This course consists of a series of lessons and tutorials aimed at providing an introductory overview of data science implementation in MATLAB®, a widely used, numeric and computing platform which works with many types of data and file formats. In this course, you will learn the basic concepts behind data science in general, as well as how to apply those concepts within the MATLAB framework in particular.
Data Science in MATLAB®
Course Features
Lectures
Videos
Tutorials
Code / Datasets
Lessons of this Course
1
1
Duration:
6:10
Speaker:
This demonstration walks through how to import your data into MATLAB.
2
2
Duration:
15:10
Speaker:
This lesson provides instruction regarding the various factors one must consider when preprocessing data, preparing it for statistical exploration and analyses.
3
3
Duration:
2:49
Speaker:
This tutorial outlines, step by step, how to perform analysis by group and how to do change-point detection.
4
4
Duration:
6:10
Speaker:
This tutorial walks through several common methods for visualizing your data in different ways depending on your data type.
5
5
Duration:
6:27
Speaker:
This tutorial illustrates several ways to approach predictive modeling and machine learning with MATLAB.
6
6
Duration:
3:55
Speaker:
This brief tutorial goes over how you can easily work with big data as you would with any size of data.
7
7
Duration:
3:52
Speaker:
In this tutorial, you will learn how to deploy your models outside of your local MATLAB environment, enabling wider sharing and collaboration.
