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
Data Processing and Feature Engineering with MATLAB
提供方
课程信息
28,088 次近期查看
您将获得的技能
Feature EngineeringMatlabData Cleansing
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26 小时
建议：12 hours/week
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
4.8
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 D 提供Feb 7, 2020
Overall I will rate it 9/10 which is really good. Only downside for me is that it was really fast, not enough interactive assignments and sometimes difficult to follow
由 VA 提供Mar 9, 2020
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 KS 提供Feb 18, 2020
Fun (and easy) with the nice addition of playing with the Matlab functions yourself thanks to the temporary toolbox licenses.
由 OR 提供Mar 5, 2020
I wish if I can give you more than five stars, Thank you for this amazing course.
由 IA 提供Mar 16, 2020
The overall content was good. Quizzes could be more independent and technical.
由 FM 提供Feb 16, 2020
It provides a lot of insight about different tasks Matlab can do for you
由 IM 提供Mar 4, 2020
Top course, amazingly explained and with high-valuable examples
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?
Completing this specialization will give you the skills and confidence you need to achieve practical results in Data Science quickly. Being able to visualize, analyze, and model data are some of the most in-demand career skills from fields ranging from healthcare, to the auto industry, to tech startups.
This specialization assumes you have domain expertise in a technical field and some exposure to computational tools, such as spreadsheets. To be successful in completing the courses, you should have some background in basic statistics (histograms, averages, standard deviation, curve fitting, interpolation).
Throughout this specialization, you will be using MATLAB. MATLAB is the go-to choice for millions of people working in engineering and science, and provides the capabilities you need to accomplish your data science tasks. You will be provided with free access to MATLAB for the duration of the specialization to complete your work.
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