Coursera 笔记

Module 01 · Defining Data Science and What Data Scientists Do

Summary: What Do Data Scientists Do?总结:数据科学家做什么?

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Congratulations! You have completed this lesson. At this point in the course, you know: 
恭喜!您已完成本课程。此时,您已经知道:

  • Data science is the study of large quantities of data, which can reveal insights that help organizations make strategic choices.
    数据科学是研究大量数据的一门学科,它能够揭示有助于组织做出战略选择的洞见。
  • There are many paths to a career in data science; most, but not all, involve math, programming, and curiosity about data.
    数据科学职业道路有很多条;大多数,但并非全部,都涉及数学、编程和对数据的求知欲。
  • New data scientists need to be curious, judgemental and argumentative.
    新数据科学家需要保持好奇心、判断力和辩论能力。
  •  Knowledgeable data scientists are in high demand. Jobs in data science pays high salaries for skilled workers.
    知识渊博的数据科学家需求量很大。数据科学领域的职位为熟练工人提供高薪。
  • The typical work day for a Data Scientist varies depending on what type of project they are working on.
    数据科学家的典型工作日因他们所从事的项目类型而异。
  • Many algorithms are used to bring out insights from data. 
    许多算法被用于从数据中提取见解。
  • Some key data science related terms you learned in this lesson include: outliers, model, algorithms, JSON, XML. CSV, and regression.
    本课程中你学习了以下一些关键数据科学相关术语:离群值、模型、算法、JSON、XML、CSV 和回归。