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.
이 강좌는 Practical Data Science with MATLAB 전문 분야의 일부입니다.
Data Processing and Feature Engineering with MATLAB
제공자:
About this Course
최근 조회 27,605회
귀하가 습득할 기술
Feature EngineeringMatlabData Cleansing
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 전문 분야의 4개 강좌 중 2번째 강좌:
유동적 마감일
일정에 따라 마감일을 재설정합니다.
중급 단계
완료하는 데 약 26시간 필요
권장: 12 hours/week
영어
자막: 영어
제공자:
MathWorks
Accelerating the pace of discovery, innovation, development, and learning in engineering and science.
강의 계획 - 이 강좌에서 배울 내용
완료하는 데 3시간 필요
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.
완료하는 데 3시간 필요
10개 동영상 (총 46분), 4 readings, 2 quizzes
10개의 동영상
Overview of Data Processing and Feature Engineering3m
Instructor Introduction2m
Introduction to Module 11m
Introduction to the Flights Dataset7m
Exploring the Flights Dataset5m
Describing Distributions6m
Examples of Distributions5m
Visualizing Multi-Dimensional Data8m
Summary of Module 1: Surveying Your Data2m
4개의 읽기 자료
Download and Install MATLAB15m
Data and Code Files15m
Variables in the Flights Dataset15m
Practice Visualizing Multidimensional Data45m
2개 연습문제
Understanding the Flights Dataset20m
Module 1 Quiz30m
완료하는 데 3시간 필요
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.
완료하는 데 3시간 필요
8개 동영상 (총 34분), 2 readings, 3 quizzes
8개의 동영상
Working with Strings7m
Working with Dates and Times4m
Importing Multiple Data Files4m
Combining Data5m
Joining Tables5m
Sorting Your Data3m
Summary of Module 2: Organizing Your Data2m
2개의 읽기 자료
Practice Working with Strings15m
Practice Using Dates and Times30m
2개 연습문제
Practice Working with Strings15m
Quiz 2: Organizing Your Data1h
완료하는 데 3시간 필요
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.
완료하는 데 3시간 필요
9개 동영상 (총 44분), 2 readings, 3 quizzes
9개의 동영상
Identifying Missing Data6m
Handling Missing Data5m
Identifying Outliers5m
Investigating Outliers6m
Normalizing Data4m
Examples of Normalizing Data4m
Smoothing Data7m
Summary of Module 3: Cleaning Your Data1m
2개의 읽기 자료
Practice Working with Outliers1h
Cleaning Data: Analyzing Flight Volume30m
2개 연습문제
Practice Quiz: Putting it all Together15m
Quiz 3: Cleaning Your Data40m
완료하는 데 4시간 필요
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.
완료하는 데 4시간 필요
7개 동영상 (총 35분), 4 readings, 2 quizzes
7개의 동영상
Introduction to Feature Engineering5m
Introduction to Unsupervised Learning3m
Introduction to Clustering Algorithms6m
Evaluating Features8m
Introduction to Dimensionality Reduction and PCA5m
Summary of Module 4: Finding Features that Matter1m
4개의 읽기 자료
Examples of Feature Engineering30m
Example of K-means Clustering15m
Applying Filter Methods30m
Applying PCA45m
1개 연습문제
Quiz 4: Finding Features that Matter45m
검토
4.8
DATA PROCESSING AND FEATURE ENGINEERING WITH MATLAB의 최상위 리뷰
SK 제공Mar 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!
SE 제공Feb 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.
D 제공Feb 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
VA 제공Mar 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.
KS 제공Feb 18, 2020
Fun (and easy) with the nice addition of playing with the Matlab functions yourself thanks to the temporary toolbox licenses.
OR 제공Mar 5, 2020
I wish if I can give you more than five stars, Thank you for this amazing course.
IA 제공Mar 16, 2020
The overall content was good. Quizzes could be more independent and technical.
FM 제공Feb 16, 2020
It provides a lot of insight about different tasks Matlab can do for you
IM 제공Mar 4, 2020
Top course, amazingly explained and with high-valuable examples
Practical Data Science with MATLAB 전문 분야 정보
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.
자주 묻는 질문
강의 및 과제를 언제 이용할 수 있게 되나요?
강좌에 등록하면 바로 모든 비디오, 테스트 및 프로그래밍 과제(해당하는 경우)에 접근할 수 있습니다. 상호 첨삭 과제는 이 세션이 시작된 경우에만 제출하고 검토할 수 있습니다. 강좌를 구매하지 않고 살펴보기만 하면 특정 과제에 접근하지 못할 수 있습니다.
이 전문 분야를 구독하면 무엇을 이용할 수 있나요?
강좌를 등록하면 전문 분야의 모든 강좌에 접근할 수 있고 강좌를 완료하면 수료증을 취득할 수 있습니다. 전자 수료증이 성취도 페이지에 추가되며 해당 페이지에서 수료증을 인쇄하거나 LinkedIn 프로필에 수료증을 추가할 수 있습니다. 강좌 내용만 읽고 살펴보려면 해당 강좌를 무료로 청강할 수 있습니다.
환불 규정은 어떻게 되나요?
재정 지원을 받을 수 있나요?
Will I have access to MATLAB?
궁금한 점이 더 있으신가요? 학습자 도움말 센터를 방문해 보세요.