|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/full-stack-data-science-course/
课程评论：没有评论
**课程名称：** 全栈数据科学课程 - 成为一名数据科学家 **课程概述：** 本课程由 The Click Reader 创建，旨在帮助学员掌握成为一名数据科学家所需的工程、分析、构建和部署智能机器学习模型的能力。该课程紧随市场对数据科学家的高需求，全面涵盖了数据科学项目生命周期的每个阶段。 **核心学习内容：** * **数据工程与处理：** * 学习如何收集、清洁和存储数据到数据仓库。 * **探索性数据分析 (EDA)：** * 掌握使用统计和图形分析方法对收集的数据进行深入的探索性数据分析。 * **机器学习模型构建：** * 遵循一个为期六个阶段的机器学习工作流程，从零开始创建强大且可靠的数据模型。 * **模型部署：** * 学习使用 Flask 这一快速、简单且可扩展的 Web API 框架将创建的数据模型部署到生产环境中。 **课程价值：** 完成本课程后，学员将具备将下一个数据科学项目付诸实践的必要技能。 **为何选择本课程？** * **2021年更新内容：** 所有课程内容均根据市场最新的技术和工具进行更新。 * **实践操作知识：** 课程侧重于提供一步一步的实践指南，而非仅仅停留在理论层面。 * **指导式支持：** 课程团队通过问答环节提供持续指导，鼓励学员积极提问。 **课程特色：** 本课程提供沉浸式学习体验，致力于培养学员在数据科学全栈流程中的实际操作能力。
Get educated and obtain the skills necessary as a Data Scientist to engineer, analyze, build, and deploy intelligent Machine Learning models in this immersive, Full Stack Data Science Course created by The Click Reader.This course addresses the huge demand for data scientists and covers each stage of the entire data science project lifecycle. You will learn how to collect, clean, and store data into a data warehouse as well as perform Exploratory Data Analysis (EDA) on the collected data using statistical and graphical analysis.Then onwards, this course will guide you through a six-stage Machine Learning workflow aimed at creating powerful and robust data models from scratch. This course will also take you through the process of deploying the created data model into production using a fast, simple, and extensible Web API framework called Flask.By the end of this course, you will leave with the necessary skills to make your next data science project a reality.Why you should take this course?Updated 2021 course content: All our course content is updated as per the latest technologies and tools available in the marketPractical hands-on knowledge: This course is oriented to providing a step-by-step implementation guide rather than just sticking to the theory.Guided support: We are always there to guide you through the Q/As so feel free to ask us your queries.
