Statistical Thermodynamics: Molecules to Machines (CourseraArchive) 0 个评论 关注

开始时间: 04/22/2022 持续时间: Unknown

主页: https://www.coursera.org/course/stathermo

简介: Thermodynamics explains phenomena we observe in the natural world and is the cornerstone of all of engineering. You're going to learn about thermodynamics from a molecular picture where we'll combine theory with a wide range of practical applications and examples. But be warned: this is a fast-paced, challenging course. Everyone is welcome, but hold on to your hat!

Python (Coursera专项课程) 5 个评论 关注

开始时间: 04/22/2022 持续时间: free

主页: http://www.codecademy.com/zh/tracks/python

简介: Learn the fundamentals of Python and dynamic programming.

PHP (Coursera专项课程) 1 个评论 关注

开始时间: 04/22/2022 持续时间: free

主页: http://www.codecademy.com/zh/tracks/php

简介: Write server-side scripts with PHP, the world's most popular scripting language.

Introduction to Statistics (Udacity) 3 个评论 关注

开始时间: 04/22/2022 持续时间: 自主

主页: https://www.udacity.com/course/st101

简介: Statistics is about extracting meaning from data. In this class, we will introduce techniques for visualizing relationships in data and systematic techniques for understanding the relationships using mathematics.

Introduction to Physics (Udacity) 0 个评论 关注

开始时间: 04/22/2022 持续时间: 自主

主页: https://www.udacity.com/course/ph100

简介: Study physics abroad in Europe -- virtually! Learn the basics of physics on location in Italy, the Netherlands and the UK, by answering some of the discipline's major questions from over the last 2000 years.

分布式系统导论 (CourseraArchive) 1 个评论 关注

开始时间: 04/22/2022 持续时间: 15 weeks

主页: http://www.sheetoo.com/app/course/overview?course_id=203

简介: 本课程着重讲述分布式系统的原理与实现，包括分布式环境下编程的基本概念与编程方法，分布式锁，多机备份，一致性问题，可扩展性、安全等相关机制。并且分析了这些原理是如何应用在当前流行的分布式系统中的，如Google File System，MapReduce，Peer to Peer系统，Google BigTable，Amazon Dynamo等。

Data Wrangling with MongoDB (Udacity) 0 个评论 关注

开始时间: 04/22/2022 持续时间: 自主

主页: https://www.udacity.com/course/ud032

简介: This is one of the first courses we offer for students interested in the emerging field of data science.

In this course, we will explore how to wrangle data from diverse sources and shape it to enable data-driven applications. Some data scientists spend the bulk of their time doing this!

Students will learn how to collect, clean, and extract needed data and store it in MongoDB. We will also cover schema design, learn how to process data within MongoDB, and utilize Hadoop along with MongoDB to perform MapReduce operations.

This is a great course for those interested in entry-level data analyst positions as well as current business/data analysts looking to add big data to their repertoire, and managers working with data professionals or looking to leverage big data.