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.
Этот курс входит в специализацию ''Специализация Practical Data Science with MATLAB'
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Об этом курсе
Приобретаемые навыки
- Feature Engineering
- Matlab
- Data Cleansing
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MathWorks
Accelerating the pace of discovery, innovation, development, and learning in engineering and science.
Программа курса: что вы изучите
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.
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.
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.
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.
Рецензии
- 5 stars76,29 %
- 4 stars19,15 %
- 3 stars2,92 %
- 1 star1,62 %
Лучшие отзывы о курсе DATA PROCESSING AND FEATURE ENGINEERING WITH MATLAB
Great intro and additional learning into data analysis, handling, processing filtering plotting and manipulation with MATLAB.
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.
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.
This is a great course from Matlab. It is very well designed and easy to follow. I could apply such big concepts with easiness and get a good understanding.
Специализация Practical Data Science with MATLAB: общие сведения
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?

Часто задаваемые вопросы
Когда я получу доступ к лекциям и заданиям?
Что я получу, оформив подписку на специализацию?
Можно ли получить финансовую помощь?
Will I have access to MATLAB?
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