- Most rated
Overall the good introductory course of python for data science but i feel it should have covered the basics in more details especially for the ones who do not have any prior programming background. I recommend this course to anyone interested in Data Science and who already has a basic knowledge of Python.
Machine Learning course by Andrew NG on Coursera is one of the best course to start learning Machine Learning. It covers enough theory to clear your basic concepts. 10 weeks long basic course on Machine Learning, good for beginners. People who know linear algebra and probability might find this one a bit slower paced, as it goes through several details of calculations.
Doing this specialisation is probably more than the first step into Deep learning. It builds a fundamental understanding of the field. But going further, you have to practice a lot. A person who has some basic understanding of maths, matrices and programming can benefit from this specialization and can have a good starting point to apply deep learning. On the other hand, the course can be a bit too basic for people who already have some experience in machine learning and deep learning.
This is an intermediate-level specialization, and it is assumed you already know how to write programs in Python. It also assumes some elementary knowledge of statistics and discrete mathematics, but nothing too advanced. As hinted at by the word "Applied" in the specialization and course titles, there is not much theory presented in this course. There is just enough theory to understand the exercises. Suggestion: Take the specialization concurrently with Andrew Ng's deeplearning.ai specialization, so you will get a nice dose of neural-network theory mixed in with data science, but people who want to understand the algorithms in detail will need further study.
This course gives you a very good idea about:
- The different parts of the whole data science pipeline.
- And how to work through the whole data science pipeline using R.
This course is useful for following:
- anyone looking to get started in data science field.
- anyone who wants to learn very basic of data science.
- anyone with very little or no knowledge of the data science or python.