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.
課程信息
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第 2 門課程（共 4 門）
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中級
完成時間大約為17 小時
英語（English）
字幕：英語（English）
您將獲得的技能
Feature EngineeringMatlabData Cleansing
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）
可靈活調整截止日期
根據您的日程表重置截止日期。
中級
完成時間大約為17 小時
英語（English）
字幕：英語（English）
提供方
MathWorks
Accelerating the pace of discovery, innovation, development, and learning in engineering and science.
教學大綱 - 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
10 個視頻
Overview of Data Processing and Feature Engineering3分鐘
Instructor Introduction2分鐘
Introduction to Module 11分鐘
Introduction to the Flights Dataset7分鐘
Exploring the Flights Dataset5分鐘
Describing Distributions6分鐘
Examples of Distributions5分鐘
Visualizing Multi-Dimensional Data8分鐘
Summary of Module 1: Surveying Your Data2分鐘
4 個閱讀材料
Download and Install MATLAB15分鐘
Data and Code Files15分鐘
Variables in the Flights Dataset15分鐘
Practice Visualizing Multidimensional Data45分鐘
2 個練習
Understanding the Flights Dataset20分鐘
Module 1 Quiz30分鐘
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
8 個視頻
Working with Strings7分鐘
Working with Dates and Times4分鐘
Importing Multiple Data Files4分鐘
Combining Data5分鐘
Joining Tables5分鐘
Sorting Your Data3分鐘
Summary of Module 2: Organizing Your Data2分鐘
2 個閱讀材料
Practice Working with Strings15分鐘
Practice Using Dates and Times30分鐘
2 個練習
Practice Working with Strings15分鐘
Quiz 2: Organizing Your Data1小時
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
9 個視頻
Identifying Missing Data6分鐘
Handling Missing Data5分鐘
Identifying Outliers5分鐘
Investigating Outliers6分鐘
Normalizing Data4分鐘
Examples of Normalizing Data4分鐘
Smoothing Data7分鐘
Summary of Module 3: Cleaning Your Data1分鐘
2 個閱讀材料
Practice Working with Outliers1小時
Cleaning Data: Analyzing Flight Volume30分鐘
2 個練習
Practice Quiz: Putting it all Together15分鐘
Quiz 3: Cleaning Your Data40分鐘
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）, 4 個閱讀材料, 2 個測驗
7 個視頻
Introduction to Feature Engineering5分鐘
Introduction to Unsupervised Learning3分鐘
Introduction to Clustering Algorithms6分鐘
Evaluating Features8分鐘
Introduction to Dimensionality Reduction and PCA5分鐘
Summary of Module 4: Finding Features that Matter1分鐘
4 個閱讀材料
Examples of Feature Engineering30分鐘
Example of K-means Clustering15分鐘
Applying Filter Methods30分鐘
Applying PCA45分鐘
1 個練習
Quiz 4: Finding Features that Matter45分鐘
審閱
來自DATA PROCESSING AND FEATURE ENGINEERING WITH MATLAB的熱門評論
由 SK 提供2020年3月14日
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2020年2月25日
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 LS 提供2020年3月23日
Great lectures! Great visuals, sounds, explanations are crystal clear, concise and yet in depth. It's a well paced course with very attentive instructors. Really enjoyed taking it!
由 DM 提供2020年4月7日
Big step up from the previous course but good introduction into data science, what it is and what MATLAB can do to help you get the most out of your analysis. Very good !
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?
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.
常見問題
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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