课程信息

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100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

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中级

完成时间大约为26 小时

建议:12 hours/week...

英语(English)

字幕:英语(English)

您将获得的技能

Feature EngineeringMatlabData Cleansing

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

中级

完成时间大约为26 小时

建议:12 hours/week...

英语(English)

字幕:英语(English)

提供方

MathWorks 徽标

MathWorks

教学大纲 - 您将从这门课程中学到什么

1

1

完成时间为 3 小时

Surveying Your Data

完成时间为 3 小时
10 个视频 (总计 46 分钟), 4 个阅读材料, 2 个测验
10 个视频
Overview of Data Processing and Feature Engineering3分钟
Instructor Introduction2分钟
Introduction to Module 11分钟
Introduction to the Flights Dataset7分钟
Exploring the Flights Dataset5分钟
Describing Distributions6分钟
Examples of Distributions5分钟
Visualizing Multi-Dimensional Data8分钟
Summary of Module 1: Surveying Your Data2分钟
4 个阅读材料
Download and Install MATLAB15分钟
Data and Code Files15分钟
Variables in the Flights Dataset15分钟
Practice Visualizing Multidimensional Data45分钟
2 个练习
Understanding the Flights Dataset20分钟
Module 1 Quiz30分钟
2

2

完成时间为 3 小时

Organizing Your Data

完成时间为 3 小时
8 个视频 (总计 34 分钟), 2 个阅读材料, 3 个测验
8 个视频
Working with Strings7分钟
Working with Dates and Times4分钟
Importing Multiple Data Files4分钟
Combining Data5分钟
Joining Tables5分钟
Sorting Your Data3分钟
Summary of Module 2: Organizing Your Data2分钟
2 个阅读材料
Practice Working with Strings15分钟
Practice Using Dates and Times30分钟
2 个练习
Practice Working with Strings15分钟
Quiz 2: Organizing Your Data1小时
3

3

完成时间为 3 小时

Cleaning Your Data

完成时间为 3 小时
9 个视频 (总计 44 分钟), 2 个阅读材料, 3 个测验
9 个视频
Identifying Missing Data6分钟
Handling Missing Data5分钟
Identifying Outliers5分钟
Investigating Outliers6分钟
Normalizing Data4分钟
Examples of Normalizing Data4分钟
Smoothing Data7分钟
Summary of Module 3: Cleaning Your Data1分钟
2 个阅读材料
Practice Working with Outliers1小时
Cleaning Data: Analyzing Flight Volume30分钟
2 个练习
Practice Quiz: Putting it all Together15分钟
Quiz 3: Cleaning Your Data40分钟
4

4

完成时间为 4 小时

Finding Features that Matter

完成时间为 4 小时
7 个视频 (总计 35 分钟), 4 个阅读材料, 2 个测验
7 个视频
Introduction to Feature Engineering5分钟
Introduction to Unsupervised Learning3分钟
Introduction to Clustering Algorithms6分钟
Evaluating Features8分钟
Introduction to Dimensionality Reduction and PCA5分钟
Summary of Module 4: Finding Features that Matter1分钟
4 个阅读材料
Examples of Feature Engineering30分钟
Example of K-means Clustering15分钟
Applying Filter Methods30分钟
Applying PCA45分钟
1 个练习
Quiz 4: Finding Features that Matter45分钟

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关于 Practical Data Science with MATLAB 专项课程

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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