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2. National Programme on Technology Enhanced Learning

   en.wikipedia.org/wiki/National_Programme_on...

   All courses are free to enrol and learn from. The certification exam is optional and comes at a fee of Rs 1000 per course exam. Course credits can also be transferred to other higher education institutions student or the Academic Bank of Credits under the UGC guidelines. NPTEL courses aim for equitable access.

3. Coursera - Wikipedia

   en.wikipedia.org/wiki/Coursera

   The free courses (also called "auditing a course") do not include a certificate of completion or grades or any other instructor feedback. A free course can be "upgraded" to the paid version of a course, which includes instructor's feedback and grades for the submitted assignments, and (if the student gets a passing grade) a certificate of ...

4. WorldQuant University - Wikipedia

   en.wikipedia.org/wiki/WorldQuant_University

   WorldQuant University currently offers an entirely-free, two-year Master of Science in Financial Engineering (MScFE) degree program and a free, self-paced Applied Data Science Lab. Successful completion of the former results in the student earning an accredited Master's degree; upon completion of the latter, students attain a shareable Credly ...

5. List of academic databases and search engines - Wikipedia

   en.wikipedia.org/wiki/List_of_academic_databases...

   Includes text mining tools and links to external molecular and medical data sets. Free Yes EMBL-EBI: PubMed Central (PMC) [13] Biomedical, life sciences: 7,500,000 Free full-text archive of publications and preprints Free Yes NIH, NLM: ResearchGate: Multidisciplinary: 4,000,000 [citation needed] Commercial social networking site for scientists ...

6. Data science - Wikipedia

   en.wikipedia.org/wiki/Data_science

   Data science is multifaceted and can be described as a science, a research paradigm, a research method, a discipline, a workflow, and a profession. [4] Data science is "a concept to unify statistics, data analysis, informatics, and their related methods" to "understand and analyze actual phenomena" with data. [5]

7. List of datasets for machine-learning research - Wikipedia

   en.wikipedia.org/wiki/List_of_datasets_for...

   High-quality labeled training datasets for supervised and semi-supervised machine learning algorithms are usually difficult and expensive to produce because of the large amount of time needed to label the data. Although they do not need to be labeled, high-quality datasets for unsupervised learning can also be difficult and costly to produce ...

8. Master in Data Science - Wikipedia

   en.wikipedia.org/wiki/Master_in_Data_Science

   A Master of Science in Data Science is an interdisciplinary degree program designed to provide studies in scientific methods, processes, and systems to extract knowledge or insights from data in various forms, either structured or unstructured, [1] [2] similar to data mining.

9. Berkeley Institute for Data Science - Wikipedia

   en.wikipedia.org/wiki/Berkeley_Institute_for...

   The initiative was announced at a White House Office of Science and Technology Policy event to highlight and promote advances in data-driven scientific discovery, and is a core component of the National Science Foundation's strategic plan for building national capacity in data science. [8] [9] [10]