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강의 계획 - 이 강좌에서 배울 내용

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1

1

완료하는 데 2시간 필요

Introduction to the Data Science Workflow

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
2

2

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Importing Data

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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
3

3

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Visualizing and Filtering Data

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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
4

4

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Performing Calculations

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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

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EXPLORATORY DATA ANALYSIS WITH MATLAB의 최상위 리뷰

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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....
Practical Data Science with MATLAB

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  • 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:

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    • 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.

  • 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.

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  • 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.

  • 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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