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PurdueX: Probability: Basic Concepts & Discrete Random Variables
Learn fundamental concepts of mathematical probability to prepare for a career in the growing field of information and data science.
IBM: IBM Cloud Professional Architect
Cloud computing never stops changing. And Cloud professionals are always growing and learning as the industry evolves.
IBM: Introduction to Statistics for Data Science using Python
This Statistics for Data Science course is designed to introduce you to the basic principles of statistical methods and procedures used for data analysis.
GeorgetownX: Demystifying Biomedical Big Data: A User’s Guide
Whether you are a student, basic scientist, researcher, clinician, or librarian, this course is designed to help you understand, analyze, and interpret biomedical big data.
IBM: Deep Learning Fundamentals with Keras
New to deep learning? Start with this course, that will not only introduce you to the field of deep learning but give you the opportunity to build your first deep learning model using thepopular Keras library.
UCSanDiegoX: Introduction to Genomic Data Science
Join us on the frontier of bioinformatics and learn how to look for hidden messages in DNA without ever needing to put on a lab coat.
HarvardX: Quantitative Methods for Biology
Learn introductory programming and data analysis in MATLAB, with applications to biology and medicine.
HarvardX: Introduction to Data Science with Python
Learn the concepts and techniques that make up the foundation of data science and machine learning.
edX: Try It: Intro to Python
If you want to learn to code with Python, this free course will give you an overview of the ins and outs of Python basics. Try our no-risk course today and see why Python has become one of the world’s most popular and in-demand programming languages. No previous coding experience required.
Statistics.comX: MLOps2 (AWS): Data Pipeline Automation & Optimization using Amazon Web Services
Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how to automate your pipeline’s functions and continuously optimize its performance, which is why we developed this course - MLOps2 (AWS): Data Pipeline Automation & Optimization using Amazon Web Services.
Statistics.comX: Applied Data Science Ethics
AI’s popularity has resulted in numerous well-publicized cases of bias, injustice, and discrimination. Often these harms occur in machine learning projects that have the best of goals, developed by data scientists with good intentions. This course, the second in the data science ethics program for both practitioners and managers, provides guidance and practical tools to build better models and avoid these problems.
Statistics.comX: MLOps2 (GCP): Data Pipeline Automation & Optimization using Google Cloud Platform
Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how to automate your pipeline’s functions and continuously optimize its performance, which is why we developed this course, MLOps2 (GCP): Data Pipeline Automation & Optimization using Google Cloud Platform.
GoogleCloud: Modernizing Data Lakes and Data Warehouses with Google Cloud
This course is intended for developers who are responsible for: Querying datasets, visualizing query results, and creating reports. Specific job roles include: Data Engineer, Data Analyst, Database Administrators, Big Data Architects.
Statistics.comX: Principles of Data Science Ethics
Concern about the harmful effects of machine learning algorithms and AI models (bias and more) has resulted in greater attention to the fundamentals of data ethics.
Statistics.comX: MLOps1 (GCP): Deploying AI & ML Models in Production using Google Cloud Platform
Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how data engineers can effectively work with data scientists to monitor and iterate on model performance, which is why we developed this course: MLOps1 (GCP) - Deploying AI & ML Models in Production using Google Cloud Platform
UMontrealX: Bias and Discrimination in AI
Discover how even computer algorithms may be biased and have a serious impact on our every day lives. In this MOOC, based on an IVADO School involving various international experts in the field, you will learn how to identify and alleviate bias and discrimination in Artificial Intelligence.
UTAustinX: LAFF-On Programming for High Performance
Learn to squeeze high performance out of modern CPUs.
Statistics.comX: MLOps2 (Azure): Data Pipeline Automation & Optimization using Microsoft Azure Machine Learning
Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how to automate your pipeline’s functions and continuously optimize its performance, which is why we developed this course, MLOps2 (Azure): Data Pipeline Automation & Optimization using Microsoft Azure Machine Learning
MichiganX: Data Science Ethics
Learn how to think through the ethics surrounding privacy, data sharing, and algorithmic decision-making.
ChalmersX: Road Traffic Safety in Automotive Engineering
Learn the fundamentals of passive and active safety in automotive engineering
HKUSTx: Big Data Technology Capstone Project
The Big Data Technology Capstone Project will allow you to apply the techniques and theory you have gained from the four courses in this MicroMasters program to a medium-scale project.
Statistics.comX: MLOps1 (AWS): Deploying AI & ML Models in Production using Amazon Web Services
Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how data engineers can effectively work with data scientists to monitor and iterate on model performance, which is why we developed this course: MLOps1 (AWS) - Deploying AI & ML Models in Production using Amazon Web Services.
UMontrealX: Machine Learning Use Cases in Finance
In the last six years, the financial sector has seen an increase in the use of machine learning models in financial, banking and insurance contexts. Data science and advanced analytics teams in the financial and insurance community are implementing these models regularly and have found a place for them in their toolbox.
GoogleCloud: Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
This final course in the Google Cloud Computing Foundations Professional Certificate reviews managed big data services, machine learning and its value, and how to demonstrate your skill set in Google Cloud.
Key Features of EdX
- Wide Range of Courses: EdX offers a comprehensive catalog of courses across multiple disciplines. You can find courses in business management, healthcare, engineering, computer science, and even niche areas like ethical hacking or environmental sustainability.
- Collaborations with Top Institutions: One of the distinguishing factors of EdX is its partnerships with prestigious universities like Harvard, MIT, UC Berkeley, and many more. These institutions offer courses that are designed by their top faculty members, ensuring high academic standards.
- Flexible Learning Paths: Whether you want to take a short course or complete a full degree program, EdX offers flexible learning paths. Learners can choose between free courses, paid verified certificates, and comprehensive degree programs, allowing them to customize their education according to their needs and budget.
- MicroMasters Programs: EdX introduced the concept of MicroMasters, which are a series of graduate-level courses that can be applied towards an actual master’s degree at select universities. This allows learners to test the waters before committing to a full degree program, all while earning credits that are recognized by participating institutions.
- Professional Certificates and Executive Education: For those looking to advance in their careers, EdX offers Professional Certificates and Executive Education Programs. These programs are specifically designed to meet industry standards and equip learners with skills that are immediately applicable in the workplace.
EdX’s Impact on Global Education
EdX has transformed the educational landscape by making learning more inclusive and accessible. The platform reaches millions of students across the world, including learners in developing nations where access to quality education is limited. By providing affordable or even free courses, EdX empowers individuals to improve their lives, enhance their careers, and contribute to their communities. EdX’s Open edX platform is another way the organization is making a difference. Open edX is an open-source software that other institutions can use to create and distribute their own educational content. This further amplifies EdX’s mission to increase access to education globally.Certifications and Degrees from EdX
One of EdX’s standout features is the opportunity to earn certifications and degrees from top universities and companies. These credentials are recognized worldwide and can give learners a significant advantage in the job market. EdX offers a range of credential programs, including:- Verified Certificates: For learners who want proof of course completion, verified certificates provide credibility to employers and institutions.
- MicroMasters: Graduate-level courses that count towards a full master’s degree at partnered institutions.
- Professional Certificates: Designed by industry experts, these certificates help learners gain skills that are highly sought after in the workforce.
- Online Master’s Degrees: Earn a full degree from institutions like the University of Texas, Boston University, and more, entirely online.
Who Should Use EdX?
EdX is suitable for a wide range of learners, from high school students to working professionals. If you’re looking to:- Advance your career: EdX offers professional certificates and degree programs that can help you gain the skills and credentials needed to move up in your career.
- Enhance your knowledge: Whether you're curious about a particular subject or want to gain in-depth knowledge, EdX offers courses across a wide array of disciplines.
- Switch careers: With programs in high-demand fields like data science, AI, and business management, EdX provides an opportunity to pivot into new career paths.
Why Choose EdX Over Other Platforms?
While there are several online learning platforms available today, EdX stands out for its unique focus on high-quality, academically rigorous courses. Here’s why EdX is a top choice:- Prestige: Courses are taught by professors from the world’s top universities, giving learners access to the same education as on-campus students.
- Affordability: EdX offers free access to course materials, and learners can opt to pay for certificates or degrees at a fraction of traditional costs.
- Flexibility: You can learn at your own pace, making it easier to balance studies with work, family, or other commitments.
- Global Reach: Whether you’re in a big city or a rural village, as long as you have internet access, you can join the EdX community and learn from the best.