Algorithms (Udacity) 1 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/cs215

简介: Ever played the Kevin Bacon game? This class will show you how it works by giving you an introduction to the design and analysis of algorithms, enabling you to discover how individuals are connected.

Artificial Intelligence for Robotics (Udacity) 2 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/cs373

简介: This course will cover probabilistic inference, planning and search, localization, tracking and control, all with a focus on robotics.

College Algebra (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/ma008

简介: In this course, you will learn...

To translate word problems into mathematical expressions or equations
To manipulate algebraic expressions and solve equations
To graph different types of functions and to understand the relationship between a function’s graph and its equation
To be able to model growth and decay

Design of Computer Programs (Udacity) 4 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/cs212

简介: Learn new concepts, patterns, and methods that will expand your programming abilities, helping move you from a novice to an expert programmer.

Differential Equations in Action (Udacity) 1 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/cs222

简介: In this course you will examine real world problems -- rescue the Apollo 13 astronauts, stop the spread of epidemics, and fight forest fires -- involving differential equations and figure out how to solve them using numerical methods.

Elementary Statistics (Udacity) 2 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/st095

简介: We live in a time of unprecedented access to information...data. Whether researching the best school, job, or relationship, the Internet has thrown open the doors to vast pools of data. Statistics are simply objective and systematic methods for describing and interpreting information so that you may make the most informed decisions about life.

Exploratory Data Analysis (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/ud651

简介: Exploratory Data Analysis (EDA) is an approach to data analysis for summarizing and visualizing the important characteristics of a data set. Promoted by John Tukey, EDA focuses on exploring data to understand the data’s underlying structure and variables, to develop intuition about the data set, consider how that date set came into existence, and decide how it can be investigated with more formal statistical methods.

Introduction to Artificial Intelligence (Udacity) 2 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/cs271

简介: The objective of this class is to teach you modern AI. You will learn about the basic techniques and tricks of the trade. We also aspire to excite you about the field of AI.

Introduction to Computer Science (Udacity) 6 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/cs101

简介: In this course you will learn key concepts in computer science and learn how to write your own computer programs in the context of building a web crawler.

Introduction to Data Science (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/ud359

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.