Advice on where to continue in the field of data engineering and machine learning I finished a 28 hours Machine learning with python (Basic course) on Udemy, and it was very beneficial.
My aim, is to be able to understand what is ML and how to use its concepts while working with data.
I am confused about where to continue. My goal is to be a data engineer/analyst or at least data engineer.
I am searching for courses on coursera, because of its credibility.
I found a course from University of Michigan: Applied data science with Python.
But I am confused if I should take something else in order to start my data science job search. I know it is going to be a long process to finish.
Any suggestions on how to proceed in this journey as I am really confused.
Feel free to remove my question if it was not supposed to be asked here.
Dataquest is a great place to start. It will help you bridge the gap from just learning to actually coding as a data analyst, data engineer, or data scientist. Unlike most online courses, there are no videos, and they provide an interactive coding and learning environment that makes it very easy to learn the practical techniques you'll actually need to work on real-world data and problems.
The best part about Dataquest is their guided projects that are part of every topic you learn. If you want to eventually get a job as a data analyst, scientist, or engineer, you are going to need a portfolio of projects to show what you know, and Dataquest helps guide you through the entire process.
fast.ai is another great place to learn about machine learning, and deep learning in particular, all for free. They teach using a top-down approach that will get you working on your own projects and data in no time.