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.
课程信息
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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）
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中级
完成时间大约为17 小时
英语（English）
字幕：英语（English）
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17 小时
英语（English）
字幕：英语（English）
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
10 个视频
Overview of Data Processing and Feature Engineering3分钟
Instructor Introduction2分钟
Introduction to Module 11分钟
Introduction to the Flights Dataset7分钟
Exploring the Flights Dataset5分钟
Describing Distributions6分钟
Examples of Distributions5分钟
Visualizing Multi-Dimensional Data8分钟
Summary of Module 1: Surveying Your Data2分钟
4 个阅读材料
Download and Install MATLAB15分钟
Data and Code Files15分钟
Variables in the Flights Dataset15分钟
Practice Visualizing Multidimensional Data45分钟
2 个练习
Understanding the Flights Dataset20分钟
Module 1 Quiz30分钟
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
8 个视频
Working with Strings7分钟
Working with Dates and Times4分钟
Importing Multiple Data Files4分钟
Combining Data5分钟
Joining Tables5分钟
Sorting Your Data3分钟
Summary of Module 2: Organizing Your Data2分钟
2 个阅读材料
Practice Working with Strings15分钟
Practice Using Dates and Times30分钟
2 个练习
Practice Working with Strings15分钟
Quiz 2: Organizing Your Data1小时
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
9 个视频
Identifying Missing Data6分钟
Handling Missing Data5分钟
Identifying Outliers5分钟
Investigating Outliers6分钟
Normalizing Data4分钟
Examples of Normalizing Data4分钟
Smoothing Data7分钟
Summary of Module 3: Cleaning Your Data1分钟
2 个阅读材料
Practice Working with Outliers1小时
Cleaning Data: Analyzing Flight Volume30分钟
2 个练习
Practice Quiz: Putting it all Together15分钟
Quiz 3: Cleaning Your Data40分钟
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
7 个视频
Introduction to Feature Engineering5分钟
Introduction to Unsupervised Learning3分钟
Introduction to Clustering Algorithms6分钟
Evaluating Features8分钟
Introduction to Dimensionality Reduction and PCA5分钟
Summary of Module 4: Finding Features that Matter1分钟
4 个阅读材料
Examples of Feature Engineering30分钟
Example of K-means Clustering15分钟
Applying Filter Methods30分钟
Applying PCA45分钟
1 个练习
Quiz 4: Finding Features that Matter45分钟
审阅
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 DM 提供Apr 7, 2020
Big step up from the previous course but good introduction into data science, what it is and what MATLAB can do to help you get the most out of your analysis. Very good !
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？
讲座和作业的访问权限取决于您的注册类型。如果您以旁听模式参加课程，则可以免费查看大多数课程资料。要访问评分作业并获得证书，您需要在旁听期间或之后购买证书体验。如果看不到旁听选项：
- 课程可能不提供旁听选项。您可以尝试免费试用，也可以申请助学金。
- 课程可能会改为提供'完整课程，没有证书'。通过此选项，您可以查看所有课程材料、提交所要求的作业，以及获得最终成绩。这也意味着您将无法购买证书体验。
我订阅此专项课程后会得到什么？
您注册课程后，将有权访问专项课程中的所有课程，并且会在完成课程后获得证书。您的电子课程证书将添加到您的成就页中，您可以通过该页打印您的课程证书或将其添加到您的领英档案中。如果您只想阅读和查看课程内容，可以免费旁听课程。
Is financial aid available?
是的，Coursera 可以为无法承担费用的学生提供助学金。通过点击左侧“注册”按钮下的“助学金”链接可以申请助学金。您可以根据屏幕提示完成申请，申请获批后会收到通知。您需要针对专项课程中的每一门课程完成上述步骤，包括毕业项目。了解更多。
Will I have access to MATLAB?
Yes. A free license is available to learners enrolled in the course. You must have a computer capable of running MATLAB. You can view the system requirements here.
完成课程后，我会获得大学学分吗？
此课程不提供大学学分，但部分大学可能会选择接受课程证书作为学分。查看您的合作院校，了解详情。Coursera 上的在线学位和 Mastertrack™ 证书提供获得大学学分的机会。
还有其他问题吗？请访问 学生帮助中心。
