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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/what-is-datascience
课程评论：没有评论
课程名称：数据科学是什么？ 概述： 数据科学是从古代以来就存在的揭示数据中洞察与趋势的艺术。古埃及人利用人口普查数据提高税收效率，并且每年准确预测尼罗河的洪水。从那时起，数据科学工作者已经开辟了一个独特而独特的领域。在此课程中，我们将见到一些数据科学从业者，并对现在的数据科学有一个全面的了解。 课程大纲： 模块1：定义数据科学及数据科学家所做的事情 在这一模块中，你将深入了解数据科学的基础知识。第一课中，你会聆听行业内其他专业人士对数据科学的定义和他们走入数据科学职业的经历。探索数据科学家所履行的不同角色，数据分析在数据科学中的应用，以及他们如何通过特定流程来回答数据相关问题。 第二课将重点讨论数据科学家的日常活动，包括了解专业人士所解决的各种现实世界的数据科学问题，成为成功数据科学家所需的技能和素质，以及对“大数据”与这些技能的关系的看法。你还将了解数据科学家所使用的多种数据格式和处理数据时使用的算法。 模块2：数据科学主题 在这一模块的第一节课中，你将深入了解大数据对各个社会方面的影响，从商业运营到体育，并理解与大数据相关的关键属性和挑战。你将学习大数据的基础知识，数据科学家如何利用云计算处理大数据，以及数据挖掘过程。第二课深入探讨机器学习和深度学习及人工智能与数据科学之间的关系。 模块3：数据科学的应用与职业 第一节课中，你将学习数据科学应用的强大功能，以及组织如何利用这种能力驱动业务目标、提高效率、做出预测，甚至拯救生命。你还将回顾数据科学家帮助组织实现这些目标的过程。第二节课中，你将研究企业在寻找合格、有经验的数据显示师时的需求，你将学习如何定位自己以便成功应聘数据科学家的职位。在数据科学家所来自的多样化背景中，找出他们所具备的共同素质以及能够将他们与其他数据相关角色区分开来的技能。课程最后，你将完成一个同行评审的项目，查看数据科学家的职位招聘信息，识别课程中所学内容与职位之间的共同点，并通过案例研究了解Sarah的数据显示师之旅。
Name:Defining Data Science and What Data Scientists Do
Description:In Module 1, you delve into some fundamentals of Data Science. In lesson 1, you listen to how other professionals in the field define what data science is to them and the paths they took to consider data science as a career for themselves. You explore different roles data scientists fulfill, how data analysis is used in data science, and how data scientists follow certain processes to answer questions with that data. Moving on to Lesson 2, the focus shifts to the daily activities of data scientists. This encompasses learning about various real-world data science problems that professionals solve, the skills and qualities needed to be a successful data scientist, and opinions on how “big data” relates to those skills. You also learn a little about various data formats data scientists work with and algorithms used in the field to process data.
Name:Data Science Topics
Description:In the first lesson in this module, you gain insight into the impact of big data on various aspects of society, from business operations to sports, and develop an understanding of key attributes and challenges associated with big data. You will learn about the big data fundamentals, how data scientists use the cloud to handle big data, and the data mining process. Lesson two delves into machine learning and deep learning and the relationship of artificial intelligence to data science.
Name:Applications and Careers in Data Science
Description:In the first lesson, you learn about the power of data science applications and how organizations leverage this power to drive business goals, improve efficiency, make predictions, and even save lives. You also reviewed the process you will follow as a data scientist to help your organization accomplish these ends. In the second lesson, you investigate what companies seek in a competent, experienced data scientist. You will learn how to position yourself to get hired as a data scientist. Amidst the diverse backgrounds from which data scientists emerge, you identify the qualities they share and skills that consistently set them apart from other data-related roles. You will complete a peer-reviewed final project by looking at a job posting for data scientist and identifying commonalities between the job and what you learned in this course. You will also walk through a case study, where you learn about Sarah and her data science journey.
The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. Since then, people working in data science have carved out a unique and distinct field for the work they do. This field is data science. In this course, we will meet some data science practitioners and we will get an overview of what data science is today.
