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1. What is Data Science? | IBM
Link: https://www.ibm.com/topics/data-science
Description: WebWhat is data science? Data science combines math and statistics, specialized programming, advanced analytics, artificial intelligence (AI) and machine learning with specific subject matter expertise to uncover actionable insights hidden in an organization’s data. These insights can be used to guide decision making and strategic planning.
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2. What is Data Science? Definition, Examples, Tools & More
Link: https://www.datacamp.com/blog/what-is-data-science-the-definitive-guide
Description: WebData science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. In simpler terms, data science is about obtaining, processing, and analyzing data to gain insights for many purposes.
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3. Data science - Wikipedia
Link: https://en.wikipedia.org/wiki/Data_science
Description: WebData science is an interdisciplinary field [10] focused on extracting knowledge from typically large data sets and applying the knowledge and insights from that data to solve problems in a wide range of application domains. The field encompasses preparing data for analysis, formulating data science problems, analyzing data, developing data ...
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4. What is Data Science? | The Data Science Career Path - UCB-UMT
Link: https://ischoolonline.berkeley.edu/data-science/what-is-data-science/
Description: WebData science continues to evolve as one of the most promising and in-demand career paths for skilled professionals. Today, successful data professionals understand they must advance past the traditional skills of analyzing large amounts of data, data mining, and programming skills.
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5. What Is Data Science? Definition, Examples, Jobs, and More
Link: https://www.coursera.org/articles/what-is-data-science
Description: WebNov 29, 2023 · Data science is an interdisciplinary field that uses algorithms, procedures, and processes to examine large amounts of data in order to uncover hidden patterns, generate insights, and direct decision-making.
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6. What Is a Data Scientist? Salary, Skills, and How to Become One
Link: https://www.coursera.org/articles/what-is-a-data-scientist
Description: WebMar 15, 2024 · A data scientist uses data to understand and explain the phenomena around them, and help organizations make better decisions. Working as a data scientist can be intellectually challenging, analytically satisfying, and put you at the forefront of new technological advances.
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7. What Is Data Science? A Complete Guide. | Built In
Link: https://builtin.com/data-science
Description: WebApr 5, 2023 · Data science is a multidisciplinary field of study that applies techniques and tools to draw meaningful information and actionable insights out of noisy data. Involving subjects like mathematics, statistics, computer science and artificial intelligence, data science is used across a variety of industries for smarter planning and decision making.
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8. Data Science Principles | Harvard Online Course
Link: https://www.harvardonline.harvard.edu/course/data-science-principles
Description: WebData Science Principles is a Harvard Online course that gives you an overview of data science with a code- and math-free introduction to prediction, causality, data wrangling, privacy, and ethics. Featuring faculty from: Apply Now. Experience the Course. April 2024. Length. 4 weeks. 4–5 hours per week. Certificate Price. $950.
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9. What Is Data Science? Definition, Examples, Jobs, and More
Link: https://www.coursera.org/gb/articles/what-is-data-science
Description: WebNov 29, 2023 · Data science is an interdisciplinary field that uses algorithms, procedures, and processes to examine large amounts of data in order to uncover hidden patterns, generate insights, and direct decision making.
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10. Data Science Degrees Online | Coursera
Link: https://www.coursera.org/degrees/data-science
Description: WebA data science degree is a foundational credential that can lead to a number of career options. Between your subject knowledge and skills development, you can explore traditional data roles, like data analyst or data engineer, or pursue a career in machine learning, game development, or marketing.