Data Science & AI Advanced Full Course - From Zero to Pro (Udemy.com)

the lecture is very comprehensive but too imperfect coding make it look like beginner will not encounter errors. make some errors deliberately in the code to bring learners attention that beginner make and then resolved the error

in section 1 instructor provides very clear introductions about mentioned modules like data collection,preprocessing, EDA ,data visualization and machine learning fundamentals.

Great course! It was a bit heavy at the beginning but became much easier to read through once we reached the later end which included project tutorials and hands-on projects involving PyTorch and TensorFlow.

Very interesting and learned a lot from this bootcamp, i reached just halfway, when i finished completly then i got more effective in every concept that you have covered. Thank you so much Udemy.

I really like this course . The way of explanation is best . Content is accurate and easy so that it can be understand by anyone easily. I must say everyone should watch these videos

i did come across this comment saying "think this is really not for people from Zero to Pro. To really follow along, I think you need to know Calculus and also Python. Just my personal opinion, I suggest the study sequence as below: Section 1 - 2 Section 15 - 18 Section 3 - 14" the commentor was one named vincent K.You could have atleast placed the tensorflow and pytorch tutorial at the beginning of the course,which could have eased the learning for me.it was kinda difficult to learn it without tensorflow and pytorch basics at beginning.now i need to go overall course atleast from section 3 -14.but i should admit it was a great course as if i ever reached intermediate level in datascience this course will be a milestone for me.as it teaches many core subjects that no other courses will teach.i find it very useful and i will retake this course because its very valuable but i just couldn't understand some topics,i will try to learn it somehow.

Porque el tema de la limpieza y preprocesamiento de datos es algo fundamental, los datos es el insumo principal para realizar el análisis pertinente, y es correcto que la información bruta viene con muchos errores, formatos incorrectos, duplicados, etc. Pero lo que se me hizo más importante es como tratar cuando falta información o hay datos anómalos que pueden distorsionar la información, el cómo tratarlos es algo que comúnmente nadie te dice o al menos no lo sabía y sin duda ahora me ayudara a tratar la información para que sea mucho mejor en futuros análisis

I think this is really not for people from Zero to Pro. To really follow along, I think you need to know Calculus and also Python. Just my personal opinion, I suggest the study sequence as below: Section 1 - 2 Section 15 - 18 Section 3 - 14

I am been in search for a good data science course. I am happy that I have finally found one. Apart from being beginner-friendly, the awesome projects make it more interesting. I recommend it to anyone willing to start a career in data science and machine learning.

I really enjoyed this course. The concepts were well explained, and the assignments were helpful. I felt it was a perfect match for me because I learned new skills and improved my understanding. The instructor’s teaching style was also great.