In this course, you will learn to think like a data scientist and ask questions of your data. You will use interactive features in MATLAB to extract subsets of data and to compute statistics on groups of related data. You will learn to use MATLAB to automatically generate code so you can learn syntax as you explore. You will also use interactive documents, called live scripts, to capture the steps of your analysis, communicate the results, and provide interactive controls allowing others to experiment by selecting groups of data.
제공자:
이 강좌에 대하여
최근 조회 220,893회
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 특화 과정의 4개 강좌 중 1번째 강좌:
유동적 마감일
일정에 따라 마감일을 재설정합니다.
초급 단계
완료하는 데 약 19시간 필요
영어
자막: 영어
귀하가 습득할 기술
Data AnalysisData Visualization (DataViz)Matlab
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 특화 과정의 4개 강좌 중 1번째 강좌:
유동적 마감일
일정에 따라 마감일을 재설정합니다.
초급 단계
완료하는 데 약 19시간 필요
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 2시간 필요
Introduction to the Data Science Workflow
In this module you’ll learn about the key steps in a data science workflow and begin exploring a data set using a script provided for you. As you work with the file, take note of the different elements in the script. As you progress through the course, you’ll create a similar script yourself.
완료하는 데 2시간 필요
11개 동영상 (총 39분), 4 개의 읽기 자료, 2 개의 테스트
11개의 동영상
Overview of Exploratory Data Analysis with MATLAB2m
Instructor Introduction2m
Why Do We Need Data Science?4m
MATLAB as a Data Science Tool5m
How to ask Good Questions of Your Data2m
Interactive Data Exploration3m
Getting Started with MATLAB4m
Overview of the Data Science Workflow3m
The Workflow in Practice4m
Summary of Module 1: The Data Science Workflow1m
4개의 읽기 자료
Use a Live Script: Explore 2013 Tornado Events30m
Download and Install MATLAB15m
Data and Code Files10m
Introduction to Storm Events Data15m
2개 연습문제
Tell us why you're here2m
Quiz 1: Introduction to Data Science30m
완료하는 데 3시간 필요
Importing Data
In this module you’ll import data into MATLAB, customize the import options, and generate code to automate the process. You’ll also work with different types of data, such as numeric, dates, and text.
완료하는 데 3시간 필요
8개 동영상 (총 20분), 1 개의 읽기 자료, 2 개의 테스트
8개의 동영상
How Data is stored2m
How MATLAB Represents Data3m
How to Use the Import Tool3m
MATLAB Data Types4m
Why Automate the Import Process?1m
Generating and Reusing Code2m
Summary of Module 2: Importing Data1m
1개의 읽기 자료
Overview of MATLAB Data Types1시간 30분
2개 연습문제
Practice Quiz30m
Quiz 2: Importing Data45m
완료하는 데 1시간 필요
Visualizing and Filtering Data
In this module you’ll create visualizations and learn how to customize figures. You’ll also filter your data to select only what is needed for your analysis. You’ll create new tables and save them to use in the future or share with others outside of MATLAB.
완료하는 데 1시간 필요
5개 동영상 (총 15분)
5개의 동영상
Plotting Data Contained in Tables4m
Selecting Data from Tables3m
Accessing and Creating Table Variables4m
Summary of Module 3: Visualizing and Filtering Data1m
3개 연습문제
Practice Selecting Data6m
Practice Questions5m
Quiz 3: Visualizing and Accessing Data in Tables45m
완료하는 데 7시간 필요
Performing Calculations
In this module you’ll write small pieces of code to extend your analysis. You’ll calculate summary statistics on groups of data and determine if variables are correlated. You’ll extend your ability to filter data to defining conditions across multiple variables. You’ll also modify categorical data to remove, combine, or create new categories to use for defining groups.
완료하는 데 7시간 필요
11개 동영상 (총 41분), 4 개의 읽기 자료, 11 개의 테스트
11개의 동영상
Basic Mathematical Operations3m
Using Vectors4m
Using Functions2m
Calculating Summary Statistics2m
Correlations Between Variables3m
Accessing Subsets of Data5m
Introduction to Categorical Data5m
Performing Calculations by Category3m
Visualizing Results5m
Summary of Module 4: Performing Calculations1m
4개의 읽기 자료
Performing Calculations30m
Performing Calculations with Vectors45m
Relational and Logical Operators30m
Calculations by Group45m
1개 연습문제
Quiz 4: Exploratory Data Analysis1시간 10분
검토
EXPLORATORY DATA ANALYSIS WITH MATLAB의 최상위 리뷰
PM 제공2020년 4월 29일
It was a great feeling of satisfaction after completing the final project. Exploratory and basics of Data Science with a blend of MATLAB were presented in a very interactive manner.
CB 제공2020년 4월 23일
Clear and to the point. Polished presentation that packs alot of info into each lesson. I learned a lot and am looking forward to continuing the series.
SM 제공2020년 5월 6일
excellent course material and interfaces. assignments and cool and real learning happen. the software is provided with access until the end of course.
FV 제공2019년 12월 9일
A great course. I'm very satisfied. The course allow me use Matlab in ways that will be very helpful to my work. I'm waiting for course 2
Practical Data Science with MATLAB 특화 과정 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
When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
What is the refund policy?
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Is financial aid available?
Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.
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.
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