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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-science-project-planning/
课程评论：没有评论
**课程名称：** 数据科学项目规划 **课程概述：** 本课程旨在强调数据科学项目规划的重要性，指出许多此类项目因初期规划不足而未能达到预期。课程将深入探讨数据科学项目成功的核心规划活动，包括： * **明确业务问题：** 学习如何清晰地界定项目所要解决的业务挑战。 * **定义数据科学问题：** 将业务问题转化为可供数据科学方法解决的具体问题。 * **评估项目现状：** 了解项目实施过程中需考虑的各种因素，如数据可用性、资源情况、潜在风险、成本估算和预期的收益。 * **制定项目计划：** 学习如何安排任务和交付物，以实现早期且持续的增量交付有价值、可操作的见解。 **课程学习目标：** 通过本课程的学习，学员将能够： * 有效地构建和表述业务问题。 * 获得利益相关者的支持和认同。 * 识别能有效解决业务问题的数据科学解决方案。 * 定义成功的标准和评估关键项目交付物（如模型、数据管道和文档）的指标。 * 全面评估影响项目的现有情况。 * 制定能够实现早期和持续增量价值交付的项目时间表。 * 理解项目团队所需具备的属性以及沟通需求。
Success of any project depends highly on how well it has been planned. Data science projects are no exception.Large number of data science projects in industrial settings fail to meet the expectations due to lack of proper planning at their inception stage.This course will provide a overview of core planning activities that are critical to the success of any data science project.We will discuss the concepts underlying - Business Problem Definition; Data Science Problem Definition; Situation Assessment; Scheduling Tasks and Deliveries. The concepts learned will help the students in:A) Framing the business problem B) Getting buy-in from the stakeholders C) Identifying appropriate data science solution that can solve the business problem D) Defining success criteria and metrics to evaluate the key project deliverables viz; models, data flow pipeline and documentation. E) Assessing the prevailing situation impacting the project. For e.g. availability of data and resources; risks; estimated costs and perceived benefits. F) Preparing delivery schedules that enable early and continuously incremental valuable actionable insights to the customers G) Understanding the desired team attributes and communication needs
