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.
本课程是 Practical Data Science with MATLAB 专项课程 专项课程的一部分
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第 2 门课程（共 4 门）
中级
完成时间大约为20 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）
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体验 Coursera 企业版您将获得的技能
- Feature Engineering
- Matlab
- Data Cleansing
可灵活调整截止日期
根据您的日程表重置截止日期。
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）
中级
完成时间大约为20 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）
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体验 Coursera 企业版
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授课大纲 - 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）, 5 个阅读材料, 2 个测验
审阅
- 5 stars76.12%
- 4 stars19.03%
- 3 stars3.22%
- 1 star1.61%
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 AL 提供Aug 28, 2020
Great overview. Very useful exercises and tests. However, Week 5 was a little overwhelming since it is a little bit of everything (signals, images, texts).
由 SA 提供Aug 11, 2021
Good course, teaches you how to process data to extract features in preparation for application of supervised learning algorithms.
由 SK 提供Jul 23, 2020
Overall a good course ! Some parts need more explanation and functions need to be explained to a greater depth.
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？
有助学金吗？
Will I have access to MATLAB?
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