RiseUpp Logo
RiseUpp Logo
Data Processing and Feature Engineering with MATLAB
Educator Logo

Powered by

Provider Logo

Completion

CERTIFICATE

olive-leaves-logo

Data Processing and Feature Engineering with MATLAB

This course is part of Practical Data Science with MATLAB.

Course Cost

Free course

Intermediate

Skill Level

18 Hours

Self-paced lessons

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Practical Data Science with MATLAB Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

olive-leaves-logo

4.7

15,192 Enrolled

olive-leaves-logo

English

Powered by

Provider Logo
olive-leaves-logo

4.7

15,192 Enrolled

olive-leaves-logo

English

What you'll learn

  • Prepare and clean data by handling missing values and outliers

  • Create and evaluate features for machine learning applications

  • Process text, audio, and image data effectively

  • Perform unsupervised learning for feature selection

  • Merge and synchronize data from multiple sources

Skills you'll gain

Feature Engineering
Data Cleaning
MATLAB Programming
Signal Processing
Image Processing
Text Analytics
Data Preprocessing
Dimensionality Reduction
Clustering
Time Series Analysis

This course includes:

3.8 Hours PreRecorded video

11 assignments

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

Closed caption

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

CREATED BY

Educator Logo

PROVIDED BY

Provider Logo
Certificate
Certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

CREATED BY

Educator Logo

PROVIDED BY

Provider Logo

Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

icon-0icon-1icon-2icon-3icon-4

There are 5 modules in this course

This intermediate-level course builds on Exploratory Data Analysis skills to prepare data for predictive modeling. Students learn to handle missing data, remove noise, identify outliers, and merge data from multiple sources. The curriculum covers feature engineering techniques for various data types including text, audio, and images. Through hands-on exercises, learners develop skills in data cleaning, normalization, and feature evaluation for machine learning applications.

Surveying Your Data

Module 1 · 3 Hours to complete

Organizing Your Data

Module 2 · 3 Hours to complete

Cleaning Your Data

Module 3 · 3 Hours to complete

Finding Features that Matter

Module 4 · 4 Hours to complete

Domain-Specific Feature Engineering

Module 5 · 5 Hours to complete

Fee Structure

Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Practical Data Science with MATLAB

Reviews

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Data Processing and Feature Engineering with MATLAB

Intermediate

Skill Level

18 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.