Data science

In this article I’ll answer a very simple question: What is data science? Well, the question is simple, sure… But the answer is rather complex. The problem is that there are no generally accepted definitions. But in this article, I’ll show you many important aspects of data science. And by the end, you’ll have a pretty clear mental picture about what it is exactly! [New] The video version of this article Do you prefer watching this in video format? Here you go: What is data science? A broad definition What is data science? A broad definition would be something like this: You have a large amount of data and you’re trying to extract something smart and useful from it. That’s abstract, I know… Maybe a bit of an oversimplification, too. So here’s an everyday example to help you understand it. Note: It’ll be an everyday example intentionally, but read it carefully and you’ll see the business parallels, too! Okay, let’s see it! An everyday example I’m sure you have seen smart watches — or maybe you use one, too. These smart gadgets can measure your sleep quality, how much you walk, your heart rate, etc. some usual smartwatch stats Let’s take sleep quality, for instance! If you check every single day, how did you sleep the night before, that’s 1 data point for every day. Let’s say that you enjoyed excellent sleep last night: you slept 8 hours, you didn’t move too much, you didn’t have short awakenings, etc. That’s a data point. The day after, you slept slightly worse: only 7 hour...

What You'll Learn What is data science, and how can it help you make sense of the infinite data, metrics, and tools that are available today? Data science is at the core of any growing modern business, from health care to government to advertising and more. Insights gathered from data science collection and analysis practices have the potential to increase quality, effectiveness, and efficiency of work output in professional and personal situations. Data Science Principles makes the foundational topics in data science approachable and relevant by using real-world examples that prompt you to think critically about applying these understandings to your workplace. Get an overview of data science with a nearly code- and math-free introduction to prediction, causality, visualization, data wrangling, privacy, and ethics. Data Science Principles is an introduction to data science course for anyone who wants to positively impact outcomes and understand insights from their company’s data collection and analysis efforts. This online certificate course will prepare you to speak the language of data science and contribute to data-oriented discussions within your company and daily life. This is a course for beginners and managers to better understand what data science is and how to work with data scientists. Data Science Principles is part of our Harvard on Digital Learning Path. The Harvard on Digital course series provides the frameworks and methodologies to turn data into insight, t...

Bachelor of Science in Data Science Learn how to analyze, manage and track big data with the Bachelor of Science in Data Science at Temple University’s College of Science and Technology. Data scientists work to draw insights from large quantities of both structured and unstructured data. Students in the Data Science program will be entering a high-demand field. The need for trained data scientists is expected to Data Science Majors at Temple will gain a specialized education in the field by choosing one of three concentrations and then following a tailored curriculum over the course of four years. Specialization means that graduates with a degree in Data Science are well prepared for math, medical and science career opportunities that seek niche skills. Major requirements and credit hours will vary with concentrations. • Computation and Modeling Mold data generated by complex physical systems into detailed models that facilitate decision-making for scientists and other professionals. Master computational methods and techniques, data analysis, mathematics and physics. Read more about the Bachelor of Science in Data Science, Computation and Modeling concentration. View Concentration Details • Computational Analytics Gain expertise in the methods and systems, including algorithmic and computational thinking, computer systems and data analysis, and mathematics, that are used to extract knowledge from data sets. Read more about the Bachelor of Science in Data Science, Computati...

Data science is the study of data to extract meaningful insights for business. It is a multidisciplinary approach that combines principles and practices from the fields of mathematics, statistics, artificial intelligence, and computer engineering to analyze large amounts of data. This analysis helps data scientists to ask and answer questions like what happened, why it happened, what will happen, and what can be done with the results. Data science is important because it combines tools, methods, and technology to generate meaning from data. Modern organizations are inundated with data; there is a proliferation of devices that can automatically collect and store information. Online systems and payment portals capture more data in the fields of e-commerce, medicine, finance, and every other aspect of human life. We have text, audio, video, and image data available in vast quantities. While the term data science is not new, the meanings and connotations have changed over time. The word first appeared in the ’60s as an alternative name for statistics. In the late ’90s, computer science professionals formalized the term. A proposed definition for data science saw it as a separate field with three aspects: data design, collection, and analysis. It still took another decade for the term to be used outside of academia. Artificial intelligence and machine learning innovations have made data processing faster and more efficient. Industry demand has created an ecosystem of courses, d...