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.
Ce cours fait partie de la Spécialisation Practical Data Science with MATLAB
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À propos de ce cours
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Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Cours 2 sur 4 dans le
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Niveau intermédiaire
Approx. 17 heures pour terminer
Anglais
Sous-titres : Anglais
Compétences que vous acquerrez
Feature EngineeringMatlabData Cleansing
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Cours 2 sur 4 dans le
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Niveau intermédiaire
Approx. 17 heures pour terminer
Anglais
Sous-titres : Anglais
Offert par
MathWorks
Accelerating the pace of discovery, innovation, development, and learning in engineering and science.
Programme du cours : ce que vous apprendrez dans ce cours
3 heures pour terminer
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 heures pour terminer
10 vidéos (Total 46 min), 4 lectures, 2 quiz
10 vidéos
Overview of Data Processing and Feature Engineering3 min
Instructor Introduction2 min
Introduction to Module 11 min
Introduction to the Flights Dataset7 min
Exploring the Flights Dataset5 min
Describing Distributions6 min
Examples of Distributions5 min
Visualizing Multi-Dimensional Data8 min
Summary of Module 1: Surveying Your Data2 min
4 lectures
Download and Install MATLAB15 min
Data and Code Files15 min
Variables in the Flights Dataset15 min
Practice Visualizing Multidimensional Data45 min
2 exercices pour s'entraîner
Understanding the Flights Dataset20 min
Module 1 Quiz30 min
3 heures pour terminer
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 heures pour terminer
8 vidéos (Total 34 min), 2 lectures, 3 quiz
8 vidéos
Working with Strings7 min
Working with Dates and Times4 min
Importing Multiple Data Files4 min
Combining Data5 min
Joining Tables5 min
Sorting Your Data3 min
Summary of Module 2: Organizing Your Data2 min
2 lectures
Practice Working with Strings15 min
Practice Using Dates and Times30 min
2 exercices pour s'entraîner
Practice Working with Strings15 min
Quiz 2: Organizing Your Data1 h
3 heures pour terminer
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 heures pour terminer
9 vidéos (Total 44 min), 2 lectures, 3 quiz
9 vidéos
Identifying Missing Data6 min
Handling Missing Data5 min
Identifying Outliers5 min
Investigating Outliers6 min
Normalizing Data4 min
Examples of Normalizing Data4 min
Smoothing Data7 min
Summary of Module 3: Cleaning Your Data1 min
2 lectures
Practice Working with Outliers1 h
Cleaning Data: Analyzing Flight Volume30 min
2 exercices pour s'entraîner
Practice Quiz: Putting it all Together15 min
Quiz 3: Cleaning Your Data40 min
4 heures pour terminer
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 heures pour terminer
7 vidéos (Total 35 min), 4 lectures, 2 quiz
7 vidéos
Introduction to Feature Engineering5 min
Introduction to Unsupervised Learning3 min
Introduction to Clustering Algorithms6 min
Evaluating Features8 min
Introduction to Dimensionality Reduction and PCA5 min
Summary of Module 4: Finding Features that Matter1 min
4 lectures
Examples of Feature Engineering30 min
Example of K-means Clustering15 min
Applying Filter Methods30 min
Applying PCA45 min
1 exercice pour s'entraîner
Quiz 4: Finding Features that Matter45 min
Avis
Meilleurs avis pour DATA PROCESSING AND FEATURE ENGINEERING WITH MATLAB
par SK14 mars 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!
par SE25 févr. 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.
par LS23 mars 2020
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!
par DM7 avr. 2020
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 !
À propos du Spécialisation 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.
Foire Aux Questions
Quand aurai-je accès aux vidéos de cours et aux devoirs ?
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.
À quoi ai-je droit si je m'abonne à cette Spécialisation ?
Lorsque vous vous inscrivez au cours, vous bénéficiez d'un accès à tous les cours de la Spécialisation, et vous obtenez un Certificat lorsque vous avez réussi. Votre Certificat électronique est alors ajouté à votre page Accomplissements. À partir de cette page, vous pouvez imprimer votre Certificat ou l'ajouter à votre profil LinkedIn. Si vous souhaitez seulement lire et visualiser le contenu du cours, vous pouvez accéder gratuitement au cours en tant qu'auditeur libre.
Quelle est la politique de remboursement ?
Si vous vous abonnez, vous bénéficiez d'une période d'essai gratuite de 7 jours, durant laquelle vous pouvez annuler votre abonnement sans pénalité. Ensuite, nous n'accordons plus de remboursements, mais vous pouvez annuler votre abonnement à tout instant. Consultez notre politique de remboursement complète.
Une aide financière est-elle possible ?
Oui, Coursera offre une Aide Financière aux étudiants qui n'ont pas les moyens d'acquitter les frais. Demandez-la en cliquant sur le lien Aide Financière sous le bouton S'inscrire situé à gauche. Vous devrez remplir un formulaire de demande et vous serez averti(e) si elle est acceptée. Vous devrez répéter cette procédure pour chaque cours de la Spécialisation, y compris pour le Projet Final. En savoir plus.
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.
D'autres questions ? Visitez le Centre d'Aide pour les Etudiants.
