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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Cours 2 sur 4 dans le
Niveau intermédiaire
Approx. 20 heures pour terminer
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Sous-titres : Arabe, Français, Portugais (européen), Italien, Vietnamien, Allemand, Russe, Anglais, Espagnol
Compétences que vous acquerrez
- Feature Engineering
- Matlab
- Data Cleansing
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
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
Niveau intermédiaire
Approx. 20 heures pour terminer
Anglais
Sous-titres : Arabe, Français, Portugais (européen), Italien, Vietnamien, Allemand, Russe, Anglais, Espagnol
Offert par
MathWorks
Accelerating the pace of discovery, innovation, development, and learning in engineering and science.
Programme de 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
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
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
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), 5 lectures, 2 quiz
Avis
- 5 stars76,29 %
- 4 stars19,15 %
- 3 stars2,92 %
- 1 star1,62 %
Meilleurs avis pour DATA PROCESSING AND FEATURE ENGINEERING WITH MATLAB
par MM30 nov. 2020
A very beautiful course based on the content. Just rushes with the content in the last 3 weeks. A week could be added to evenly distribute the content and not rush through it.
par AT9 juil. 2020
The course was easy to follow and the sections in the week 5 module showed some real life applications of the methods learnt throughout the course.
par D7 févr. 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
par CO10 mai 2020
Excellent course and specialization. If you want to get started on Data Science fast this is the way to go. Thank you Mathworks staff for providing high quality content.
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?
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