|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-science-for-business-6-real-world-case-studies/
课程评论：没有评论
课程名称：商业数据科学与6个真实案例研究 课程概述：你是否正在寻找一份高薪的数据科学职位？或者，你是一名有经验的人工智能从业者，想要将自己的职业生涯提升到一个新高度？又或者，你是一位有抱负的企业家，希望通过数据科学和人工智能来最大化商业收入？如果你的回答是肯定的，那么这门课程正适合你！数据科学是目前最热门的技术领域之一，充满了机遇和职业前景。数据科学在金融、医疗保健、交通和技术等诸多行业中得到了广泛应用。在商业中，数据科学被用于优化业务流程、最大化收入和降低成本。本课程旨在以实用、简便且有趣的方式，向你介绍数据科学在商业中应用的关键方面，提供基于真实数据集的实践经验。 在本课程中，我们将假设你是一名经验丰富的数据科学家，最近被聘为多个客户的数据科学顾问。你需应用数据科学技术于以下6个部门：(1) 人力资源，(2) 营销，(3) 销售，(4) 运营，(5) 公共关系，(6) 生产/维护。你将获得来自所有这些部门的数据集，并被要求完成以下任务： 任务#1 @人力资源部门：开发AI模型，通过预测可能离开公司的员工，降低员工的招聘和培训成本。 任务#2 @营销部门：通过客户细分来优化营销策略。 任务#3 @销售部门：开发时间序列预测模型，预测未来产品价格。 任务#4 @运营部门：开发深度学习模型，自动化和优化医院的疾病检测流程。 任务#5 @公共关系部门：开发自然语言处理模型，分析社交媒体上的客户评论，识别客户情感。 任务#6 @生产/维护部门：开发缺陷检测、分类和定位模型。 这门课程将为你提供宝贵的实践经验，帮助你在商业环境中充分利用数据科学的能力。
Are you looking to land a top-paying job in Data Science?Or are you a seasoned AI practitioner who want to take your career to the next level?Or are you an aspiring entrepreneur who wants to maximize business revenue with Data Science and Artificial Intelligence?If the answer is yes to any of these questions, then this course is for you!Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, transportation and technology.In business, Data Science is applied to optimize business processes, maximize revenue and reduce cost. The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.In this course, we will assume that you are an experienced data scientist who have been recently as a data science consultant to several clients. You have been tasked to apply data science techniques to the following 6 departments: (1) Human Resources, (2) Marketing, (3) Sales, (4) Operations, (5) Public Relations, (6) Production/Maintenance. Your will be provided with datasets from all these departments and you will be asked to achieve the following tasks:Task #1 @Human Resources Department: Develop an AI model to Reduce hiring and training costs of employees by predicting which employees might leave the company.Task #2 @Marketing Department: Optimize marketing strategy by performing customer segmentationTask #3 @Sales Department: Develop time series forecasting models to predict future product prices.Task #4 @Operations Department: Develop Deep Learning model to automate and optimize the disease detection processes at a hospital.Task #5 @Public Relations Department: Develop Natural Language Processing Models to analyze customer reviews on social media and identify customers sentiment.Task #6 @Production/Maintenance Departments: Develop defect detection, classification and localization models.
