Whether you’re a driven lifelong learner looking to enhance your abilities or an experienced professional looking to expand your knowledge, edX offers a wide choice of courses to match your learning objectives without breaking the bank, regardless of your level of expertise. Our extensive library of free online courses spans from data science and computer programming to the humanities, catering to the ever-evolving needs of the future labor market.
Discover learning outside conventional confines with an expert and all-inclusive platform designed for your development. Every free course at edX is intended to improve your knowledge, advance your abilities, and advance your career. Obtain a certificate program to demonstrate your commitment to study.
What makes free online courses unique is this:
Easy access: Take a lesson at any time or place. You are learning according to your schedule.
High quality: Classes designed by top organizations and professionals in the field.
Adaptability: Use self-guided learning pathways to study at your speed.
Workplace diversity: A wide range of subjects to satisfy the interests of all audiences and business needs.
Career advancement can be achieved by acquiring skills that improve employability.
UCSanDiegoX: Machine Learning Fundamentals
Do you wish to create systems with experience-based learning? or use data to build straightforward world prediction models?
This course, which is a component of the Data Science MicroMasters program, will teach you the theory and several supervised and unsupervised learning techniques.
You will get knowledge on how to classify photos, separate individuals based on personality profiles, recognize important subjects in a corpus of documents, and automatically extract and utilize word semantic structure for document classification through the use of real-world case studies.
Equipped with the understanding gained from this course, you will be capable of examining a wide range of data kinds and creating both descriptive and predictive models.
What you’ll learn
- Conditional probability estimation, regression, and classification
- Models that generate and discriminate
- Kernel approaches for extending linear models to nonlinearity
- Combination techniques: bagging, random forests, and boosting
- Clustering, dimensionality reduction, autoencoders, and deep networks are examples of representation learning.
BabsonX: Analytics for Decision-Making
Are you curious about how to make wise judgments with data?
Utilizing data to inform your decisions may provide you with a clear competitive edge in the business world. This course on statistics and data analysis will assist you in comprehending the basic ideas of good statistical reasoning, which can be used in a surprising variety of situations—sometimes even in the absence of data! We’ll focus on important ideas including identifying sources of variation, recognizing relative risk in various options, and comprehending variance.
Although the development of quantitative models has been driven by these overarching notions, they are often obscured by a maze of minute details and calculations in standard statistics courses. The concepts that truly matter are the main subject of this course, and we show them using engaging, useful, and approachable.
Anyone keen to have a foundation for making wise decisions should take this course. For those with a bachelor’s degree who are thinking about pursuing graduate work in a business subject, it will be an excellent preparation.
There are a lot of opportunities in analytics right now. While some software programs or approaches could be useful in securing entry-level positions, they might be quickly superseded by more recent and fashionable options. But knowing how quantitative models operate is a management-level ability that will probably never go out of vogue.
What you’ll learn
- Real-world variability and its effects on decision-making
- Data kinds, data quality, and suitable visualizations
- Analyse data before making managerial choices, particularly for startups.
- Making informed judgments from a state of no data to a state of enormous data: what information should be gathered, and how should it be used?
Conclusion
Edx gives a wide range of free courses to learn from. We at thelearningskills aim to provide you with all the right knowledgeable courses. These courses are fruitful for building the right career choices. You can explore the Edx for more courses to learn from. We know that learning never ends so it’s never too late to start. We recommend these courses as it will help you in your career growth and polish your skills.
