explanation
Practical Data Science with MATLAB Specialization is a practical training course on how to use MATLAB for data science. After completing this course, you will gain the skills and confidence you need to achieve real results in data science. Skills such as data visualization, analytics, and modeling abilities are among the most popular career skills in fields such as healthcare systems, automation industries, and technology startups. In this specialization, you will use MATLAB. MATLAB software is used by millions of people working in engineering and science fields and has provided them with the facilities they need to perform data science tasks.
The skills you will learn in Practical Data Science through the MATLAB specialization course set include:
- data analysis
- DataViz
- matlab
- Feature Engineering
- data cleansing
- machine learning
- prediction model
- data science
Course details:
Publisher: Coursera
teacher: Erin Byrne , Michael Reardon , Maria Gavilan-Alfonso , Brandon Armstrong , Nicola Trica , Chris LaPierre , Adam Fillion , Heather Gor , Brian Buchel , Isaac Bruce , mat rich and sam jones
Language: English
Level: Beginner
Number of courses: 4
Period: 5 months, assuming 4 hours of work per week
Practical data science courses through the MATLAB specialization:
Course 1
Exploratory Data Analysis with MATLAB
course 2
Data processing and feature engineering with MATLAB
Course 3
Predictive Modeling and Machine Learning with MATLAB
4 courses
Data Science Projects: MATLAB for the Real World
Course Prerequisites:
Experience with basic math, statistics, and working with spreadsheets would be helpful. No prior experience with MATLAB or programming is required.
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This collection includes four courses:
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