In this course, you will build on the skills learned in Exploratory Data Analysis with MATLAB to lay the foundation required for predictive modeling. This intermediate-level course is useful to anyone who needs to combine data from multiple sources or times and has an interest in modeling.
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课程信息
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100% 在线
立即开始，按照自己的计划学习。
第 2 门课程（共 4 门）
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中级
完成时间大约为18 小时
英语（English）
字幕：阿拉伯语（Arabic）, 法语（French）, （欧洲人讲的）葡萄牙语, 意大利语, 越南语, 德语（German）, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）
您将获得的技能
Feature EngineeringMatlabData Cleansing
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
第 2 门课程（共 4 门）
可灵活调整截止日期
根据您的日程表重置截止日期。
中级
完成时间大约为18 小时
英语（English）
字幕：阿拉伯语（Arabic）, 法语（French）, （欧洲人讲的）葡萄牙语, 意大利语, 越南语, 德语（German）, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）
提供方
MathWorks
Accelerating the pace of discovery, innovation, development, and learning in engineering and science.
教学大纲 - 您将从这门课程中学到什么
完成时间为 3 小时
Surveying Your Data
In this module you'll apply the skills gained in Exploratory Data Analysis with MATLAB on a new dataset. You'll explore different types of distributions and calculate quantities like the skewness and interquartile range. You'll also learn about more types of plots for visualizing multi-dimensional data.
完成时间为 3 小时
10 个视频 （总计 46 分钟）, 4 个阅读材料, 2 个测验
完成时间为 3 小时
Organizing Your Data
In this module you'll learn to prepare data for analysis. Often data is not recorded as required. You'll learn to manipulate string variables to extract key information. You'll create a single datetime variable from date and time information spread across multiple columns in a table. You'll efficiently load and combine data from multiple files to create a final table for analysis.
完成时间为 3 小时
8 个视频 （总计 34 分钟）, 2 个阅读材料, 3 个测验
完成时间为 3 小时
Cleaning Your Data
In this module you'll clean messy data. Missing data, outliers, and variables with very different scales can obscure trends in the data. You'll find and address missing data and outliers in a data set. You'll compare variables with different scales by normalizing variables.
完成时间为 3 小时
9 个视频 （总计 44 分钟）, 2 个阅读材料, 3 个测验
完成时间为 4 小时
Finding Features that Matter
In this module you'll create new features to better understand your data. You'll evaluate features to determine if a feature is potentially useful for making predictions.
完成时间为 4 小时
7 个视频 （总计 35 分钟）, 4 个阅读材料, 2 个测验
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来自DATA PROCESSING AND FEATURE ENGINEERING WITH MATLAB的热门评论
由 SK 提供Mar 14, 2020
Highly recommended for people with patience, and deep interest in Data Processing and Feature Engineering. It is not easy. However, MATLAB instructional tools make this process so much simplified!
由 SE 提供Feb 25, 2020
The course content and delivery are top-notch. I like the practicals, quizzes and exams which help to deepen understanding. For me, they'll always be a treasure load of reference materials.
由 LS 提供Mar 23, 2020
Great lectures! Great visuals, sounds, explanations are crystal clear, concise and yet in depth. It's a well paced course with very attentive instructors. Really enjoyed taking it!
由 RR 提供Feb 20, 2021
The course on Data Processing and Feature Engineering with MATLAB charms me extremely . It covers all the area , like image, signal and text processing with feature engineering.
关于 Practical Data Science with MATLAB 专项课程
Do you find yourself in an industry or field that increasingly uses data to answer questions? Are you working with an overwhelming amount of data and need to make sense of it? Do you want to avoid becoming a full-time software developer or statistician to do meaningful tasks with your data?
常见问题
我什么时候能够访问课程视频和作业？
我订阅此专项课程后会得到什么？
Is financial aid available?
Will I have access to MATLAB?
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