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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-and-analytics-for-data-science-and-machine-learning/
课程评论：没有评论
课程名称：Python与数据科学及机器学习分析 课程概述：本课程旨在为初学者和中级学习者提供Python编程概念及数据科学库的深入学习，适合学生、专业人士、数据科学家、商业分析师、数据工程师、机器学习工程师、项目经理、团队负责人及业务报告等相关人员。课程分为六个部分：章节、测验、课堂实践、作业练习、案例研究和项目。通过课堂授课、作业、案例研究和项目，学习者将实践和掌握相关概念。 本课程是数据科学入门及未来构建机器学习模型和分析的理想选择，涵盖成功所需的所有Python基础知识和数据科学概念，适用于学术和企业行业。学员将有机会在三个真实案例研究和两个真实项目中应用数据科学概念，案例研究包括贷款风险分析、流失预测和客户细分，项目涉及泰坦尼克号数据集和纽约出租车行程时长。 推荐的学习方式是按照章节顺序进行学习，自主完成所有实践练习。保持持续性、纪律性和实践是成功的关键。需要注意的是，本课程不会直接教授机器学习模型的构建与开发，但将使学习者精通构建机器学习模型所需的Python编程语言。
This course is meant for beginners and intermediates who wants to expert on Python programming concepts and Data Science libraries for analysis, machine Learning models etc.They can be students, professionals, Data Scientist, Business Analyst, Data Engineer, Machine Learning Engineer, Project Manager, Leads, business reports etc.The course have been divided into 6 parts - Chapters, Quizzes, Classroom Hands-on Exercises, Homework Hands-on Exercises, Case Studies and Projects.Practice and Hands-on concepts through Classroom, Homework Assignments, Case Studies and ProjectsThis Course is ideal for anyone who is starting their Data Science Journey and building ML models and Analytics in future.This course covers all the important Python Fundamentals and Data Science Concepts requires to succeed in Academics and Corporate Industry.Opportunity to Apply Data Science Concepts in 3 Real World Case Studies and 2 Real World Projects. The 3 Case Studies are on Loan Risk Analysis, Churn Prediction and Customer Segmentation.The 2 Projects are on Titanic Dataset and NYC Taxi Trip Duration.The recommended approach for this course - Follow the chapters in their order, Do Yourself all the Hands-on Exercises. Finally, Consistency, discipline and practice is paramount. This course will not teach you how to build and develop ML models. But, make you expert at python programming language which is needed to build ML models.
