The way we work, live and learn is changing just as quickly as the world around us. The continuous change in the business strategies and dynamics has kept us on our toes and in order to flourish in this era of technological advancement we must keep a keen eye on the trends and developments for the near future.
Over the years, Python has become the most popular & widely adopted programing language for data science applications. Its user-friendly nature and lightweight implementation make it a great choice for data scientists. It can be easily used for data analysis where we need to integrate the results into web apps or to add mathematical models or codes for production.
For a decade, Data Science has now been a hot topic, but most of its concept was present theoretically. The practical application of Data Science became only possible after the existence of large data sets to work upon, effective machine learning algorithms, and systems to operate these algorithms.
After a challenging 2017, India’s IT job market seems to be getting back on its own feet. With campus recruitments, better job offers, salary levels, and diversity of recruiters, the job market in India signals green shoots.
We do save data to manage or process it in future but the use of cloud computing is continuously evolving and is not a mere platform anymore.
You are a data scientist and you have every required skill to analyze a value out of data. You have knowledge of Machine learning, Data munging, Data visualization & communication, and basic tools and statistics, but you don’t know what type of industries or markets you want to look out for or what type job role will suit you, then you are probably at the right place. In this post, we will be discussing various types of industries where the application of data science is highly blooming.
Data Science, an amazing combination of advanced statistical, mathematics expertise, problem-solving, data inference, algorithm development, business acumen, and real-world programming ability is all about capturing data in ingenious ways. Whereas Machine learning is a crucial part of data science. It is a set of algorithms that train on a data set to make predictions or take actions in order to segregate it.