- 7 Sections
- 26 Lessons
- 100 Weeks
- An Introduction to DataData science is a field of study that focuses on techniques and algorithms to extract knowledge from data. The area combines data mining and machine learning with data-specific domains. This section focuses on defining "data" before going to any complicated topic.4
- Data Dimensionality and SpaceThis section's focus is on defining the common terminology widely used in data science. The video lectures in this section focus on terms like objects, data points, features, dimensions, vectors, high-dimensional data, and mathematical space.6
- Proximity in Data Science ContextMany data mining and machine learning algorithms rely on distance or similarity between objects/data points. Video lectures in this section focus on standard proximity measures used in data science. The section also explains how to use proximity measures to examine the neighborhood of a given point.5
- Clustering algorithmsA large portion of data science focuses on exploratory analysis. Scientists and practitioners use statistical techniques to understand the data. One way to explore the data is to check if there are clusters of data points. A cluster is a group of data points that have similar features. This section explains the clustering algorithms.8
- 4.1What is clustering?
- 4.2Quiz: introduction to clustering5 Minutes2 Questions
- 4.3A few types of clustering algorithms
- 4.4k-means clustering algorithm
- 4.5Quiz: k-means clustering10 Minutes4 Questions
- 4.6Hierarchical Clustering Algorithm
- 4.7Density-based clustering algorithm: DBSCAN
- 4.8Evaluation of clustering algorithms: Measure the quality of a clustering outcome
- Classification algorithmsA large part of machine learning-driven data science focuses on classification problems. This section explains several classification algorithms. Also, it explains linear regression-based prediction.5
- PageRank algorithmThe PageRank algorithm is a sophisticated method of evaluating the importance of web pages by examining their linking structure. This section describes the history of PageRank algorithm, how it works, and the python implementation of PageRank algorithm.2
- Outlier detectionThis section explains outlier detection mechanisms, such as the use of Boxplot technique.1
Hi, Thank you for visiting this Data Science course, which is a part of Computing4All.com. In this course, I include easy-to-understand materials covering topics from data mining and machine learning. I try to explain the algorithms and the mathematics behind those algorithms in such a way that the resources do not overwhelm the learners. At the same time, I make sure that each lecture has adequate core content to build a data science foundation. I am still creating content and adding them to this curriculum.
Of course, this course is free of any cost. All the videos in this course are public and uploaded on YouTube. Subscribe to the YouTube channel to receive notifications directly from YouTube when we publish any new video. Register to Computing4All.com and start the course right today.
Enjoy. I hope to see you in the lessons of this Data Science course.
Course Features
- Lectures 26
- Quizzes 5
- Duration 50 hours
- Skill level All levels
- Language English
- Students 1936
- Assessments Yes
76 Comments
Great to be here to learn from this abundant resource.
Hi is this course virtual or one on one course prof?
hi my name is Adane the BSc degree is in GIS is it learn MSC degree in data science
U need MSc in English
Hi, my name is Shile Olawale, I studied computer science in my university. I will like to know what data science is all about. Thanks
sir i am so eager to learn DS
I am keenly interested in data science.
I’m so passionate to come into contact with this course. God bless you sir
How can I enroll in this course I’m not getting any source or point
sir! it is highly a great job you have done, thanks in abundant. But would love it much better and appealing if you will find a space in your heart do one day make certificate available for the courses.
men ma’lumotlar fanini o’rganishni xoxlayman
Thank you for sharing it it will be more helpful and informative tool for updating and learning.
I want to learn data science
Hello. What are the opportunities a data have
Hi sir, I’m excited to learn DS and ML course
I’m glade meeting you in this channel. This is Zenabu from Ethiopia. I want to ask you about Certificate. After completing the course how can I get the Certificate? How much it costs?
Best regards!
Hi, Thank you for your message. The course is currently free and does not offer a certificate. Maybe, I will devise a mechanism to give certificates someday when I add more content to the course. Thank you for your question.
Ok I’m Lawrence E Smith I really love to learn this to my best to lived in it for the future for my families not just that but, for the next generation
I love the enthusiasm. Thank you for your message.
Prof. please I want to register for this course. Where can I go for it? I have been searching for where I can do it all along.
Christian Nwokeji
(magazinecoord@gmail.com)
Please may I know what is the cost for full version of your course – Data science) Machine learning.
I would like to know the details of the course and methods of payment please.
My contact detail is magazinecoord@gmail.com.
Chris Nwokeji.
Hi, Thank you for your message. The course is currently free of any cost. You can click the “Start Now” button to start the course. So far, I have kept most of the content public.
i am so eager to learn data science