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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-science-for-marketing-analytics/
课程评论：没有评论
课程名称：数据科学与市场分析 课程概述：数据科学与市场分析涵盖了数据分析的各个阶段，从处理原始数据集到根据细分人群建模不同的人群。课程首先教授如何使用Python库（如pandas和Matplotlib）读取数据、操作数据并创建图表，涉及分类变量和连续变量。接下来，您将学习如何将人群细分为不同组别，并使用不同的聚类技术评估客户细分。在章节中，您将探索评估和选择最佳细分方法的方式，并创建一个关于客户价值数据的线性回归模型，以预测客户终生价值。在最后的章节中，您将了解回归技术和评估回归模型的工具，并探索使用分类算法预测客户选择的方法。最终，您将应用这些技术创建一个客户流失模型以模拟客户的产品选择。通过此课程，您将能够建立自己的市场报告和交互式仪表板解决方案。 关于作者： - Tommy Blanchard获得罗彻斯特大学的博士学位，并在哈佛大学进行博士后训练。目前，他领导Fresenius Medical Care北美的数据科学团队，进行高级分析并创建预测模型，解决公司内的多种问题。 - Debasish Behera担任一家大型日本银行的数据科学家，使用机器学习/人工智能解决复杂问题。他曾处理过多个涉及反洗钱、预测分析、客户细分、聊天机器人和自然语言处理的案例。目前他居住在新加坡，并获得新加坡管理大学的商业分析硕士学位。 - Pranshu Bhatnagar在远程信息处理、保险和移动软件领域担任数据科学家。他曾在金融科技行业担任定量分析师，撰写关于算法、时间序列分析等内容的文章。他以优异成绩从金奈数学学院获得数学与计算机科学学位，并完成了海得拉巴信息技术国际学院的机器学习和人工智能认证课程，目前居住在印度班加罗尔。 - Candas Bilgin是经验丰富的数据科学专家，在医院和健康护理行业有着良好的工作记录。擅长Python、R、机器学习、预测分析和数据科学。他获得了伊斯坦布尔技术大学电气、电子与通信工程硕士学位，并是微软认证数据科学家和认证Tableau开发者。
Data Science for Marketing Analytics covers every stage of data analytics, from working with a raw dataset to segmenting a population and modeling different parts of the population based on the segments.The course starts by teaching you how to use Python libraries, such as pandas and Matplotlib, to read data from Python, manipulate it, and create plots, using both categorical and continuous variables. Then, you'll learn how to segment a population into groups and use different clustering techniques to evaluate customer segmentation. As you make your way through the chapters, you'll explore ways to evaluate and select the best segmentation approach, and go on to create a linear regression model on customer value data to predict lifetime value. In the concluding chapters, you'll gain an understanding of regression techniques and tools for evaluating regression models, and explore ways to predict customer choice using classification algorithms. Finally, you'll apply these techniques to create a churn model for modeling customer product choices.By the end of this course, you will be able to build your own marketing reporting and interactive dashboard solutions.About the AuthorTommy Blanchard earned his Ph.D. from the University of Rochester and did his postdoctoral training at Harvard. Now, he leads the data science team at Fresenius Medical Care North America. His team performs advanced analytics and creates predictive models to solve a wide variety of problems across the company.Debasish Behera works as a Data Scientist for a large Japanese corporate bank, where he applies machine learning/AI for solving complex problems. He has worked on multiple use cases involving AML, predictive analytics, customer segmentation, chat bots, and natural language processing. He currently lives in Singapore and holds a Master's in Business Analytics (MITB) from Singapore Management University.Pranshu Bhatnagar works as a Data Scientist in the telematics, insurance and mobile software space. He has previously worked as a Quantitative Analyst in the FinTech industry and often writes about algorithms, time series analysis in Python, and similar topics. He graduated with honours from the Chennai Mathematical Institute with a degree in Mathematics and Computer Science and has done certification courses in Machine Learning and Artificial Intelligence from the International Institute of Information Technology, Hyderabad. He is based out of Bangalore, India.Candas Bilgin is an experienced Data Science Specialist with a demonstrated history of working in the hospital & health care industry. Skilled in Python, R, Machine Learning, Predictive Analytics, and Data Science. Strong engineering professional with a Master of Science (M.Sc.) focused in Electrical, Electronics and Communications Engineering from Yildiz Technical University. He is a Microsoft Certified Data Scientist and also a Certified Tableau Developer.
