Is it easy to switch to data science?

As a data science aspirant, you couldn’t have picked a better time to change your career! Let me first put your doubts to rest – it is entirely possible to transition into data science from your current line of work (or study). And that’s what we’ll talk about in this article!

Why do you want to move into the field of data science?

The top five reasons to become a data scientist are: the variety of skills you will learn along the way, uniqueness in your company, impact on your company, remote — work from home, and pay. Data science may not go away for a while and could very well become even more of a popular career.

What inspires you about Data Science?

Keep the work on. Keep learning new things, keep pushing yourself and just ensure that you’re working and reading or working on as many projects as possible and reading as much as possible. So that is my inspiration for getting started in Data Science and how I got inspired to become a Data Scientist.

Why should you study Data Science?

Data scientists know how to use their skills in math, statistics, programming, and other related subjects to organize large data sets. Then, they apply their knowledge to uncover solutions hidden in the data to take on business challenges and goals.

What is data science technology?

Data science combines multiple fields, including statistics, scientific methods, artificial intelligence (AI), and data analysis, to extract value from data. Data science encompasses preparing data for analysis, including cleansing, aggregating, and manipulating the data to perform advanced data analysis.

How do I transition my career to data science?

If you are looking to transition your career to data science, the most common advice you may have heard is to learn Python or R, or to learn machine learning by pursuing courses like Andrew Ng’s ML course on Coursera, or to start learning big data technologies like Spark and Hadoop. I call this a technology-focused route to a data science career.

What is the easiest way to get started in data science?

If you are coming from a non-technical background the easiest way to get started in data science is to take a domain knowledge focused approach. If you look at Drew Conway’s Venn Diagram, you will notice that a data scientist doesn’t just possess technical skills. They also have domain expertise. So, why not leverage it?

How long does it take to become a data scientist?

Never believe in claims which promises to make you a data scientist in less than 3/6/12 months. Every career has its own path of learning curve and data science is no exception to it. This article was aimed mostly for the people who want to enter into data sciences / analytics with considerable work experience.

How did you transition from being a mainframe programmer to data scientist?

I had two stages of transition from being a mainframe programmer to getting into data sciences – First one was undergoing a one year programme and the other being the challenges that I face during the day to day work.