Practical Data Science with MATLAB Specialization – Coursera

Practical Data Science with MATLAB Specialization

Description

Practical Data Science with MATLAB Specialization is a practical training course for working with MATLAB for data science. By completing this course you will gain the skills and confidence to achieve practical results in data science. Skills such as the ability to visualize data, analyze and model data are among the most demanded job skills in various fields such as the health system, the automation industry, and technology start-ups. During this specialization, you will use MATLAB. MATLAB software is used by millions of people working in engineering and scientific fields and has provided the necessary facilities to perform your data science tasks.

The skills you will learn in the Practical Data Science with MATLAB Specialization course:

  • data analysis
  • Data visualization (DataViz)
  • MATLAB
  • Feature Engineering
  • data set
  • machine learning
  • Predictive models
  • data science

Course details:

Publisher: Coursera
teacher: Erin Byrne, Michael Reardon, Maria Gavilan-Alfonso, Brandon Armstrong, Nikola Trica, Chris LaPierre, Adam Filion, Heather Gorr, Brian Buechel, Isaac Bruss, Matt Rich And Sam Jones
English language
Education level: introductory
Number of courses: 4
Duration: assuming 4 hours of work per week, 5 months

Available courses in Practical Data Science with 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

COURSE 4
Data Science Project: MATLAB for the Real World

Course prerequisites:

Basic math, statistics and some experience working with spreadsheets will be helpful. No prior experience with MATLAB or programming is necessary.

Pictures

Sample video

Installation guide

After Extract, view with your favorite Player.

Subtitles: English and other languages

Quality: 720

This collection includes 4 different courses.

download link

Download part 1 – 1 GB

Download part 2 – 784 MB

Password file(s): www.downloadly.ir

Size

1.8 GB

4.6/5 – (4585 points)

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