㈠A modern data ecosystem includes a network of interconnected and continually evolving entities that include:
①Data that is available in a host of different formats, structure, and sources.
②Enterprise Data Environment in which raw data is staged so it can be organized, cleaned, and optimized for use by end-users.
③End-users such as business stakeholders, □□ysts, and programmers who consume data for various purposes.
㈡Emerging technologies such as Cloud Computing, Machine Learning, and Big Data, are continually reshaping the data ecosystem and the possibilities it offers. Data Engineers, Data □□ysts, Data Scientists, Business □□ysts, and Business Intelligence □□ysts, all play a vital role in the ecosystem for deriving insights and business results from data.
㈢Based on the goals and outcomes that need to be achieved, there are four primary types of Data □□ysis:
①Descriptive □□ytics, that helps decode “What happened.”
②Diagnostic □□ytics, that helps us understand “Why it happened.”
③Predictive □□ytics, that □□yzes historical data and trends to suggest “What will happen next.”
④Prescriptive □□ytics, that prescribes “What should be done next.”
㈣The Data □□ysis process involves:
①Developing an understanding of the problem and the desired outcome.
②Setting a clear metric for evaluating outcomes.
③Gathering, cleaning, □□yzing, and mining data to interpret results.
④Communicating the findings in ways that impact decision-making.
作者有话要说：网站：coursera
课程：Introduction to Data □□ytics
