This course is excellent! I found it to be a valuable introduction to data science, covering essential concepts in a clear and engaging manner. The hands-on approach, particularly the final project, provided practical experience that boosted my confidence. Highly recommended for anyone starting their data science journey.

Seluruh materi dalam kursus ini sangat mudah dipahami dan disajikan dalam bahasa yang sederhana. Selain itu, peserta juga diberikan banyak contoh kasus yang relevan dan menarik sehingga membuat kursus menjadi lebih interaktif dan memungkinkan peserta untuk mempraktikkan langsung di tempat kerja atau proyek mereka.

Great course. The best part in this course is that there are quizzes after every video. This makes this course very interesting. You can immediately test whatever you learned in the video via the quizzes. Next, the tutors are very knowledgeable ,clear and to the point. So, you don't get a chance to get bored.

A very enjoyable course that has opened my eyes to data science. Not coming from a data / mathematical background is not a huge drawback, but be prepared to read around the subject matter if you want to gain a better appreciation of the course slides and videos. Very happy that I found this course.

I think this is a very good course for beginners in Data Science and Python. I know how to implement K-means algorithm but wanted to learn Python, so I took this course. It is well organized, and videos are short and concise. I am looking forward to more intermediate / advanced courses of this.

I thoroughly enjoyed the course. The tutors were great and the videos were of excellent quality. As a novice in Python, this course gave me a gentle yet sufficient introduction to the basics of Python along with some of its powerful packages: Pandas, NumPy&Matplotlib and Scikit-learn.

Great course. It involves a lot of independent work but that is the nature of learning to programme in any language. Once you get down to doing the work the course is enjoyable and the learning curve is steep and therefore productive. Time well invested

I enjoy and learn a lot in this data science course. I used Python in my algorithm courses several years ago, but this is my first data science course. I studied nearly everyday and completed in four weeks. The topics are practical and interesting.

It is a very good course about the foundations of Data Science. As a person new to all this world of Data I was able to understand it all, watching the videos and reading the notes, just be patient and open your brain to absorb the information !

The Course was really helpful to learn as abasic learner about working with different datasets. Applying different libraries in python and visualise the data with clustering concepts were very well explained in the course.

Great Course which was not an easy course but fabulous tutors competently delivered the course in a structured way and made my learning curve very enjoyable. Thank you Tutors and Coursera for making it possible :)

One of the best courses on machine learning that starts from the mathematical concept of k-means clustering and walks you through the algorithm and the programming step-by-step. Thanks a lot to the instructors!

This course is short in length but with wealth of information. From statistical concepts of the data science to the key Machine Leaning concepts it will enable you with many skills and bundle of knowledge.

This course has great potential for future Data Scientists and it gives a breif explination of what we are dealing in the companies by giving us real life problems and making us solve those problems.

I love this course as it gives me the foundations of learning the Python coding program and relevant statistical methods that used for data analysis. It's really interesting course to attend to.

Well explained but brief enough to not let you get bored. Challenging if you put effort, it helped me restart programming! Loved it. Well rounded course even if on a very specific topic!

Very interesting course! The lecturers explain concepts thoroughly which makes the concepts easy to understand even for people without much knowledge in Data Science

It was a well-taught course. I felt that during the final project-making, students were not spoon-fed, instead, pushed us to become more creative.

I learnt alot, a very good foundation course. It made me have more interest in learning more in Data Science particularly using Python language

Week 3 is a bit difficult for those who don't have a strong maths background. More explanation on the mathematics notations can be helpful.

A Great course which successfully marries both the mathematical/statistical foundations for K-Means and also its implementation in Python.

Very informative course. You can learn how to cluster and clisfy data and how to write down report on the given statistical analysis.

The content is beginner-friendly and gives students the tools they need to begin understanding how to use Python for Data Science.

This course gave me a good glimpse into the world of data science. the teaching, exercises and project were a great way to learn.

Very good course to help you understand the basics of data science, the videos are short so will not cover everything you need