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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-science-quick-start/
课程评论：没有评论
**课程名称：** 数据科学速成：侧重相关性与Python **课程概述：** 本课程由拥有二十余年教学经验的专业数据科学家Adam Ross Nelson博士主讲。Nelson博士拥有教育学博士学位，曾教授过各年龄段、来自世界各地的学生，包括高中生、大学生、研究生以及资深专业人士，并经常帮助技术专业人士进入数据科学领域或提升现有技能。 **课程目标：** 本课程专为初学者设计，旨在帮助您快速入门数据科学。您将初步学习两个关键主题： 1. **相关性分析：** 学习并能够从头开始执行相关性分析。 2. **Python编程：** 掌握一些基本的Python编码技巧。 **课程内容与特点：** * **无先修要求：** 无需任何软件安装或预备知识。 * **实践导向：** 包含知识检测题，帮助您评估学习进度。 * **实战项目：** 课程设有顶点项目（Capstone experience），要求您使用Python从零开始实现相关性分析。 * **学习路线图：** 提供“数据科学速成之路”的学习建议，包含执行相关性分析、学习基础编码技巧、在Python中从头实现相关性分析等步骤。 * **进阶指导：** 完成核心内容后，课程将提供后续学习的指南和建议。 **学习成果：** 完成本课程后，您将能够： * 理解并执行相关性分析。 * 掌握基本的Python编程技能。 * 将所学知识应用于实际的数据分析任务。 * 为进一步深入学习数据科学打下坚实基础。
Taught by a professional data scientist with more than 20 years of experience in teaching and education. Dr. Adam Ross Nelson has taught students of all ages and throughout the world. He has a PhD in Education. He has also taught high school students, college students, graduate students, and seasoned professionals. He also frequently helps technical professionals enter and level up in data science.Everyone has to start someplace! A "quick start" in data science isn't a contradiction in terms! This course is for beginners.Students will learn to get started with Data Science, quick. This course will teach the rudiments of two topics.First, it will teach correlation analysis.Second, it will teach Python.There are knowledge checks to help students assess their own learning.There is also a capstone experience. The capstone experience will ask students to implement correlation analysis from scratch in Python. There are no prerequisites.This course does not require software installation.More about the suggested roadmap: The Road To A Quick Start In Data ScienceLearn, or re-learn to execute correlation analysis from scratch.Learn a few simple coding techniques.Execute correlation analysis from scratch in python.Keep going! If that is what you want. Don't look back.Once you finish with these four steps, there will be more work ahead. Inside this course are guides and suggestions for next steps.
