Master Clustering Analysis for Data Science using Python

Learn to implement clustering algorithms using Python with practical examples and datasets

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Basic Course Description

This course is for you if you want to have a real feel of the clustering algorithms without having to learn all the complicated maths . Additionally, this course is also for you if you have had previous hours and hours of classroom theory on the subject but could never got a change or figure out how to implement and solve data science problems with it.

The approach in this course is very practical and we will start everything from very scratch . We will immediately start coding after a couple of introductory tutorials and we try to keep the theory to bare minimal. All the coding will be done in Python which is one of the fundamental programming languages for engineer and science students and is frequently used by top data science research groups world wide.

Below is the brief outline of this course.

Segment 1: Introduction to course

Segment 2: KMeans Clustering

Segment 3: Mean Shift Clustering

Segment 4: DBSCAN Clustering

Segment 5: Hierarchical Clustering

Segment 6: HDBSCAN Clustering

Segment 7: Applications of Clustering

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Your Benefits and Advantages:

  • If you do not find the course useful, you are covered with 30 day money back guarantee, full refund, no questions asked!
  • You will be sure of receiving quality contents since the instructors has already many courses on Data Science on udemy.
  • 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.

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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 ...

We are excited to see you in the course!

Best Regrads,

Dr. Nouman Azam

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Student Testimonials for Dr. Nouman Azam!

★★★★★

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) "


Your Instructor


Dr. Nouman Azam
Dr. Nouman Azam

Dr. Nouman Azam is an Assistant Professor in Computer Science. He teaches online courses related to MATLAB Programming to more than 10,000 students on different online platforms.

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 techniques using MATLAB is one of my favorite topics. 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.


Course Curriculum


  Introduction to the Course
Available in days
days after you enroll
  KMeans Clustering
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days after you enroll
  Mean Shift Clustering
Available in days
days after you enroll

Frequently Asked Questions


When does the course start and finish?
The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.
How long do I have access to the course?
How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own.
What if I am unhappy with the course?
We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund.

Get started now!