Online education is a great alternative to on-campus study programmes. Not only do they provide with the possibility to follow courses from the comfort of your home, these online courses are especially designed for self-study and personalized to fit the needs of students.
From beginner to advanced level courses, here’s a list of some of the most recommended free online education sites:
SEE ALSO: 5 Easy Ways to Sell Your Course Online
1. Beginner Courses
2. Intermediate
3. Advanced
4. Tips on Taking Online Courses
1. Programming Foundations with JavaScript, HTML and CSS
Duke University via Coursera
2. Introduction to CSS3
University of Michigan via Coursera
3. Usable Security
University of Maryland, College Park via Coursera
4. Introduction to Web Development
University of California, Davis via Coursera
5. Learn to Program: The Fundamentals
University of Toronto via Coursera
6. Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course)
Hebrew University of Jerusalem via Coursera
7. Internet History, Technology, and Security
University of Michigan via Coursera
8. Creative Programming for Digital Media & Mobile Apps
University of London International Programmes via Coursera
9. An Introduction to Interactive Programming in Python (Part 1)
Rice University via Coursera
10. Programming for Everybody (Getting Started with Python)
University of Michigan via Coursera
11. Introduction to Computer Science
Harvard University via edX
12. Intro to Computer Science
University of Virginia via Udacity
13. Introduction to Programming with MATLAB
Vanderbilt University via Coursera
14. An Introduction to Interactive Programming in Python (Part 2)
Rice University via Coursera
15. Introduction to HTML5
University of Michigan via Coursera
16. Learn to Program: Crafting Quality Code
University of Toronto via Coursera
17. How To Create a Website in a Weekend! (Project-Centered Course)
State University of New York via Coursera
18. HTML, CSS, and Javascript for Web Developers
Johns Hopkins University via Coursera
19. Introduction to the Internet of Things and Embedded Systems
University of California, Irvine via Coursera
20. Python Programming: A Concise Introduction
Wesleyan University via Coursera
21. CODAPPS: Coding mobile apps for entrepreneurs
EMLYON Business School via Coursera
22. How to Code: Simple Data
The University of British Columbia via edX
23. Intro to Java Programming
San Jose State University via Udacity
24. DB: Introduction to Databases
Stanford University via Stanford OpenEdx
25. Ruby on Rails: An Introduction
Johns Hopkins University via Coursera
26. Introduction to Cyber Security
The Open University via FutureLearn
27. Cyber Security: Protecting Yourself and Your Data
IEEE via edX
28. HTML, CSS and JavaScript
The Hong Kong University of Science and Technology via Coursera
29. Programming Basics
Indian Institute of Technology Bombay via edX
30. Java Programming Basics
via Udacity
1. Principles of Computing (Part 1)
Rice University via Coursera
2. Principles of Computing (Part 2)
Rice University via Coursera
3. A Crash Course in Data Science
Johns Hopkins University via Coursera
4. R Programming
Johns Hopkins University via Coursera
5. The Data Scientist’s Toolbox
Johns Hopkins University via Coursera
6. Getting and Cleaning Data
Johns Hopkins University via Coursera
7. Exploratory Data Analysis
Johns Hopkins University via Coursera
8. Practical Machine Learning
Johns Hopkins University via Coursera
9. Machine Learning
Stanford University via Coursera
10. Programming Languages Part A ,
University of Washington via Coursera
11. Python Data Structures
University of Michigan via Coursera
12. Using Python to Access Web Data
University of Michigan via Coursera
13. Using Databases with Python
University of Michigan via Coursera
14. Object Oriented Programming in Java
University of California, San Diego via Coursera
15. Hadoop Platform and Application Framework
University of California, San Diego via Coursera
16. Concurrent Programming in Erlang
University of Kent via FutureLearn
3rd Apr, 2017
17. Statistical Inference
Johns Hopkins University via Coursera
18. Regression Models
Johns Hopkins University via Coursera
19. Reproducible Research
Johns Hopkins University via Coursera
20. Algorithmic Toolbox
University of California, San Diego via Coursera
21. Java Programming: Solving Problems with Software
Duke University via Coursera
22. AngularJS: Advanced Framework Techniques
Microsoft via edX
23. Introduction to DevOps
Microsoft via edX
24. C++ For C Programmers, Part B
University of California, Santa Cruz via Coursera
3rd Apr, 2017
25. Android App Components — Intents, Activities, and Broadcast Receivers
Vanderbilt University via Coursera
26. Global Warming II: Create Your Own Models in Python
The University of Chicago via Coursera
27. Data Science in Real Life
Johns Hopkins University via Coursera
28. Algorithmic Thinking (Part 1)
Rice University via Coursera
29. Software Security
University of Maryland, College Park via Coursera
30. Machine Learning
Stanford University via Coursera
1. Machine Learning Foundations: A Case Study Approach
University of Washington via Coursera
2. Machine Learning: Regression
University of Washington via Coursera
3. Machine Learning: Classification
University of Washington via Coursera
4. Developing Data Products
Johns Hopkins University via Coursera
5. Machine Learning: Clustering & Retrieval
University of Washington via Coursera
6. Text Mining and Analytics
University of Illinois at Urbana-Champaign via Coursera
7. Cluster Analysis in Data Mining
University of Illinois at Urbana-Champaign via Coursera
8. Machine Learning for Data Analysis
Wesleyan University via Coursera
9. Applied Plotting, Charting & Data Representation in Python
University of Michigan via Coursera
10. Nearest Neighbor Collaborative Filtering
University of Minnesota via Coursera
11. Practical Predictive Analytics: Models and Methods
University of Washington via Coursera
12. Command Line Tools for Genomic Data Science
Johns Hopkins University via Coursera
13. Data Mining: Theories and Algorithms for Tackling Big Data
Tsinghua University via edX
14. Regression Modeling in Practice
Wesleyan University via Coursera
15. Google Cloud Platform Big Data and Machine Learning Fundamentals
Google Cloud via Coursera
16. Basic Data Descriptors, Statistical Distributions, & Application to Business Decisions
Rice University via Coursera
17. Information Security: Context and Introduction
University of London International Programmes via Coursera
18. Parallel programming
École Polytechnique Fédérale de Lausanne via Coursera
19. Bioconductor for Genomic Data Science
Johns Hopkins University via Coursera
20. Genome Sequencing (Bioinformatics II)
University of California, San Diego via Coursera
21. Modeling Discrete Optimization
University of Melbourne via Coursera
22. Machine Learning With Big Data
University of California, San Diego via Coursera
23. Relational Database Support for Data Warehouses
University of Colorado System via Coursera
24. Probabilistic Graphical Models 2: Inference
Stanford University via Coursera
25. Pattern Discovery in Data Mining
University of Illinois at Urbana-Champaign via Coursera
26. Algorithms for DNA Sequencing
Johns Hopkins University via Coursera
27. Genomic Data Science and Clustering (Bioinformatics V)
University of California, San Diego via Coursera
28. Finding Hidden Messages in DNA (Bioinformatics I)
University of California, San Diego via Coursera
29. Basic Modeling for Discrete Optimization
University of Melbourne via Coursera
30. System Validation (2): Model process behaviour
EIT Digital via Coursera
31. Introduction to Recommender Systems: Non-Personalized and Content-Based
University of Minnesota via Coursera
32. Discrete Mathematics
Shanghai Jiao Tong University via Coursera
33. Advanced Modeling for Discrete Optimization
University of Melbourne via Coursera
34. Hardware Security
University of Maryland, College Park via Coursera
35. Big Data, Genes, and Medicine
State University of New York via Coursera
36. Computational Neuroscience
University of Washington via Coursera
37. Graph Analytics for Big Data
University of California, San Diego via Coursera
38. Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud
University of Illinois at Urbana-Champaign via Coursera
39. Molecular Evolution (Bioinformatics IV)
University of California, San Diego via Coursera
40. Comparing Genes, Proteins, and Genomes (Bioinformatics III)
University of California, San Diego via Coursera
41. Finding Mutations in DNA and Proteins (Bioinformatics VI)
University of California, San Diego via Coursera
42. Big Data Analysis with Scala and Spark
École Polytechnique Fédérale de Lausanne via Coursera
43. Recommender Systems: Evaluation and Metrics
University of Minnesota via Coursera
44. Quantitative Formal Modeling and Worst-Case Performance Analysis
EIT Digital via Coursera
45. Neural Networks for Machine Learning
University of Toronto via Coursera
46. Bitcoin and Cryptocurrency Technologies
Princeton University via Coursera
47. Big Data Science with the BD2K-LINCS Data Coordination and Integration Center
Icahn School of Medicine at Mount Sinai via Coursera
48. Embedded Hardware and Operating Systems
EIT Digital via Coursera
49. System Validation: Automata and behavioural equivalences
EIT Digital via Coursera
50. Advanced Linear Models for Data Science 1: Least Squares
Johns Hopkins University via Coursera
51. Hands-on Text Mining and Analytics
Yonsei University via Coursera
52. System Validation (3): Requirements by modal formulas
EIT Digital via Coursera
53. Probabilistic Graphical Models 1: Representation
Stanford University via Coursera
54. Matrix Factorization and Advanced Techniques
University of Minnesota via Coursera
55. Applied Machine Learning in Python
University of Michigan via Coursera
SEE ALSO: Learning Excel Online: Top 20 Resources for Excel Training
With millions of learners around the worlds and thousands of online courses available, online learning has become a learning trend that transcends learners of all ages. These courses are offered by leading universities and partners.
Here are some tips to be successful in taking an online course:
1. Define what motivates you
Ask yourself, why do you want to pursue this course? After defining your motivation or purpose for taking the course, make sure it’s a strong reason to keep you going. Identify your reasons for taking the course and the goals you’d like to accomplish. Do you want to learn a new skill? Do you want to advance your career? Or do you simply just want to learn something new?
With online courses, you can achieve all that. You just have to be strong-willed and motivated to keep going with the classes. New skills and knowledge can help take your career to another level.
2. Set goals
It’s important to always set a goal. A manageable goal is even better so you can keep track of small achievements that will eventually lead to bigger ones with time and effort. It will be easier to complete small tasks than big ones. One benefit of online courses is that they’re self-paced. It depends on the learner how she or she will manage his time to finish the courses.
Set goals at your own pace and make sure you still have time for other things that matter.
3. Peer Classes
You can always take a course with your friend to keep you motivated. You can help each other finish the course and also learn together. You can study together for the exams and talk about your thoughts about the lessons or modules. It’s important to feel motivated and do what you feel enhances your learning experience.
4. Study at your most convenient place
With online courses, you can learn anywhere – from your office desk, at home, or even in the library. You can access courses anytime, and anywhere. If you find it easier to study in a secluded place with no music or contact with other people, feel free to do it. Determine your most efficient study time and place, and take the course during that time. If you want to change your learning environment, you can always go out and study while at the park, at a coffee shop, or at home, while listening to music.
5. Share your journey
Sharing your journey reminds you why you started in the first place. Share your progress in your course and stay motivated, You can share it with your friends and recommend an online course which you think will benefit them. It’s important to also sacrifice something to gain something better. You may be paying for a certificate but when you think about all the benefits you can get, it becomes an investment.
6. Understand the online learning process
Online courses are not an easier way to learn. It can be as hard as courses you will take from universities. It is just a more convenient one. You need to manage your time and dedicate it to learning. Commitment is the first thing you need.
7. Internet Access
Last but not the least, you need to ensure that you have the right means of technology to pursue this course. A reliable internet connection is essential. What if your computer crashes while working on your course assignment? You should have a Plan B. You can use cloud storage such as Dropbox or Google Documents so you can work from home or from your smartphone or tablet just in case a technical glitch happens.
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By محمد جلال (May, 2017) |