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.
Este curso faz parte do Programa de cursos integrados Practical Data Science with MATLAB
Data Processing and Feature Engineering with MATLAB
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Informações sobre o curso
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Habilidades que você terá
Feature EngineeringMatlabData Cleansing
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Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Nível intermediário
Aprox. 26 horas para completar
Sugerido: 12 hours/week
Inglês
Legendas: Inglês
Programa - O que você aprenderá com este curso
3 horas para concluir
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.
3 horas para concluir
10 vídeos (Total 46 mín.), 4 leituras, 2 testes
10 videos
Overview of Data Processing and Feature Engineering3min
Instructor Introduction2min
Introduction to Module 11min
Introduction to the Flights Dataset7min
Exploring the Flights Dataset5min
Describing Distributions6min
Examples of Distributions5min
Visualizing Multi-Dimensional Data8min
Summary of Module 1: Surveying Your Data2min
4 leituras
Download and Install MATLAB15min
Data and Code Files15min
Variables in the Flights Dataset15min
Practice Visualizing Multidimensional Data45min
2 exercícios práticos
Understanding the Flights Dataset20min
Module 1 Quiz30min
3 horas para concluir
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.
3 horas para concluir
8 vídeos (Total 34 mín.), 2 leituras, 3 testes
8 videos
Working with Strings7min
Working with Dates and Times4min
Importing Multiple Data Files4min
Combining Data5min
Joining Tables5min
Sorting Your Data3min
Summary of Module 2: Organizing Your Data2min
2 leituras
Practice Working with Strings15min
Practice Using Dates and Times30min
2 exercícios práticos
Practice Working with Strings15min
Quiz 2: Organizing Your Data1h
3 horas para concluir
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.
3 horas para concluir
9 vídeos (Total 44 mín.), 2 leituras, 3 testes
9 videos
Identifying Missing Data6min
Handling Missing Data5min
Identifying Outliers5min
Investigating Outliers6min
Normalizing Data4min
Examples of Normalizing Data4min
Smoothing Data7min
Summary of Module 3: Cleaning Your Data1min
2 leituras
Practice Working with Outliers1h
Cleaning Data: Analyzing Flight Volume30min
2 exercícios práticos
Practice Quiz: Putting it all Together15min
Quiz 3: Cleaning Your Data40min
4 horas para concluir
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.
4 horas para concluir
7 vídeos (Total 35 mín.), 4 leituras, 2 testes
7 videos
Introduction to Feature Engineering5min
Introduction to Unsupervised Learning3min
Introduction to Clustering Algorithms6min
Evaluating Features8min
Introduction to Dimensionality Reduction and PCA5min
Summary of Module 4: Finding Features that Matter1min
4 leituras
Examples of Feature Engineering30min
Example of K-means Clustering15min
Applying Filter Methods30min
Applying PCA45min
1 exercícios práticos
Quiz 4: Finding Features that Matter45min
Avaliações
Principais avaliações do DATA PROCESSING AND FEATURE ENGINEERING WITH MATLAB
por SKMar 14, 2020
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!
por SEFeb 25, 2020
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.
por DFeb 7, 2020
Overall I will rate it 9/10 which is really good. Only downside for me is that it was really fast, not enough interactive assignments and sometimes difficult to follow
por VAMar 9, 2020
The course is good and very well structured. It helps you understand the steps involved in feature engineering and provides proper ways to implement them in MATLAB.
por KSFeb 18, 2020
Fun (and easy) with the nice addition of playing with the Matlab functions yourself thanks to the temporary toolbox licenses.
por ORMar 5, 2020
I wish if I can give you more than five stars, Thank you for this amazing course.
por IAMar 16, 2020
The overall content was good. Quizzes could be more independent and technical.
por FMFeb 16, 2020
It provides a lot of insight about different tasks Matlab can do for you
por IMMar 4, 2020
Top course, amazingly explained and with high-valuable examples
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MathWorks
Accelerating the pace of discovery, innovation, development, and learning in engineering and science.
Sobre Programa de cursos integrados Practical Data Science with MATLAB
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.
Perguntas Frequentes – FAQ
Quando terei acesso às palestras e às tarefas?
Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.
O que recebo ao me inscrever nesta Especialização?
Quando você se inscreve no curso, tem acesso a todos os cursos na Especialização e pode obter um certificado quando concluir o trabalho. Seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.
Qual é a política de reembolso?
Existe algum auxílio financeiro disponível?
Will I have access to MATLAB?
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