Writing my first Article on Data Science
How I have shifted my career towards Data Science?
Each year, millions of people make an internal shift, reaching a point where they are ready to explore a new career. For some, this transition means leaving the workforce to go back to school so they can develop a new skill-set. Others make the transition back into the workforce after graduating from college, serving in the military, or taking care of children. No matter what the impetus for a career transition, the path is filled with new challenges. This guide is designed to ease the stress of transitioning out of or into the workforce.
I was a Maintenance Engineer working in a 5-star luxury hotel in Saudi Arabia. I came to know about Data Science by reading tons of articles in magazines, blogs, etc. Data science has been called “the sexiest job of the 21st century” — a sentiment I’d believe and I saw more business leaders hiring data scientists into environments where we can be effective.
I left my current job and I have started learning Data Science through Udemy, Coursera online platform, and iNeuron.ai.
I did practice different types of Machine Learning algorithms, Statistics models, and how to solve analytical problems in python.
a. Advantages of Data Science
1. It’s in Demand
Data Science is greatly in demand. Prospective job seekers have numerous opportunities. It is the fastest-growing job on Linkedin and is predicted to create 11.5 million jobs by 2026. This makes Data Science a highly employable job sector.
2. Abundance of Positions
There are very few people who have the required skill-set to become a complete Data Scientist. This makes Data Science less saturated as compared with other IT sectors. Therefore, Data Science is a vastly abundant field and has a lot of opportunities. The field of Data Science is high in demand but low in supply of Data Scientists.
3. A Highly Paid Career
Data Science is one of the most highly paid jobs. According to Glassdoor, Data scientists make an average of $116,100 per year. This makes Data Science a highly lucrative career option.
4. Data Science is Versatile
There are numerous applications of Data Science. It is widely used in health-care, banking, consultancy services, and e-commerce industries. Data Science is a very versatile field. Therefore, you will have the opportunity to work in various fields.
5. Data Science Makes Data Better
Companies require skilled Data Scientists to process and analyze their data. They not only analyze the data but also improve its quality. Therefore, Data Science deals with enriching data and making it better for their company.
I am totally involved in Data Science and AI. I will tell more about Data Science, Machine Learning, and AI in my next blog. I hope you will like my first blog.