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.
本課程是 Practical Data Science with MATLAB 專項課程 專項課程的一部分
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第 2 門課程（共 4 門）
中級
完成時間大約為20 小時
英語（English）
字幕：阿拉伯語（Arabic）, 法語（French）, （歐洲人講的）葡萄牙語, 意大利語, 越南語, 德語（German）, 俄語（Russian）, 英語（English）, 西班牙語（Spanish）
您將獲得的技能
- Feature Engineering
- Matlab
- Data Cleansing
可靈活調整截止日期
根據您的日程表重置截止日期。
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）
中級
完成時間大約為20 小時
英語（English）
字幕：阿拉伯語（Arabic）, 法語（French）, （歐洲人講的）葡萄牙語, 意大利語, 越南語, 德語（German）, 俄語（Russian）, 英語（English）, 西班牙語（Spanish）
提供方
MathWorks
Accelerating the pace of discovery, innovation, development, and learning in engineering and science.
授課大綱 - 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
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
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
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）, 5 個閱讀材料, 2 個測驗
審閱
- 5 stars76.29%
- 4 stars19.15%
- 3 stars2.92%
- 1 star1.62%
來自DATA PROCESSING AND FEATURE ENGINEERING WITH MATLAB的熱門評論
由 VA 提供2020年3月9日
The course is good and very well structured. It helps you understand the steps involved in feature engineering and provides proper ways to implement them in MATLAB.
由 SA 提供2021年8月11日
Good course, teaches you how to process data to extract features in preparation for application of supervised learning algorithms.
由 LF 提供2020年10月3日
I am impressed with the instructors lectures and I am very satisfied with what I have been able to accomplish with my programming and machine learning skills
由 AT 提供2020年7月9日
The course was easy to follow and the sections in the week 5 module showed some real life applications of the methods learnt throughout the course.
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？
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?
還有其他問題嗎？請訪問 學生幫助中心。
