Hey I am a complete beginner, how should I approach towards learning data science?
Subarna BanerjeeBeginner
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Hey I am a complete beginner, how should I approach towards learning data science?
It will not be difficult for you to enter data science and begin your career as a data scientist if you have acquired the necessary skill set. For those who have mastered the art of data science, opportunities abound. And I don’t mean you need a Ph.D. or a master’s degree to get your first job as a data scientist.
I have already completed this course and after completing I was not sure if I need to study further or go for the job so to be well perpared I took 1 more course and now waiting and preparing for my job with this course.
According to the studies, a bachelor’s degree is required for approximately 61% of data science jobs. Another thing to keep in mind is that data science jobs are only expected to grow as more companies become interested in the power of data. According to the US Bureau of Labor Statistics, data science jobs will grow by 28% by 2026. So you can put aside your concerns about the number of available jobs for at least the next five years and focus on improving your skills.
I won’t say it is simple, but if you are eager to learn, it is pretty manageable. And you got off to a great start. The first step is to learn Python. Instead of describing the flow, I’d like to highlight the subjects you should be familiar with before you begin working in data science. These are what they are:
Basics of Python, Start exploring the libraries once you are familiar with Python, The best selection of data science-related libraries is available in Python, Use python packages like pandas and mtplotlib to learn about visualization, Learn about data science-related statistics subjects like fitting, regressions, distributions, and hypothesis testing, A developing and crucial component of data science is machine learning. Learn the fundamentals and a few key algorithms.
Because of the demanding nature of this field, Data Science is sometimes regarded as difficult. To become an expert in Data Science, one must first master: Mathematics, Statistics, Computer Programming, Visualization, Reporting, Business Understanding, Problem Solving, and Story Telling. Because it is an amalgamation of multiple disciplines, mastering this field necessitates diligent efforts from any individual who wishes to gain knowledge of all of these fields.
Aspiring Data Scientists like me should understand mathematics and statistics because many predictive algorithms use mathematical and statistical concepts, and these concepts must be thoroughly understood in order to troubleshoot a model. R and Python are the most commonly used implementation tools, and they require some coding knowledge. After the data has been analyzed, it is critical to comprehend its business implications and report it in simple, comprehensive terminology with visual aids.
Finally, one must explain the entire model development process so that others can scrutinise it and detect potential flaws or understand where the business conclusion is coming from. Because of this complexity, Data Science appears to be a difficult field of study.