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  2. 72% of Coursera participants surveyed reported career benefits - HBR

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  2. 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.

  3. 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]

  4. 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]

  5. Coursera - Wikipedia

    en.wikipedia.org/wiki/Coursera

    Called "Science Matters: Let's Talk About COVID-19", the course was the most popular launched on Coursera in 2020, with over 130,000 enrolled learners that year. [62] The course was presented by Jameel Institute research lead Professor Helen Ward and deputy director Dr Katharina Hauck , with specific modules in collaboration with other ...

  6. Training, validation, and test data sets - Wikipedia

    en.wikipedia.org/wiki/Training,_validation,_and...

    A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]

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

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

    OpenML: [493] Web platform with Python, R, Java, and other APIs for downloading hundreds of machine learning datasets, evaluating algorithms on datasets, and benchmarking algorithm performance against dozens of other algorithms. PMLB: [494] A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms ...

  8. Codecademy - Wikipedia

    en.wikipedia.org/wiki/Codecademy

    The platform provides a hands-on learning experience, allowing users to write and execute code directly within their web browsers. Codecademy offers courses covering languages such as Python, JavaScript, HTML/CSS, and Ruby, as well as specialized topics like web development, data science, and machine learning.

  9. Wes McKinney - Wikipedia

    en.wikipedia.org/wiki/Wes_McKinney

    Wes McKinney is an American software developer and businessman. He is the creator and "Benevolent Dictator for Life" (BDFL) of the open-source pandas package for data analysis in the Python programming language, and has also authored three versions of the reference book Python for Data Analysis.

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