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Udemy

MATLAB Master Class: Go from Beginner to Expert in MATLAB

via Udemy

Overview

MATLAB programming, data structures, apps, data science, regular expressions, text processing, task automation

What you'll learn:
  • Develop beginer to advance level skills of Programming with MATLAB
  • Create a portfolio of Many MATLAB projects to apply for MATLAB jobs
  • Gain Hands-On experience with MATLAB for visualizing, analyzing and formulating intermediate and some advanced level problems using MATLAB programming skills
  • Experience some real world applications of MATLAB in solving problems
  • Be able to use MATLAB for data science and machine learning
  • Build GUIs and Desktop applications with MATLAB
  • Build power regexes and use them to identify patterns in the input text

Basic Course Description

MATLAB(matrix laboratory) is one of thefundamental and leading programming language andis a must learn skillforanyone who want to develop a career in engineering, science or related fields.Excellent MATLAB programming skills is therefore a crucial factor in making or breaking your career.

At 37+ hours of video tutorials, this MATLAB course is one of the most comprehensive MATLAB course online which will take from beginner to professional. This course is designed from a perspective of a student who has no prior knowledge of MATLAB and who is a MATLAB beginner.

Throughout this comprehensive course, we cover a massive amount of skills and techniques including:

  • Basic maths and matrix manipuation functions

  • Data import and visualization

  • MATLAB Programming, problem solving , logic development and the use of customized functions

  • Symbolic functions and variables for advance math operations

  • File and directory handling

  • Live scripts and sharing of results

  • Advance data types including cells, tables, time tables and map containers

  • Data science classification, clustering and dimensionality reduction with MATLAB

  • Essential data preprocessing tasks such as outliers, missing values, categorical attributes handling

  • Building regular expressions for textual processing

  • Building GUIs using Guide and AppDesigner

  • Automating tasks by controlling mouse, keyboard, running scripts from command window, batch files

  • Web, email and other internet related operations

  • Generating ppts, word files and pdfs

  • Code debugger and analyzer, exception handling, startup, finish and diary functions.

The course ensures that you learn by including

  • Practice exercise questions along with solutions

  • Challenging Exercise Questions

  • Quizes and

  • Takeaway code templates

By taking this course, you will become a fluent MATLAB programmer and you'll be so good so that you can get a reasonable job offer as a MATLAB developer and use the language professionally.

Don't just rely on my word, check what some of our existing students have to say about the same course

"I had viewed the video in the propose sequence, as well, as I had looked at some videos outside of the instructor propose sequence, and only had one thing to say: - This course is excellent!!!!!!!!!!!!!" Gabriel Federo Hungria

"I have gone through the course on MATLAB Gui by the instructor. It was an A++ experience. He is the best instructor, really professional and knows exactly what to teach. Thanks for your wonderful contribution to help us understand MATLAB." Kunal Singh

"Very interesting course, complete functionality of Matlab was explained and the quizzes further helped with the learning process." Hassan Ayub

Pleaset note… I am very confident that you will like the course and therefore provides you with a FULL money back guarantee for 30 days! So there is a ZERO risk and nothing to loose.

Finally, i am super excited to teach you matlab, so hit enroll and enjoy learning MATLAB




Syllabus

  • Course and Instructor Introduction
  • ------------ Part 1: MATLAB from Beginer to Advance -----------------
  • 1.1: Handling variables and Creating Scripts
  • 1.2: Doing Basic Maths in MATLAB
  • 1.3: Operations on Matrices
  • Section 1.4: Lets Learn Problem Solving and Have Some Practice
  • 1.5: Advance Math Functions with Symbolic Data Type
  • 1.6: Interacting with MATLAB and Graphics
  • 1.7: Importing Data into MATLAB
  • 1.8a: MATLAB Programming
  • Section 1.8b: Polishing Programming Skills with More Practice
  • 1.8: Making your own functions
  • 1.9: Sharing your MATLAB Results
  • ------------ Part 2: Advance MATLAB Data Types ----------------------
  • 2.1: Cell Data Type
  • 2.2: Tables and Time Tables
  • 2.3: Working with Structures and Map Container Data Type
  • 2.4: Data Types Conversions
  • ----------- Part 3: Machine Learning for Data Science using MATLAB ------------
  • 3.1: Data Preprocessing
  • 3.2: Classification
  • 3.2.1: K-Nearest Neighbor
  • 3.2.2: Naive Bayes
  • 3.2.3: Decision Trees
  • 3.2.4: Support Vector Machines
  • 3.2.5: Discriminant Analysis
  • 3.2.6: Ensembles
  • 3.2.7: Performance Evaluation
  • 3.3: Clustering
  • 3.3.1: K-Means
  • 3.3.2: Hierarchical Clustering
  • 3.4: Dimensionality Reduction
  • 3.5: Project: Malware Analysis
  • ------------- Part 4: Data Preprocessing for Machine Learning using MATLAB -----
  • 4.1: Handling Missing Values
  • 4.2: Dealing with Categorical Variables
  • 4.3: Outlier Detection
  • 4.4: Feature Scaling and Data Discretization
  • 4.5: Project: Selecting the Right Method for your Data
  • ------------- Part 5: Automate your Tasks using MATLAB ------
  • 5.1: Controlling Mouse and Keyboards to Automate Tasks
  • 5.2: Emails, Web and Running Scripts from Command Window
  • 5.3: Automatically Moving Deleting and Browsing Files
  • 5.4: Exceptions, assert, startup, finish, diary
  • 5.5: Automate user interactions
  • 5.6: Code debuggging and analyzer
  • 5.7: Textual processing for automatic summarization of contents
  • 5.8: Generating ppts, word documents and pdfs
  • ----------- Part 6: Regular Expressions using Matlab ------------
  • 6.1: Introduction to Regular Expressions

Taught by

Nouman Azam

Reviews

4.6 rating at Udemy based on 5934 ratings

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