課程信息
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中級

完成時間大約為21 小時

建議:10 hours/week...

英語(English)

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您將獲得的技能

Feature EngineeringMatlabData Cleansing

100% 在線

立即開始,按照自己的計劃學習。

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21 小時

建議:10 hours/week...

英語(English)

字幕:英語(English)

教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 3 小時

Surveying Your Data

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
2
完成時間為 3 小時

Organizing Your Data

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
3
完成時間為 3 小時

Cleaning Your Data

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
4
完成時間為 4 小時

Finding Features that Matter

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

講師

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Brandon Armstrong

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Adam Filion

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Heather Gorr

Senior Product Manager
MathWorks
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Erin Byrne

Senior Course Developer
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Brian Buechel

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Isaac Bruss

Online Content Developer
MathWorks
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Maria Gavilan-Alfonso

Senior Online Content Developer
MathWorks
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Matt Rich

Online Content Developer
MathWorks
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Michael Reardon

Senior Online Content Developer
MathWorks
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Nikola Trica

Senior Online Content Developer
MathWorks

關於 MathWorks

Accelerating the pace of discovery, innovation, development, and learning in engineering and science....

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....
Practical Data Science with MATLAB

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