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所在平台: Udemy |
课程主页: https://www.udemy.com/course/intro-to-online-market-research/
课程评论：没有评论
## 课程总结：在线定量市场研究导论 本课程面向所有希望掌握数据驱动型决策能力的商业人士和学生，全面介绍在线定量市场研究的核心知识和技能。在数字化时代，快速响应市场变化对企业至关重要，而市场研究能力已不再是研究专员的专属技能，而是市场营销、金融、人力资源等各个领域的必备能力。 讲师拥有超过十年的市场研究行业经验，深刻理解企业在研究过程中面临的挑战。本课程聚焦于通过手机或网页调查收集数据的“在线定量市场研究”，强调其快速获取海量数据的优势，同时也警示设计中的细微错误可能对数据质量造成的巨大影响。 课程包含 40 多个讲座和 10 小时的视频内容，旨在帮助学员成为在线市场研究专家。主要内容涵盖： * **市场研究类型概览**：区分不同类型的市场研究，并重点介绍在线定量研究的独特性。 * **研究目标解析**：学习如何清晰地界定和解读研究目标。 * **问卷设计**：掌握专业、有效的问卷设计方法。 * **调查程序编程**：了解如何进行在线调查的程序化设置。 * **实地调研执行**：学会如何有效地开展在线数据收集工作。 * **数据清洗与处理**：掌握数据清理和预处理的关键步骤。 * **数据分析与解读**：学习如何对收集到的数据进行分析并得出有价值的商业洞察。
Let's face it, businesses need to move fast today to maintain a competitive edge, and the importance of making data-driven decisions is now a requirement for any business to survive. Possession of basic knowledge and skills in market research is quickly becoming the norm for everyone across the business, not just those who have "research" in their title. Whether you work in marketing, finances, HR, or even if you're a student preparing to enter the workforce, understanding how to design and execute market research is essential.I designed this course based on more than 10 years of knowledge and experience working directly in the research industry. I've worked in both the buy and sell-side of research, and so I understand the challenges people face when trying to get answers to their key business questions through market research.This course focuses on one specific type of research, which is online market research where you collect data through mobile or web-based surveys. Online research can get you scaled data fast, but small mistakes in your research design can have huge implications for data quality.Over the courses of 40+ lectures and 10 hours of on-demand video training, we'll cover everything you need to know in order to become an online market research PRO, including:What are the different types of market research, and how is quant online research differentHow to unpack your research objectiveQuestionnaire designSurvey programmingConducting fieldworkData cleaning and processingData analysis and interpretation
