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所在平台: Udemy |
课程主页: https://www.udemy.com/course/one-week-of-data-science/
课程评论：没有评论
课程名称: 一周数据科学在Python中的应用 - 2025年新版！ 课程概述：想快速高效地学习数据科学并构建稳健的应用程序吗？这是为绝对初学者或者希望进入数据科学领域但时间紧迫的创业者量身定制的课程！数据科学是当前最热门的技术领域之一，拥有大量的机会与职业前景，广泛应用于银行、医疗、交通和技术等多个行业，帮助企业优化流程、增加收益和降低成本。本课程旨在用实用、简便、高效的方式在一周内提供数据科学的关键知识。 课程特点：该课程独特且卓越，包含多个实践机会、测验以及最终的综合项目。每天我们将一起花1-2小时掌握一个数据科学主题。课程内容包括：数据科学的必备基础知识、项目生命周期、招聘者需求和可用职位；使用Pandas、matplotlib和Seaborn库理解探索性数据分析和可视化技术；学习回归的基础知识以及如何使用Scikit Learn库构建、训练、测试和部署回归模型；掌握超参数优化策略，如网格搜索、随机搜索和贝叶斯优化；训练多种分类算法，包括逻辑回归、支持向量机、K最近邻、随机森林分类器和朴素贝叶斯；以及使用AutoGluon库实现数据科学自动化，快速原型化多个AI/ML模型并部署最佳模型。 目标人群：本课程适合所有希望获得数据科学基础知识并解决实际商业问题的朋友们。参与者将获得实际的项目学习经验，共同构建十多个项目，获取所有代码和幻灯片，并在完成课程后获得证书，可在LinkedIn上展示给潜在雇主。课程提供30天退款保证，让您无风险尝试。欢迎查看预览视频和课程大纲，及时报名，让我们一起掌握数据科学的力量吧！
Do you want to learn Data Science and build robust applications Quickly and Efficiently?Are you an absolute beginner who wants to break into Data Science and look for a course that includes all the basics you need?Are you a busy aspiring entrepreneur who wants to maximize business revenues and reduce costs with Data Science but lacks the time to do so quickly and efficiently?This course is for you if the answer is yes to any of these questions!Data Science is one of the hottest tech fields to be in now!The field is exploding with opportunities and career prospects.Data Science is widely adopted in many sectors, such as banking, healthcare, transportation, and technology.In business, Data Science is applied to optimize business processes, maximize revenue, and reduce cost.This course aims to provide you with knowledge of critical aspects of data science in one week and in a practical, easy, quick, and efficient way.This course is unique and exceptional in many ways. It includes several practice opportunities, quizzes, and final capstone projects.Every day, we will spend 1-2 hours together and master a data science topic.First, we will start with the Data Science essential starter pack and master key Data Science Concepts, including the Data Science project lifecycle, what recruiters look for, and what jobs are available.Next, we will understand exploratory data analysis and visualization techniques using Pandas, matplotlib, and Seaborn libraries.In the following section, we will learn about regression fundamentals. We will learn how to build, train, test, and deploy regression models using the Scikit Learn library.In the following section, we will learn about hyperparameter optimization strategies such as grid search, randomized search, and Bayesian optimization.Next, we will learn how to train several classification algorithms such as Logistic Regression, Support Vector Machine, K-Nearest Neighbors, Random Forest Classifier, and Naïve Bayes in SageMaker and SK-Learn libraries.Next, we will cover Data Science on Autopilot! We will learn how to use the AutoGluon library for prototyping multiple AI/ML models and deploying the best one.So who is this course for?The course targets anyone wanting to gain a fundamental understanding of Data Science and solve practical, real-world business problems.In this course:You will have an actual practical project-based learning experience. We will build over ten projects togetherYou will have access to all the codes and slidesYou will get a certificate of completion that you can post on your LinkedIn profile to showcase your skills in Data Science to employers.All this comes with a 30-day money-back guarantee, so you can give a course a try risk-free!Check out the preview videos and the outline to get an idea of the projects we will cover.Enroll today, and let's harness the power of Data Science together!
