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