|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/careers-in-data-and-information-management/
课程评论：没有评论
课程名称：数据职业、信息职业、分析职业 课程概述：数据和信息管理领域充满机会，非常需要优秀的人才。近年来，科技工作岗位经历了爆炸性的增长，而美国劳动统计局（BLS）预计这种趋势将在未来十年内持续。增长和机会源于数据量的增加、技术进步以及企业对洞察力和创新的需求。数据和信息管理领域的职业机会遍及九个学科和数十个专业。为了将机会转变为现实，需要明确的方向。这个课程旨在帮助你解答哪些信息管理学科适合自己，符合自己的兴趣、技能和经验，帮助你规划职业道路。 本课程适合所有开始数据职业或信息职业的人，以及希望通过更新和调整职业方向来跟上技术进步和创新的资深IT专业人士。 你将学习到： - 数据与信息管理的三个主要领域：数据管理、商业智能和分析，以及它们各自的组成部分。 - 九个数据和信息管理学科的目的、流程和活动。 - 最近出现的角色，如数据策展人、数据工程师和数据科学家。 这个课程为你提供了一个明确的框架，帮助你在数据和信息管理的职业发展中做出明智的选择。
The field of data and information management is rich with opportunities and much in need of talented people. We have experienced explosive growth of tech jobs in recent years and the Bureau of Labor Statistics (BLS) predicts that trend to continue for at least a decade. Growth and opportunity are driven by increasing volumes of data, technological advances, and business needs for insight and innovation. Career opportunities are abundant across nine disciplines and dozens of specialties in data and information management. But it takes focus to turn opportunity into reality. Which information management disciplines are right for you? Which are good matches for your interests, skills, and experiences? Where do you want to go now? And where next? This course provides and overview of each the disciplines to help you answer those questions.The course is designed for anyone getting started with a data career or an information career, as well as veteran IT professionals seeking to refresh and redirect their careers to keep pace with the continuing stream of technical advances and innovations.What You'll Learn (Data Science, Data Engineering, Data Analysis, Data Architects, Data Management, Project Management)The three main areas of Data and Information Management - Data Management, Business Intelligence, and Analytics - and what comprises each of themNine disciplines of Data and Information Management and the purposes, processes, and activities of eachRecently emerged roles in Data and Information Management such as data curator, data engineer, and data scientist
