Advance MATLAB Data Types and Data Structures
4.3 (5 ratings)
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Advance MATLAB Data Types and Data Structures

Learn cells, tables, time tables and strucutres that are essential data types of MALTAB programming with examples
4.3 (5 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
485 students enrolled
Created by Nouman Azam
Last updated 9/2017
Current price: $12 Original price: $25 Discount: 52% off
3 days left at this price!
30-Day Money-Back Guarantee
  • 3 hours on-demand video
  • 1 Article
  • 1 Supplemental Resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion

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What Will I Learn?
  • The essential and unique MATLAB data types necessary for MATLAB programming and data analysis.
  • At the end you can confidently use different data types and structures such as Cells, Tables, Time Tables, Structures and Map Containers.
  • You will be able to convert between different data types.
View Curriculum
  • General know how of MATLAB programming

Basic Course Description 

MATLAB (matrix laboratory) is a multi-paradigm numerical computing environment and fourth-generation programming language which is frequenlty being used by engineering and science students. While teaching to students and observing different MATLAB related courses on Udemy for more than six months now. I realized that there is a need for a course which should cover the key data types such as Cells, tables, time tables, structures and Map containers which should provide the students with the essential skills for taking full advantage of MATLAB strengths in data analysis and programming.  

In this course we not only cover these data Types but also demonstrates different functions and operation and their conversions to make analysis and programming a greater experience. 

The following are the outlines of this course. 

Segment 1: introduction to the Course

Segment 2: Cell Data Type

Segment 3: Table Data Type 

Segment 4: Time Table Data Type

Segment 5: Structures

Segment 6: Map Containers

Segment 7: Conversion between Different Data Types


Your Benefits and Advantages

  • You receive knowledge from a Ph.D. in Computer science with over 10 years of teaching and 15 years of programming experience and another decade of experience in using MATLAB
  • The instructor has 6 courses on udemy on MATLAB including a best seller course. 
  • The overall rating in these courses are (4.5/5)
  • If you do not find the course useful, you are covered with 30 day money back guarantee, full refund, no questions asked!
  • You have lifetime access to the course.
  • You have instant and free access to any updates i add to the course.
  • You have access to all Questions and discussions initiated by other students.
  • You will receive my support regarding any issues related to the course.
  • Check out the curriculum and Freely available lectures for a quick insight.


Student Testimonials!


This is the second Udemy class on Matlab I've taken. Already, a couple important concepts have been discussed that weren't discussed in the previous course. I'm glad the instructor is comparing Matlab to Excel, which is the tool I've been using and have been frustrated with. This course is a little more advanced than the previous course I took. As an engineer, I'm delighted it covers complex numbers, derivatives, and integrals. I'm also glad it covers the GUI creation. None of those topics were covered in the more basic introduction I first took.

Jeff Philips


Great information and not talking too much, basically he is very concise and so you cover a good amount of content quickly and without getting fed up!

Oamar Kanji


The course is amazing and covers so much. I love the updates. Course delivers more then advertised. Thank you!

Josh Nicassio

Student Testimonials! who are also instructors in the MATLAB category


"Concepts are explained very well, Keep it up Sir...!!!"

Engr Muhammad Absar Ul Haq instructor of course "Matlab keystone skills for Mathematics (Matrices & Arrays)"


It's time to take Action!

Click the "Take This Course" button at the top right now!

...Time is limited and Every second of every day is valuable...

I am excited to see you in the course!

Best Regrads,

Dr. Nouman Azam


Who is the target audience?
  • Researchers, Entrepreneurs, Instructors, College Students, Engineers, Programmers, Simulators
Compare to Other MATLAB Courses
Curriculum For This Course
30 Lectures
Introduction to the Course
2 Lectures 05:55

Instructor Introduction
Cells Data Type
4 Lectures 26:09

Adding and Deleting Elements from a Cell

Concatenating Cells and Passing Cell Contents to a function
Table Data Type
8 Lectures 44:25

Selecting and Reordering Rows

Sorting Rows of a Table

Setting Different Properties of the Table

Storing and Retrieving Tables

Storing Summary of a Table

Adding and Deleting Columns
Time Tables
4 Lectures 29:10
Creating Time Tables

Properties, Sorting and Data Selection in Time Tables

Concatenating Time Tables

Indexing and Retrieving Data based on Row Times
5 Lectures 26:21
Creating Structures

Retrieving Data from a Field of a Structure

Concatenating Structures

Storing Data from a Structure Field in a variable

More Operations on Structures
Map Containers
2 Lectures 14:15
Creating Map Containers

Concatenation and More Operations on Containers
Data Types Conversions
4 Lectures 33:52
Converting other data types to cell

Converting Cell to other Data Types

Converting from other to table data type

Converting from other data types to table
Discounted coupons for MY other MATLAB courses
1 Lecture 00:01
Discounted coupons for MY other MATLAB courses
About the Instructor
Nouman Azam
4.4 Average rating
200 Reviews
5,314 Students
7 Courses
Your Computer Science Professor

I am Dr. Nouman Azam and i am Assistant Professor at the Department of Computer Science, National University of Computer and Emerging Sciences.I had over a decade of experience in research and teaching. 

My research work is mainly on the exploration of machine learning techniques in application areas such as bioinformatics, text summarization, text categorization, email filtering, security, recommender systems and medical decision making. On theoretical side, i am interested in applying the theories of rough sets, game theory, optimization and conflict analysis to machine learning tasks. For my Masters thesis, i applied different machine learning techniques to select important features in spam email filtering. For my doctoral thesis, i investigated the applications of machine learning techniques such as rough sets, game theory, genetic algorithms, gradient descent and others to learn and extract data patterns. In the recent past, I taught many machine learning related courses at the undergraduate and graduate levels. 

MATLAB remained my number one choice for implementing ideas and converting my code to meaningful softwares. I implemented all the code of my Masters and Doctoral thesis in MATLAB. Currenlty, i have six courses on MATLAB on the udemy plateform including best seller and top ranked courses.