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In this article, I am going to map out the things you need to do to become a Data Scientist. This article may solely be for beginners, however, there may be a thing or two that current Junior Data Scientists may have missed out on. This is where I am here to help fill in those gaps so that you don’t have to feel imposter syndrome or lack of confidence on your data science journey.
I will be taking you through the steps – it is a roadmap at the end of the day.
Python is one of the most popular programming languages today and more and more people are adopting it due to its simplicity. So if you’re looking to enter data science and have not chosen a programming language yet – Python is always a good start.
Here are some courses to help you get started:
100 Days of Code: The Complete Python Pro Bootcamp for 2022 – Udemy
Programming for Everybody (Getting Started with Python) – Coursera (University of Michigan)
Once you understand alphabets and how vowels work, that’s when you can start to construct sentences. That’s how I see programming languages and sectors such as data science and machine learning.
Once you get a hang of the programming language Python, you should then be on a good page to see how you can use that skill and apply it to data science and/or machine learning.
Here are some courses to help you get there:
Python for data science and machine learning Bootcamp – Udemy
The data science Course 2022: Complete data science Bootcamp – Udemy
Due to the demand for Data Scientists, Data Engineers, machine learning Engineers, etc – there are a lot of bootcamps out there. Although they are great, some of them neglect how important Mathematics and Statistics are to becoming the best Data Scientist or machine learning Engineer you can be.
Math and Stats are important and you need to understand them thoroughly to be able to apply your coding skills in the real world. Although the above data science and machine learning Bootcamp courses will go over Mathematics and Statistics, it is a vital element to your data science journey that you need to get your head around.
So here are some other resources to help you with that:
Statistics Fundamental by Josh Starmer – YouTube
Mathematical Foundations of machine learning – Udemy
Statistics for data science and Business Analysis – Udemy
If you purely want to become a Data Scientist and that’s that – it is still important for you to understand the concept of machine learning and Deep Learning deeper. artificial intelligence umbrellas all 3 areas, and they have similarities therefore it is good for yourself and your career to understand and be proficient.
Here are some courses that can further help you with this:
Machine Learning
CS229 machine learning – Stanford
Applied machine learning by Andreas Mueller – YouTube
machine learning by Josh Starmer – YouTube
Deep Learning
Deep Learning Crash Course for Beginners by freeCodeCamp.org – YouTube
Complete Deep Learning by Krish …….
Source: https://www.kdnuggets.com/2022/08/complete-data-science-study-roadmap.html