Use the existing information to uncover the actionable data.Īs a result, data Science discovers new Questions to drive innovation.Ĭheck data from the given information using a specialised system and software. Machine Learning, Hadoop, Java, Python, software development etc., are the tools of Data Science. Differentiate Between Data Analytics and Data Science Data Analyticsĭata Analytics use data to draw meaningful insights and solves problems.ĭata Science is used in asking questions, writing algorithms, coding and building statistical models.ĭata analytics tools include data mining, data modelling, database management and data analysis. Simply, data science means analysing data for actionable insights. Data Science is simply the application of specific principles and analytic techniques to extract information from data used in strategic planning, decision making, etc. Data Science combines statistics, maths, specialised programs, artificial intelligence, machine learning etc.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |