | Tuition (USD) | Months | Credits* | GPA | TOEFL (IBT) |
|---|---|---|---|---|---|---|---|
| Computer Science | University of Texas at Austin | Master’s Degree in Computer Science | 10,000 | 18-36 | 30 | 3.0 | 79 |
| Georgia Tech | Master of Science in Computer Science | 9,900 | 12-36 | 36 | 3.0 | 100 | |
| Cybersecurity | Georgia Tech | Master’s Degree in Cybersecurity | 9,920 | 24-36 | 30 | 3.0 | 100 |
| Data Science | University of Texas at Austin | Master’s Degree in Data Science | 10,000 | 18-36 | 30 | 3.0 | 79 |
| Analytics | Georgia Tech | Master’s Degree in Analytics | 9,900 | 12-36 | 36 | 3.0 | 100 |
* Credits : It regarded as 3 credits per a course if there is no information.
| Subject | Partner | Title | Total Cost (USD) | Months | Credits* | GPA | TOEFL (IBT) |
|---|---|---|---|---|---|---|---|
| Computer Science | Arizona State University | Online Master of Computer Science | 15,000 | 18-36 | 30 | 3.0 | 90 |
| University of Illinois | Master of Computer Science (Featuring Data Science Track) | 21,440 | 12-36 | 32 | 3.2 | 103 | |
| University of Pennsylvania | Master of Computer and Information Technology | 32,140 | 16-40 | 30 | 3.0 | 100 | |
| Data Science | University of Colorado Boulder | Master of Science in Data Science | 20,010 | 24 | 30 | - | - |
| University of Michigan | Master of Applied Data Science | 43,894 | 12-36 | 34 | ? | 100 | |
| Imperial College London | Master of Science in Machine Learning and Data Science | 30,000 | 24 | 36 | 3.75 | IELTS 7.0 | |
| Electrical Engineering | University of Colorado Boulder | Master of Science in Electrical Engineering | 20,010 | 24 | 30 | - | - |
| Business Analytics | O.P. Jindal Global University | MBA in Business Analytics | 7,050 | 24-36 | 80 | ? | ? |
* Credits : It regarded as 3 credits per a course if there is no information.
| Subject | Partner | Course | Title | Payment($) * | Months | Related Degree |
|---|---|---|---|---|---|---|
| Computer Science | University of British Columbia | Software Development | 925 | 9 | Master of Science in Professional Studies at Rochester Institute of Technology, Master of Science (Computer Science) at Curtin University |
|
| 1 | How to Code: Simple Data | |||||
| 2 | How to Code: Complex Data | |||||
| 3 | Software Construction: Data Abstraction | |||||
| 4 | Software Construction: Object-Oriented Design | |||||
| 5 | Software Engineering: Introduction | |||||
| 6 | Software Development Capstone Project | |||||
| The University of California, San Diego | Algorithms and Data Structures | 1,200 | 9 | Master of Science in Professional Studies at Rochester Institute of Technology | ||
| 1 | Algorithmic Design and Techniques | |||||
| 2 | Data Structures Fundamentals | |||||
| 3 | Graph Algorithms | |||||
| 4 | NP-Complete Problems | |||||
| 5 | String Processing and Pattern Matching Algorithms | |||||
| 6 | Dynamic Programming: Applications In Machine Learning and Genomics | |||||
| 7 | Graph Algorithms in Genome Sequencing | |||||
| 8 | Algorithms and Data Structures Capstone | |||||
| Rochester Institute of Technology | Cybersecurity | 1,596 | 10 | Master of Science in Professional Studies at Rochester Institute of Technology | ||
| 1 | Cybersecurity Fundamentals | |||||
| 2 | Computer Forensics | |||||
| 3 | Cybersecurity Risk Management | |||||
| 4 | Network Security | |||||
| 5 | Cybersecurity Capstone | |||||
| University of Maryland Global Campus | Cloud Computing | 1,196 | 8 | Master of Science in Cloud Computing Systems | ||
| 1 | Cloud Computing for Enterprises | |||||
| 2 | Cloud Computing Infrastructure | |||||
| 3 | Cloud Computing Engineering and Management | |||||
| 4 | Cloud Computing Security | |||||
| Purdue University | Quantum Technology: Computing | 5,250 | 10 | Master of Science in Electrical and Computer Engineering at Purdue University, Master of Science in Professional Studies at Rochester Institute of Technology |
||
| 1 | Introduction to Quantum Science & Technology | |||||
| 2 | Applied Quantum Computing I: Fundamentals | |||||
| 3 | Applied Quantum Computing II: Hardware | |||||
| 4 | Applied Quantum Computing III: Algorithm and Software | |||||
| 5 | Quantum Detectors | |||||
| Purdue University | Quantum Technology: Detectors and Networking | 5,250 | 10 | Master of Science in Electrical and Computer Engineering at Purdue University, Master of Science in Professional Studies at Rochester Institute of Technology |
||
| 1 | Quantum Networking | |||||
| 2 | Quantum Detectors and Sensors | |||||
| 3 | Applied Quantum Computing I: Fundamentals | |||||
| 4 | Applied Quantum Computing II: Hardware | |||||
| 5 | Applied Quantum Computing III: Algorithm and Software |
* They may be discounted.
| Subject | Partner | Course | Title | Payment($) * | Months | Related Degree |
|---|---|---|---|---|---|---|
| Data Science | The University of California, San Diego | Data Science | 1,400 | 10 | Master of Science degree in Data Science at Rochester Institute of Technology | |
| 1 | Python for Data Science | |||||
| 2 | Probability and Statistics in Data Science using Python | |||||
| 3 | Machine Learning Fundamentals | |||||
| 4 | Machine Learning Fundamentals | |||||
| Massachusetts Institute of Technology | Statistics and Data Science | 1,500 | 14 | Refer to this link | ||
| 1 | Probability - The Science of Uncertainty and Data | |||||
| 2 | Fundamentals of Statistics | |||||
| 3 | Machine Learning with Python: from Linear Models to Deep Learning | |||||
| 4 | Capstone Exam in Statistics and Data Science | |||||
| 5 | (Select one) Data Analysis in Social Science—Assessing Your Knowledge | |||||
| 5 | (Select one) Data Analysis: Statistical Modeling and Computation in Applications | |||||
| University of Adelaide | Big Data | 985.5 | 12 | Master of Data Science at the University of Adelaide Master of Science in Professional Studies at Rochester Institute of Technology |
||
| 1 | Programming for Data Science | |||||
| 2 | Computational Thinking and Big Data | |||||
| 3 | Big Data Fundamentals | |||||
| 4 | Big Data Analytics | |||||
| 5 | Big Data Capstone Project | |||||
| The Hong Kong University of Science and Technology | Big Data Technology | 1,450 | 9 | Master of Science programs in Big Data Technology (BDT) and Information Technology (IT) | ||
| 1 | Foundations of Data Analytics | |||||
| 2 | Data Mining and Knowledge Discovery | |||||
| 3 | Big Data Computing with Spark | |||||
| 4 | Mathematical Methods for Data Analysis | |||||
| 5 | Big Data Technology Capstone Project | |||||
| Analytics | The Georgia Institute of Technology | Analytics: Essential Tools and Methods | 2,475 | 12 | Online Master of Science in Analytics Master of Science in Professional Studies at Rochester Institute of Technology |
|
| 1 | Introduction to Analytics Modeling | |||||
| 2 | Computing for Data Analysis | |||||
| 3 | Data Analytics for Business |
* They may be discounted.
| Subject | Partner | Course | Title | Payment($) | Months | Related Degree |
|---|---|---|---|---|---|---|
| IT | Arizona State University | AI & Machine Learning* | 4,500 | 6-9 | Master of Computer Science | |
| 1 | Statistical Machine Learning | |||||
| 2 | Artificial Intelligence | |||||
| 3 | Knowledge Representation and Reasoning | |||||
| 4 | Intro to Deep Learning in Visual Computing | |||||
| Arizona State University | Big Data* | 4,500 | 6-9 | Master of Computer Science | ||
| 1 | Data Processing at Scale | |||||
| 2 | Data Mining | |||||
| 3 | Statistical Machine Learning | |||||
| 4 | Data Visualization | |||||
| Arizona State University | Cybersecurity* | 4,500 | 6-9 | Master of Computer Science | ||
| 1 | Information Assurance and Security | |||||
| 2 | Applied Cryptography | |||||
| 3 | Software Security | |||||
| 4 | Advanced Computer and Network Security | |||||
| 5 | Distributed and Multiprocessor Operating Systems | |||||
| 6 | Accelerated Applied Security | |||||
| Arizona State University | Software Engineering* | 4,500 | 6-9 | Master of Computer Science | ||
| 1 | Software Verification, Validation, and Testing | |||||
| 2 | Advanced Software Analysis and Design | |||||
| 3 | Engineering Blockchain Applications | |||||
| 4 | Mobile Computing | |||||
| Analytics | The University of Chicago | Machine Learning for Analytics | 4,000 | 5 | Master of Science in Analytics | |
| 1 | Statistical Thinking for Machine Learning | |||||
| 2 | Advanced Statistical Thinking for Machine Learning | |||||
| 3 | Introduction to Machine Learning | |||||
| 4 | Advanced Applications | |||||
| Tufts University | Business Analytics for Managers | 3,000 | 6 | Master of Science in Engineering Management | ||
| 1 | Analytics Techniques for Business Insight | |||||
| 2 | Expanding Your Business Analytics Skills | |||||
| 3 | Data Analytics In Product Development and Production | |||||
| 4 | Marketing and Sales Data Decision Making | |||||
| 5 | Data Analytics Applications Finance and Economics |
* Take 3 of the 4 courses listed to earn your certificate.
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|---|---|---|---|---|---|---|
| Google Cloud | Google Cloud Digital Leader Training | Bgn. | 8 | ○ | × | Google Cloud |
| · Introduction to Digital Transformation with Google Cloud | Bgn. | 2 | ||||
| · Innovating with Data and Google Cloud | Bgn. | 2 | ||||
| · Infrastructure and Application Modernization with Google Cloud | Bgn. | 2 | ||||
| · Understanding Google Cloud Security and Operations | Bgn. | 2 | ||||
| Google Cloud | Preparing for Google Cloud Certification: Cloud DevOps Engineer | Bgn. | 51 | ○ | × | Google Cloud |
| · Google Cloud Fundamentals: Core Infrastructure | Bgn. | 9 | ||||
| · Developing a Google SRE Culture | Bgn. | 8 | ||||
| · Reliable Google Cloud Infrastructure: Design and Process | Adv. | 8 | ||||
| · Logging, Monitoring and Observability in Google Cloud | Bgn. | 15 | ||||
| · Getting Started with Google Kubernetes Engine | Itm. | 11 |
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|---|---|---|---|---|---|---|
| Python | Applied Data Science with Python | Itm. | 143 | ○ | ○ | University of Michigan |
| · Introduction to Data Science in Python | Itm. | 31 | ||||
| · Applied Plotting, Charting & Data Representation in Python | Itm. | 20 | ||||
| · Applied Machine Learning in Python | Itm. | 34 | ||||
| · Applied Text Mining in Python | Itm. | 29 | ||||
| · Applied Social Network Analysis in Python | Itm. | 29 | ||||
| Python | Data Science Fundamentals with Python and SQL | Bgn. | 101 | × | △ | IBM |
| · Tools for Data Science | Bgn. | 20 | × | |||
| · Python for Data Science, AI & Development | Bgn. | 22 | ○ | |||
| · Python Project for Data Science | Itm. | 8 | × | |||
| · Statistics for Data Science with Python | - | 14 | × | |||
| (SQL) | · Databases and SQL for Data Science with Python | Bgn. | 37 | × | ||
| Python | Applied Data Science | Bgn. | 69 | × | △ | IBM |
| · Python for Data Science, AI & Development | Bgn. | 19 | ○ | |||
| · Python Project for Data Science | Itm. | 7 | ○ | |||
| · Data Analysis with Python | Bgn. | 15 | × | |||
| · Data Visualization with Python | Itm. | 17 | ○ | |||
| · Applied Data Science Capstone | Itm. | 11 | × |
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|---|---|---|---|---|---|---|
| R | Data Science: Foundations using R | Bgn. | 158 | ○ | ○ | Johns Hopkins University |
| (Git) | · The Data Scientist’s Toolbox | - | 18 | |||
| · R Programming | Itm. | 57 | ||||
| · Getting and Cleaning Data | - | 20 | ||||
| · Exploratory Data Analysis | - | 55 | ||||
| · Reproducible Research | - | 8 | ||||
| R | Data Visualization & Dashboarding with R | Bgn. | 70 | ○ | × | Johns Hopkins University |
| · Getting Started with Data Visualization in R | Bgn. | 12 | ||||
| · Data Visualization in R with ggplot2 | Itm. | 13 | ||||
| · Advanced Data Visualization with R | - | 11 | ||||
| (Shiny) | · Publishing Visualizations in R with Shiny and flexdashboard | - | 12 | |||
| · Data Visualization Capstone | - | 22 | ||||
| R | Applied Data Science with R | Bgn. | 69 | × | × | IBM |
| · Introduction to R Programming for Data Science | Bgn. | 11 | ||||
| (SQL) | · SQL for Data Science with R | Bgn. | 17 | |||
| · Data Analysis with R | Itm. | 15 | ||||
| (Shiny) | · Data Visualization with R | Bgn. | 10 | |||
| · Data Science with R - Capstone Project | Itm. | 16 |
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|---|---|---|---|---|---|---|
| SAS | Machine Learning Rock Star – the End-to-End Practice | Bgn. | 44 | × | SAS | |
| · The Power of Machine Learning: Boost Business, Accumulate Clicks, Fight Fraud, and Deny Deadbeats | Bgn. | 14 | ||||
| · Launching Machine Learning: Delivering Operational Success with Gold Standard ML Leadership | Bgn. | 13 | ||||
| · Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls | Bgn. | 17 | ||||
| SAS | Analyzing Time Series and Sequential Data | Itm. | 27 | × | SAS | |
| · Creating Features for Time Series Data | Itm. | 7 | ||||
| · Building a Large-Scale, Automated Forecasting System | Itm. | 10 | ||||
| · Modeling Time Series and Sequential Data | Itm. | 10 | ||||
| SAS | Distributed Programming in SAS® Viya® for Data Analysts | Adv. | 54 | × | SAS | |
| · SAS® Programming for Distributed Computing in SAS® Viya® | Adv. | 13 | ||||
| · CASL Programming for Distributed Computing in SAS® Viya® | Adv. | 29 | ||||
| · Preparing for the SAS® Viya® Programming Certification Exam | Adv. | 12 |
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|---|---|---|---|---|---|---|
| UiPath | Robotic Process Automation (RPA) | Bgn. | 48 | ○ | ○ | UiPath |
| · RPA Basics and Introduction to UiPath | Bgn. | 6 | ||||
| · Data Manipulation in RPA | Bgn. | 9 | ||||
| · UI Automation and Selectors | Bgn. | 8 | ||||
| · Control Flow in RPA | Bgn. | 10 | ||||
| · Automation Techniques in RPA | Bgn. | 9 | ||||
| · UiPath Orchestrator and Capstone Projects | Bgn. | 6 | ||||
| Automation Anywhere | Implementing RPA with Cognitive Automation and Analytics | Bgn. | 23 | × | ○ | Automation Anywhere |
| · RPA Lifecycle: Introduction, Discovery and Design | Bgn. | 4 | ||||
| · RPA Lifecycle: Development and Testing | Bgn. | 9 | ||||
| · RPA Lifecycle: Deployment and Maintenance | Bgn. | 6 | ||||
| · Cognitive Solutions and RPA Analytics | Bgn. | 4 |
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|---|---|---|---|---|---|---|
| Investment (ESG) | The Materiality of ESG Factors | Bgn. | 30 | ○ | × | University of Pennsylvania |
| · ESG Risks and Opportunities | Bgn. | 8 | ||||
| · ESG Impact: Investor Perspective | - | 7 | ||||
| · ESG and Climate Change | - | 8 | ||||
| · ESG and Social Activism | Bgn. | 7 | ||||
| Investment (ESG) | ESG Investing: Financial Decisions in Flux | Bgn. | 92 | ○ | × | Interactive Brokers |
| · ESG Investing: Setting Standards & Conducting Analysis | Bgn. | 26 | ||||
| · ESG Investing: Industry Impacts & Transformations | Bgn. | 24 | ||||
| · ESG-focused Financial Products | Bgn. | 22 | ||||
| · ESG Data & Accountability | Bgn. | 20 |
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|---|---|---|---|---|---|---|
| Blockchain | Blockchain | Bgn. | 40 | ○ | × | University of California, Irvine |
| · The Blockchain | Bgn. | 9 | ||||
| · Cryptography and Hashing Overview | Bgn. | 10 | ||||
| · The Merkle Tree and Cryptocurrencies | Bgn. | 9 | ||||
| · The Blockchain System | Bgn. | 12 | ||||
| Blockchain | Blockchain Revolution | Bgn. | 85 | ○ | × | INSEAD |
| · Introduction to Blockchain Technologies | Bgn. | 29 | ||||
| · Transacting on the Blockchain | Itm. | 16 | ||||
| · Blockchain and Business: Applications and Implications | - | 27 | ||||
| · Blockchain Opportunity Analysis | Itm. | 13 | ||||
| Blockchain | Introduction to Blockchain | Bgn. | 9 | ○ | × | Association of International Certified Professional Accountants |
| · Blockchain Evolution and Technology Concepts | Bgn. | 3 | ||||
| · Blockchain Opportunities Beyond Crypto Assets | Bgn. | 3 | ||||
| · Understanding, Using, and Securing Crypto and Digital Assets | Bgn. | 3 | ||||
| Blockchain Solidity | Blockchain | Itm. | 67 | ○ | ○ | University at Buffalo +1 |
| · Blockchain Basics | Bgn. | 16 | ||||
| · Smart Contracts | Itm. | 17 | ||||
| · Decentralized Applications (Dapps) | Itm. | 18 | ||||
| · Blockchain Platforms | Itm. | 16 |
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|---|---|---|---|---|---|---|
| Music | The Business of Music Production | Bgn. | 49 | ○ | × | Berklee College of Music |
| · Music Business Foundations | - | 12 | ||||
| · The Art of Music Production | Itm. | 14 | ||||
| · Copyright Law in the Music Business | Bgn. | 10 | ||||
| · Pro Tools Basics | - | 13 | ||||
| Music | Music Business | Bgn. | 40 | ○ | × | Berklee College of Music |
| · Music Business Foundations | - | 12 | ||||
| · Building Your Career in Music: Developing A Brand and Funding Your Music | Bgn. | 10 | ||||
| · Copyright Law in the Music Business | Bgn. | 10 | ||||
| · Creativity And Entrepreneurship | Bgn. | 8 | ||||
| Music | Music Production | Bgn. | 56 | ○ | × | Berklee College of Music |
| · The Art of Music Production | Itm. | 14 | ||||
| · The Technology of Music Production | Bgn. | 19 | ||||
| · Pro Tools Basics | - | 13 | ||||
| · Music Production Capstone | Itm. | 10 | ||||
| Music | Songwriting: Writing, Arranging, and Producing Music | Bgn. | 53 | ○ | × | Berklee College of Music |
| · Songwriting: Writing the Lyrics | Bgn. | 17 | ||||
| · Songwriting: Writing the Music | Itm. | 12 | ||||
| · Arranging for Songwriters | Itm. | 10 | ||||
| · Introduction to Ableton Live | - | 14 |
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|---|---|---|---|---|---|---|
| Parenting | Newborn Baby Care | Bgn. | 71 | ○ | × | University of Colorado System |
| · Preventative Healthcare for the Newborn Baby | Bgn. | 15 | ||||
| · The Newborn Assessment | Bgn. | 12 | ||||
| · Guidance to Keep Newborn Babies Safe and Healthy | Bgn. | 16 | ||||
| · Supporting Parents of a Newborn Baby | Bgn. | 12 | ||||
| · Newborn Capstone | Bgn. | 16 |
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|---|---|---|---|---|---|---|
| Assembly | Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course) | - | 44 | ○ | × | Hebrew University of Jerusalem |
| Build a Modern Computer from First Principles: Nand to Tetris Part II (project-centered course) | - | 90 | ○ | × | Hebrew University of Jerusalem | |
| Bash | The Unix Workbench | Bgn. | 19 | ○ | × | Johns Hopkins University |
| Competitive Programming | C/C++ for competitive programming | Bgn. | 105 | ○ | × | Moscow Institute of Physics and Technology |
| Competitive Programmer's Core Skills | Itm. | 32 | × | × | Saint Petersburg State University | |
| Data Structure & Algorithms (Java) | Algorithms, Part I | Itm. | 54 | Free | ○ | Princeton University |
| Algorithms, Part II | Itm. | 63 | Free | ○ | Princeton University | |
| Functional Programming (SML) |
Programming Languages, Part A | Itm. | 30 | ○ | × | University of Washington |
| (Racket) | Programming Languages, Part B | Itm. | 17 | ○ | × | University of Washington |
| (Ruby) | Programming Languages, Part C | - | 18 | ○ | × | University of Washington |
| Java | Data Structures and Performance | Itm. | 42 | ○ | ○ | University of California San Diego |
| Julia | Julia Scientific Programming | Bgn. | 18 | ○ | × | University of Cape Town |
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|---|---|---|---|---|---|---|
| App Inventor | Developing Android Apps with App Inventor | Bgn. | 40 | ○ | × | The Hong Kong University of Science and Technology |
| Git | Introduction to Git and GitHub | Bgn. | 16 | ○ | × | |
| Mathematics | Introduction to Calculus | Itm. | 59 | ○ | × | The University of Sydney |
| Applied Calculus with Python | Itm. | 23 | ○ | × | Johns Hopkins University | |
| MATLAB Octave | Machine Learning | - | 61 | × | × | Stanford University |
| Microsoft Azure | Cloud Computing Basics (Cloud 101) | Bgn. | 9 | ○ | ○ | LearnQuest |
| Getting Started with Azure | Bgn. | 20 | ○ | × | LearnQuest | |
| Data Processing with Azure | Itm. | 13 | ○ | × | LearnQuest | |
| Developing AI Applications on Azure | Adv. | 16 | ○ | × | LearnQuest | |
| Azure Infrastructure Fundamentals | Adv. | 30 | ○ | × | LearnQuest | |
| OpenCV | 2D image processing | Bgn. | 14 | × | × | HSE University |
| RPA (UiPath) |
Automation Business Analysis - Concepts and Principles | Bgn. | 14 | ○ | ○ | UiPath |
| (UiPath) | Robotics Process Automation for Smart Manufacturing | Bgn. | 6 | ○ | × | Starweaver |
| (Blue Prism) | Blue Prism Foundation Training | Bgn. | 19 | ○ | ○ | Blue Prism |
| (Automation 360) | Getting Started with Automation 360 | Itm. | 4 | × | ○ | Automation Anywhere |
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|---|---|---|---|---|---|---|
| Electronics | Introduction to Electronics | - | 46 | × | × | Georgia Institute of Technology |
| Linear Circuits 1: DC Analysis | - | 85 | × | × | Georgia Institute of Technology | |
| Linear Circuits 2: AC Analysis | - | 28 | × | × | Georgia Institute of Technology | |
| Introduction to Semiconductor Devices 1 | Itm. | 12 | ○ | × | Korea Advanced Institute of Science and Technology | |
| Introduction to Semiconductor Devices 2 | Itm. | 10 | ○ | × | Korea Advanced Institute of Science and Technology | |
| VLSI CAD Part I: Logic | Itm. | 23 | ○ | × | University of Illinois at Urbana-Champaign | |
| VLSI CAD Part II: Layout | Itm. | 24 | ○ | × | University of Illinois at Urbana-Champaign | |
| RF and millimeter-Wave Circuit Design | Itm. | 30 | ○ | × | Eindhoven University of Technology |
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|---|---|---|---|---|---|---|
| Music (Bgn.) | 20世纪西方音乐 Western Music in the 20th Century | Bgn. | 14 | Free | × | Peking University |
| Art of the MOOC: Experiments with Sound | Bgn. | 10 | Free | × | Duke University Berlin University of the Arts |
|
| Explore Management Concepts through Metaphor and Music | Bgn. | 18 | Free | × | University of London | |
| Fundamentals of Music Theory | Bgn. | 12 | ○ | × | The University of Edinburgh | |
| Getting Started With Music Theory | Bgn. | 13 | Free | × | Michigan State University | |
| How Music Can Change Your Life | Bgn. | 26 | Free | × | The University of Melbourne | |
| Modern & Contemporary American Poetry (“ModPo”) | Bgn. | 93 | ○ | × | University of Pennsylvania | |
| Music for Wellness | Bgn. | 11 | ○ | × | Berklee College of Music | |
| Music's Big Bang: The Genesis of Rock 'n' Roll | Bgn. | 9 | Free | × | University of Florida | |
| Piano Techniques for Modern Music | Bgn. | 12 | ○ | × | Berklee College of Music | |
| So You Think You Know Tango? | Bgn. | 6 | ○ | × | Emory University | |
| The Art of Vocal Production | Bgn. | 12 | ○ | × | Berklee College of Music | |
| The Place of Music in 21st Century Education | Bgn. | 22 | Free | × | The University of Sydney | |
| Music (Itm.) | Approaching Music Theory: Melodic Forms and Simple Harmony | Itm. | 22 | × | California Institute of the Arts | |
| Audio Signal Processing for Music Applications | Itm. | 49 | Free | × | Universitat Pompeu Fabra of Barcelona Stanford University |
|
| FL Studio Basics | Itm. | 12 | × | Berklee College of Music | ||
| Intimacy of Creativity: Entering the Minds of Composers | Itm. | 5 | Free | × | The Hong Kong University of Science and Technology | |
| Piano Scales for Modern Music | Itm. | 12 | × | Berklee College of Music |
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|---|---|---|---|---|---|---|
| Music (Mix.) | Copyright for Multimedia | Mix. | 11 | Free | × | Duke University Emory University The University of North Carolina at Chapel Hill |
| Exploring Beethoven’s Piano Sonatas | Bgn. | 18 | Free | × | Curtis Institute of Music | |
| Exploring Beethoven’s Piano Sonatas Part 2 | Bgn. | 8 | Free | × | Curtis Institute of Music | |
| Exploring Beethoven's Piano Sonatas Part 3 | Bgn. | 7 | Free | × | Curtis Institute of Music | |
| Exploring Beethoven's Piano Sonatas Part 4 | Itm. | 5 | Free | × | Curtis Institute of Music | |
| Exploring Beethoven's Piano Sonatas Part 5 | Itm. | 7 | Free | × | Curtis Institute of Music | |
| Exploring Beethoven's Piano Sonatas Part 6 | Itm. | 6 | Free | × | Curtis Institute of Music | |
| Fundamentals of Audio and Music Engineering: Part 1 Musical Sound & Electronics | Mix. | 14 | Free | × | University of Rochester | |
| Fundamentals of Rehearsing Music Ensembles | Mix. | 21 | Free | × | The University of North Carolina at Chapel Hill | |
| History of Rock, Part One | Mix. | 13 | Free | × | University of Rochester | |
| History of Rock, Part Two | Mix. | 12 | Free | × | University of Rochester | |
| Introduction to Classical Music | Mix. | 65 | Free | ○ | Yale University | |
| Music and Social Action | Mix. | 25 | Free | × | Yale University | |
| Music as Biology: What We Like to Hear and Why | Mix. | 17 | Free | × | Duke University | |
| Teaching the Violin and Viola: Creating a Healthy Foundation | Mix. | 12 | Free | × | Northwestern University | |
| The American South: Its Stories, Music, and Art | Mix. | 7 | × | The University of North Carolina at Chapel Hill | ||
| The Beauty of Kunqu Opera | Mix. | 9 | Free | × | The Chinese University of Hong Kong | |
| The Blues: Understanding and Performing an American Art Form | Mix. | 11 | Free | × | University of Rochester | |
| The Music of the Beatles | Mix. | 14 | Free | × | University of Rochester | |
| The Music of the Rolling Stones, 1962-1974 | Mix. | 13 | Free | × | University of Rochester | |
| Today’s Music Industry | Mix. | 14 | Free | × | West Virginia University | |
| Understanding the Music Business: What is Music Worth? | Mix. | 18 | × | Vanderbilt University | ||
| Write Like Mozart: An Introduction to Classical Music Composition | Mix. | 15 | Free | × | National University of Singapore |
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|---|---|---|---|---|---|---|
| Health | Biohacking Your Brain's Health | Bgn. | 14 | ○ | × | Emory University |
| Hacking Exercise For Health. The surprising new science of fitness | Bgn. | 23 | ○ | × | McMaster University | |
| Science of Exercise | Bgn. | 10 | ○ | ○ | University of Colorado Boulder | |
| Stanford Introduction to Food and Health | Bgn. | 7 | × | ○ | Stanford University | |
| Vital Signs: Understanding What the Body Is Telling Us | - | 14 | ○ | ○ | University of Pennsylvania | |
| Parenting | Global Quality Maternal and Newborn Care | Itm. | 18 | ○ | × | Yale University |
| Nutrition and Lifestyle in Pregnancy | Itm. | 7 | × | ○ | Ludwig-Maximilians-Universität München | |
| Stanford's Short Course on Breastfeeding | Bgn. | 5 | × | × | Stanford University |
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Hours | Plus | Korean | Partner |
|---|---|---|---|---|---|---|
| Dart | Introduction to Dart | Bgn. | 1.5 | ○ | × | Google Cloud |
| Dart: Variables, Data Structures, Objects, and Conditionals | Bgn. | 1.5 | ○ | × | Google Cloud | |
| Dart: Using Functions with Lists and Maps | Bgn. | 1.5 | ○ | × | Google Cloud | |
| Dart: Introducing Class Abstraction | Bgn. | 1.5 | ○ | × | Google Cloud | |
| (Flutter) | Getting started with Flutter Development | Bgn. | 1 | ○ | × | Google Cloud |
| Material Components for Flutter Basics | Bgn. | 1 | ○ | × | Google Cloud | |
| Dart Functions Framework | Bgn. | 1 | ○ | × | Google Cloud | |
| Flutter Startup Namer | Bgn. | 1 | ○ | × | Google Cloud | |
| Flutter Qwik Start | Bgn. | 1 | ○ | × | Google Cloud | |
| Build a Two Screen Flutter Application | Bgn. | 1 | ○ | × | Google Cloud | |
| Flutter Web and Firebase Authentication | Bgn. | 1 | ○ | × | Google Cloud | |
| Implementing Page Navigation in a Flutter Application | Bgn. | 1.5 | ○ | × | Google Cloud | |
| Working with Onscreen Data in a Flutter Application | Bgn. | 1.5 | ○ | × | Google Cloud |
(Bgn.: Beginner / Itm.: Intermediate / Adv.: Advanced)
| Subject | Title | Level | Weeks | Payment($) | Koean | Partner | Note |
|---|---|---|---|---|---|---|---|
| App Inventor | Mobile Computing with App Inventor – CS Principles | Intro. | 6 | 50 | × | Trinity College | Archived |
| Mobile Computing with App Inventor: CS Principles Part II | Itm. | 6 | 50 | × | Trinity College | Archived | |
| MIT App Inventor Certification Exam – Level 1 | Intro. | 1 | 49 | × | Massachusetts Institute of Technology | Archived | |
| Haskell | Introduction to Functional Programming | Intro. | 4 | 50 | × | Delft University of Technology | |
| C# | Introduction to C# | × | Microsoft | Archived | |||
| F# | Programming in F# | × | Microsoft | Archived |
| Subject | Title | Lessons | Code Project |
|---|---|---|---|
| C | C | 46 | × |
| C++ | C++ | 87 | ○ |
| C# | C# | 81 | ○ |
| Data Science | Data Science | 41 | ○ |
| Machine Learning | 54 | ○ | |
| Go | Go | 44 | ○ |
| Java | Java | 71 | ○ |
| Kotlin | Kotlin | 34 | ○ |
| Python | Python Core | 103 | ○ |
| Python for Beginners | 45 | ○ | |
| Intermediate Python | 39 | ○ | |
| Python Data Structures | 28 | ○ | |
| Python for Data Science | 27 | ○ | |
| Python for Finance | 27 | × | |
| R | R | 41 | ○ |
| Ruby | Ruby | 57 | × |
| SQL | SQL | 30 | ○ |
| Swift | Swift 4 | 53 | × |
| Web | Web Development Fundamentals | 35 | × |
| HTML | 44 | × | |
| CSS | 76 | × | |
| JavaScript | 65 | ○ | |
| Responsive Web Design | 21 | × | |
| jQuery | 26 | × | |
| React + Redux | 23 | × | |
| Angular + NestJS | 45 | × | |
| PHP | 51 | × | |
| Game Development with JS | 24 | × | |
| Coding for Marketers | 25 | × |
| Subject | Title | Level | Problems |
|---|---|---|---|
| C | Do it! C언어 입문 | 입문 | 109 |
| 모두의 C언어 | 입문 | 133 | |
| 혼자 공부하는 C언어 | 입문 | 157 | |
| Java | Do it! 첫 코딩 | 입문 | 21 |
| 생활코딩! 자바 프로그래밍 입문 | 입문 | 101 | |
| Do it! 자바 프로그래밍 입문 | 입문 | 248 | |
| Python | 모두의 파이썬 | 입문 | 49 |
| Do it! 첫 파이썬 | 입문 | 60 | |
| 혼자 공부하는 첫 프로그래밍 with 파이썬 | 입문 | 88 | |
| 똑똑한 파이썬 | 입문 | 99 | |
| Do it! 파이썬 생활 프로그래밍 | 입문 | 111 | |
| 프로그래밍 PYTHON | 입문 | 118 | |
| 혼자 공부하는 파이썬 | 입문 | 174 | |
| 시간순삭 파이썬 | 입문 | 184 | |
| 따라하며 배우는 파이썬과 데이터 과학 | 입문 | 236 | |
| 예제 중심 파이썬 입문 | 초급 | 227 | |
| Scratch | 모두의 스크래치 | 입문 | 134 |
| 데이터 분석 | 파이썬으로 데이터 주무르기 | 입문 | 91 |
| Do it! 쉽게 배우는 R 데이터 분석 | 입문 | 104 | |
| 모두의 데이터 분석 with 파이썬 | 초급 | 59 | |
| 알고리즘 | 체셔의 퀴즈 | - | - |
| 모두의 스크래치 알고리즘 | 초급 | 34 | |
| 모두의 알고리즘 with 파이썬 | 초급 | 47 | |
| 파이썬 알고리즘 | - | 76 | |
| 웹 | Do it! HTML5+CSS3 웹 표준의 정석 | 입문 | 92 |
| 생활코딩! HTML + CSS + 자바스크립트 | 입문 | 140 | |
| Do it! 자바스크립트+제이쿼리 입문 | 입문 | 155 | |
| Do it! HTML + CSS + 자바스크립트 웹 표준의 정석 | 입문 | 217 | |
| Do it! 장고+부트스트랩 | 초급 | 141 | |
| 인공지능 | 모두의 딥러닝 | 초급 | 32 |
| 혼자 공부하는 머신러닝+딥러닝 | 초급 | 93 | |
| Do it! 딥러닝 입문 | 고급 | 46 | |
| 챌린지 | Java 레벨 테스트 | 입문 | 20 |
| 파이썬 레벨 테스트 | 초급 | 30 | |
| 주간 알고리즘 | - | - |
| Category | Language | Organization | Tutorial | Wikipedia |
|---|---|---|---|---|
| Classic Languages | Ada | ada2012.org | link | Kr En |
| Algol | algol68.org | link | Kr En | |
| B | Bell Labs | link | Kr En | |
| COBOL | IBM | tutorialspoint | Kr En | |
| Delphi | Enbracadero | link | Kr En | |
| Fortran | fortran-lang.org | tutorialspoint | Kr En | |
| GW-BASIC | gw-basic.com | link | Kr En | |
| Pascal | freepascal.org | tutorialspoint | Kr En | |
| QuickBASIC | qbasic.net | pittajarn.lpru.ac.th | Kr En | |
| Small Talk | gnu.org | link | Kr En | |
| Functional Programming | Clojure | clojure.org | tutorialspoint | Kr En |
| Erlang | erlang.org | tutorialspoint | Kr En | |
| F# | fsharp.org | tutorialspoint | Kr En | |
| Haskell | haskell.org | tutorialspoint | Kr En | |
| Common Lisp | lisp-lang.org | tutorialspoint | Kr En | |
| OCaml | ocaml.org | link | Kr En | |
| Racket | racket-lang.org | link | Kr En | |
| Scala | scala-lang.org | tutorialspoint | Kr En | |
| Scheme | scheme-reports.org | link | Kr En | |
| SML | smlfamily.github.io | link | Kr En |