Basic Course Description
Regular Expressions (Regexes) is one of the fundamental and essential skills for programmers, web developers, professional working on textual data and science students in the fields of computer science and biotechnology. Excellent Regexes skills is therefore a crucial factor for effecient processing and analysis of textual data.
This course is designed from a perspective of a student who has no prior knowledge of Regexes and the tools that are used to implement regexes. The course starts from the very basic concepts and then built on top of those basic concepts and move towards more advanced topics such as Assertions, Back referencing and Conditions.
To get the real feel of Regexes in solving and analyzing real life problems, the course includes a dedicated section on some real life examples of regexes.
The course is fun and exciting, but at the same time we dive deep into regexes to uncover its power of formulating and analyzing real life problems. The course is structured into seven Parts. Below is the detailed outline of this course.
Section 1: Introduction and getting started with regexes
Section 2: Character Classes
Section 3: Anchors and Word Boundaries
Section 4: Repetitiongs using Quantifiers
Section 5: Group Constructs
Section 6: Assertions, Conditions and Backreferencing
Section 7: Practical Examples
Finally, i can not wait to see you in the course. So hit enrol and let start learning.
Dr. Nouman Azam (Your Matlab Professor)
I am Dr. Nouman Azam and i am Assistant Professor in Computer Science. I teach online courses related to MATLAB Programming and have over 10,000 students on different online plateforms.
The focus in these courses is to explain different aspects of MATLAB and how to use them effectively in routine daily life activities. In my courses, you will find topics such as MATLAB programming, designing gui's, data analysis and visualization.
Machine learning techinques using MATLAB is one of my favourate topic. During my research career i explore the use of MATLAB in implementing machine learning techniques such as bioinformatics, text summarization, text categorization, email filtering, malware analysis, recommender systems and medical decision making.
Email: [email protected]