![]() Framing the Problem: Before solving a problem, it is important to know what the problem is data questions first have to be translated to actionable business questions.The six steps involved in the data science process are: Enroll in our Data Science training in Bangalore. Make a great command of Data Science and become an Expert. Data science blends business with computer science and statistics. It is an intersection of data and computing and is all about digging, capturing (building the model), analyzing (validating the model), and utilizing the data (deploying the best model). This, in turn, is used for building predictive, prescriptive, and prescriptive analytical models.ĭata science is related to big data, deep learning, and data mining. In the following year, Chikio Hayashi argued that data science should be an entirely new, interdisciplinary concept consisting of three aspects-data design, data collection, and data analysis.ĭata science is an interdisciplinary field or domain that involves the use of scientific methods, algorithms, processes, and systems to extract knowledge and insights from a large amount of structured and unstructured data. ![]() ![]() Jeff Wu suggested that statistics should be renamed data science. While data science, as a term, can be traced back to 1974, when Peter Naur proposed it as an alternative name for computer science, it was actually John Tukey, in 1962, who described a field that resembles modern data science and called it data analysis. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |