Data is the new Oil and Data science is the new oil rig.
In the information age, the rate of production of new data is incredible and the scope for data science is infinite, and the requirement for new Data science career opportunities is never-ending. After understanding that it easy safe to assume the data science jobs will be abundant and there is no better time than now to start learning data science from scratch.
What is Data Science?
Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains. Data science is related to data mining, machine learning, and big data. Learning Data science from scratch is not an easy process and it takes a long time and a lot of effort and help.
Where to start?
Contrary to popular belief coding is not the main function of data science it is pattern recognition, and the ability to deal with numbers. But there is no replacement for the ability to code it is an essential part of the job.
What coding language should you learn?
Learning Python for data analysis is a good starting point. Python is one of the starting languages but that does not mean it is not powerful. Learning Python for data analysis will not only provide you with a solid foundation but also expand your way of thinking in a structured manner giving you the edge over the other data scientist.
You might want to learn different coding languages based on what field of data science you are interested in for example you might want to learn SQL if you want to manage databases. If you are more interested in data analytics, modeling, and data visualization, you might want to consider learning Java, Python, or R.
Learn statistics and mathematics
No don’t get scared I am not asking you to be a mathematician or a statistician genius, Learning data science from scratch requires having an analytical mind and the ability to think in a structured manner, which is in part developed by Maths. You don’t have to do much, first of all, go through high school maths and stats again so you can touch base again.After doing basic maths and stats you can read these books
Learning Python for data analysis
This is where it gets interesting and complicated Now that you know the basics of python programming and the required statistics, You need a professional learning environment and a degree in data science, you can most definitely learn it on your own but without going through any quality check it will be difficult to land a job and a professional learning environment will help you accelerate you learning data science from scratch but also catapult your career.
Doing all the above-mentioned things before going for a professional course will help you excel in the program and have the best chance to get your career as a data scientist