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所在平台: Coursera专项课程 课程类别: 计算机科学 大学或机构: CourseraNew |
课程主页: https://www.coursera.org/specializations/jhu-data-science
课程评论：没有评论
数据科学专业化课程概述 该课程名为“数据科学专业化”，旨在教授学生整个数据科学流程所需的概念和工具。通过本课程，您将学习如何提出合适的问题、处理数据集并创建可视化效果，以有效传达分析结果。 课程内容涵盖了从提问到推理和结果发布的不同阶段。在最终的Capstone项目中，您将运用所学技能，通过构建一个基于真实数据的数据产品来展示您的学习成果。完成课程后，学生将获得一个专业档案袋，证明他们掌握了相关材料。 课程大纲包含以下几门主要课程： 1. **数据科学家的工具箱**（Data Scientist’s Toolbox） - 介绍数据科学家所需的主要工具和理念。 2. **R 语言编程**（R Programming） - 学习如何在R语言中进行编程和有效的数据分析。 3. **数据获取与清理**（Getting and Cleaning Data） - 探讨获取数据的基本方法以及数据清理的技巧。 4. **探索性数据分析**（Exploratory Data Analysis） - 介绍总结数据的基本探索技术。 5. **可重复研究**（Reproducible Research） - 聚焦于现代数据分析报告的可重复性概念和工具。 6. **统计推断**（Statistical Inference） - 学习统计推断的基本过程。 7. **回归模型**（Regression Models） - 探索线性模型的应用及其与预测变量之间的关系。 8. **实用机器学习**（Practical Machine Learning） - 讨论数据科学家和分析师常用的预测和机器学习任务。 9. **数据产品开发**（Developing Data Products） - 讲解统计分析的输出如何转化为数据产品。 10. **数据科学Capstone项目**（Data Science Capstone） - 学生将创建一个可用的公共数据产品，作为对整个学习过程的总结。 通过以上课程的学习，您将能有效掌握数据科学的观点和工具，为未来的数据分析和研究打下坚实的基础。
Course Link: https://www.coursera.org/learn/data-scientists-tools
Name:The Data Scientist’s Toolbox
Description:Offered by Johns Hopkins University. In this course you will get an introduction to the main tools and ideas in the data scientist's ... Enroll for free.
Course Link: https://www.coursera.org/learn/r-programming
Name:R Programming
Description:Offered by Johns Hopkins University. In this course you will learn how to program in R and how to use R for effective data analysis. You ... Enroll for free.
Course Link: https://www.coursera.org/learn/data-cleaning
Name:Getting and Cleaning Data
Description:Offered by Johns Hopkins University. Before you can work with data you have to get some. This course will cover the basic ways that data can ... Enroll for free.
Course Link: https://www.coursera.org/learn/exploratory-data-analysis
Name:Exploratory Data Analysis
Description:Offered by Johns Hopkins University. This course covers the essential exploratory techniques for summarizing data. These techniques are ... Enroll for free.
Course Link: https://www.coursera.org/learn/reproducible-research
Name:Reproducible Research
Description:Offered by Johns Hopkins University. This course focuses on the concepts and tools behind reporting modern data analyses in a reproducible ... Enroll for free.
Course Link: https://www.coursera.org/learn/statistical-inference
Name:Statistical Inference
Description:Offered by Johns Hopkins University. Statistical inference is the process of drawing conclusions about populations or scientific truths from ... Enroll for free.
Course Link: https://www.coursera.org/learn/regression-models
Name:Regression Models
Description:Offered by Johns Hopkins University. Linear models, as their name implies, relates an outcome to a set of predictors of interest using ... Enroll for free.
Course Link: https://www.coursera.org/learn/practical-machine-learning
Name:Practical Machine Learning
Description:Offered by Johns Hopkins University. One of the most common tasks performed by data scientists and data analysts are prediction and machine ... Enroll for free.
Course Link: https://www.coursera.org/learn/data-products
Name:Developing Data Products
Description:Offered by Johns Hopkins University. A data product is the production output from a statistical analysis. Data products automate complex ... Enroll for free.
Course Link: https://www.coursera.org/learn/data-science-project
Name:Data Science Capstone
Description:Offered by Johns Hopkins University. The capstone project class will allow students to create a usable/public data product that can be used ... Enroll for free.
Ask the right questions, manipulate data sets, and create visualizations to communicate results. This Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.
数据科学专业化：提出正确的问题，处理数据集并创建可视化效果以传达结果。 本专业涵盖了整个数据科学管道中所需的概念和工具，从提出正确的问题到做出推理和发布结果。在最终的Capstone项目中，您将运用通过使用实际数据构建数据产品而学到的技能。完成后，学生将有一个档案袋，以证明他们对材料的掌握。
