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.
課程信息
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第 2 門課程（共 4 門）
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中級
完成時間大約為17 小時
英語（English）
字幕：英語（English）
您將獲得的技能
Feature EngineeringMatlabData Cleansing
可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
第 2 門課程（共 4 門）
可靈活調整截止日期
根據您的日程表重置截止日期。
中級
完成時間大約為17 小時
英語（English）
字幕：英語（English）
提供方
MathWorks
Accelerating the pace of discovery, innovation, development, and learning in engineering and science.
教學大綱 - 您將從這門課程中學到什麼
完成時間為 3 小時
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.
完成時間為 3 小時
10 個視頻 （總計 46 分鐘）, 4 個閱讀材料, 2 個測驗
10 個視頻
Overview of Data Processing and Feature Engineering3分鐘
Instructor Introduction2分鐘
Introduction to Module 11分鐘
Introduction to the Flights Dataset7分鐘
Exploring the Flights Dataset5分鐘
Describing Distributions6分鐘
Examples of Distributions5分鐘
Visualizing Multi-Dimensional Data8分鐘
Summary of Module 1: Surveying Your Data2分鐘
4 個閱讀材料
Download and Install MATLAB15分鐘
Data and Code Files15分鐘
Variables in the Flights Dataset15分鐘
Practice Visualizing Multidimensional Data45分鐘
2 個練習
Understanding the Flights Dataset20分鐘
Module 1 Quiz30分鐘
完成時間為 3 小時
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.
完成時間為 3 小時
8 個視頻 （總計 34 分鐘）, 2 個閱讀材料, 3 個測驗
8 個視頻
Working with Strings7分鐘
Working with Dates and Times4分鐘
Importing Multiple Data Files4分鐘
Combining Data5分鐘
Joining Tables5分鐘
Sorting Your Data3分鐘
Summary of Module 2: Organizing Your Data2分鐘
2 個閱讀材料
Practice Working with Strings15分鐘
Practice Using Dates and Times30分鐘
2 個練習
Practice Working with Strings15分鐘
Quiz 2: Organizing Your Data1小時
完成時間為 3 小時
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.
完成時間為 3 小時
9 個視頻 （總計 44 分鐘）, 2 個閱讀材料, 3 個測驗
9 個視頻
Identifying Missing Data6分鐘
Handling Missing Data5分鐘
Identifying Outliers5分鐘
Investigating Outliers6分鐘
Normalizing Data4分鐘
Examples of Normalizing Data4分鐘
Smoothing Data7分鐘
Summary of Module 3: Cleaning Your Data1分鐘
2 個閱讀材料
Practice Working with Outliers1小時
Cleaning Data: Analyzing Flight Volume30分鐘
2 個練習
Practice Quiz: Putting it all Together15分鐘
Quiz 3: Cleaning Your Data40分鐘
完成時間為 4 小時
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.
完成時間為 4 小時
7 個視頻 （總計 35 分鐘）, 4 個閱讀材料, 2 個測驗
7 個視頻
Introduction to Feature Engineering5分鐘
Introduction to Unsupervised Learning3分鐘
Introduction to Clustering Algorithms6分鐘
Evaluating Features8分鐘
Introduction to Dimensionality Reduction and PCA5分鐘
Summary of Module 4: Finding Features that Matter1分鐘
4 個閱讀材料
Examples of Feature Engineering30分鐘
Example of K-means Clustering15分鐘
Applying Filter Methods30分鐘
Applying PCA45分鐘
1 個練習
Quiz 4: Finding Features that Matter45分鐘
審閱
來自DATA PROCESSING AND FEATURE ENGINEERING WITH MATLAB的熱門評論
由 SK 提供2020年3月14日
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2020年2月25日
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2020年3月23日
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2020年4月7日
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 !
關於 Practical Data Science with MATLAB 專項課程
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?
常見問題
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。
還有其他問題嗎？請訪問 學生幫助中心。
