As a journalist for The New York Times, I recently came across some exciting statistics about the data science and machine learning industry. With over 2,50,000 job opportunities in India alone, according to LinkedIn, this field is rapidly growing and shows no signs of slowing down.
But what exactly is data science, and why is it such a hot career choice? Essentially, data science is the process of extracting valuable insights from large sets of data. Data scientists use a combination of statistical analysis, machine learning, and programming skills to analyze data and make informed decisions.
One of the reasons data science is so popular is the potential for high earning potential. According to Indeed, the average salary for a data scientist in India is 8 lakh rupees per year, but with experience, that number can skyrocket to 40 lakh rupees per year. And if that's not enough, the U.S. Bureau of Labor Statistics predicts that there will be 1.15 crore data scientist jobs created by 2026.
But what does it take to become a data scientist? While a background in a technical field like computer science or engineering can be helpful, it's not strictly necessary. In fact, both college students and working professionals from non-technical backgrounds are increasingly choosing to become data scientists.
If you're interested in learning more about data science and machine learning, consider joining the free demo session for the data science and machine learning internship program by Edureka. During the session, you can ask questions and get a better understanding of what data science is all about, as well as how to get started in this exciting and lucrative field.
With such a huge number of opportunities, great salary potential, and amazing career growth, it's no wonder that data science is quickly becoming one of the most in-demand careers in the world. So why not join the ranks of data scientists and analysts, who are set to become the number one emerging role in the world, according to the World Economic Forum? The future of data science is bright, and there's no better time to get started than now.