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What Is a Data Scientist? Salary, Skills, and How to Become One?

Working as a data scientist can be intellectually challenging, analytically satisfying, and put you at the forefront of new advances in technology. Data scientists have become more common and in demand, as big data continues to be increasingly important to the way organizations make decisions. Here’s a closer look at what they are and do—and how to become one.

In simple terms, a data scientist's job is to analyze data for actionable insights. Specific tasks include: Identifying the data-analytics problems that offer the greatest opportunities to the organization. Determining the correct data sets and variables.

Data analyst vs data scientist: What’s the difference?

Data analyst and data scientist are two career paths in big data. And while they do have similarities, each requires different skills. The basic difference between the two is that a data scientist works to capture data while a data analyst tries to gain insights from that data.

Can data analyst become data scientist?

Maybe you're already working as a data analyst and want to know how you can progress into a data scientist role. The good news is that, although data analytics and data science denote two distinct career paths, data analysis skills serve as an excellent starting point for a career in data science.

Data scientist salary and job growth

Average starting Salary for Data Scientist in India is around ₹3.7 Lakhs per year (₹30.8k per month). 1 year of minimum experience is required to be a Data Scientist. What is the highest salary for a Data Scientist in India? Highest salary that a Data Scientist can earn is ₹26.0 Lakhs per year (₹2.2L per month).

How can one become Data Scientist ?

In a career as a data scientist, you'll create data-driven business solutions and analytics.

Step 1 : Earn a Bachelor's Degree.

The first step to becoming a data scientist is typically earning a bachelor's degree in data science or a related field, but there are other ways to learn data science skills, such as a bootcamp. You may also consider pursuing a specialization or certification or earning a master's degree in data science before getting your first entry-level data scientist job.

Employers generally like to see some academic credentials to ensure you have the know-how to tackle a data science job, though it’s not always required.

Step 2: Learn Relevant Programming Languages.

Python is one of the interpreted programming, object-oriented, and high-level programming languages used in data science. The code is easy to learn and write and has better readability.

If you're passionate about the statistical calculation and data visualization portions of data analysis, R could be a good fit for you. If, on the other hand, you're interested in becoming a data scientist and working with big data, artificial intelligence, and deep learning algorithms, Python would be the better fit.

Step 3: Learn Related Skills.

Traditionally, data science roles do require coding skills, and most experienced data scientists working today still code. However, the data science landscape continues to change, and technologies now exist that allow people to complete entire data projects without typing code.

Some of the most important technical data scientist skills are:

  • Statistical analysis and computing.

  • Machine Learning.

  • Deep Learning.

  • Processing large data sets.

  • Data Visualization.

  • Data Wrangling.

  • Mathematics.

  • Programming.

Step 4: Earn Certifications.

As is demonstrated by the stories of certified learners, becoming a certified data scientist gives you: An advantage over other candidates. Proof of your data science skills, whether you're transitioning from another profession or completely new to data science.

Some of the best data science to earn certificatification are

  1. IBM Data Science Professional Certificate.

  2. Google Cloud's From Data to Insights with Google Cloud Specialization.

  3. Google's Data Analytics Professional Certificate.

  4. IBM's Introduction to Data Science Specialization.

Step 5: Internships.

Doing online projects and courses is a great option for learning Data Science but an internship is extremely important. It provides you with real industry experience and the chance to work with experienced professionals in Data Science.

Here are some of the best Data Scientist Career with these internships.

  • Meta University for Analytics (A Data Science Internship).

  • HP, Machine Learning Internship.

  • Netflix Partner Operations Internship.

  • Slack Data Science Internship.

  • Miami Heat Data Science Internship.

  • Linkedin Artificial Intelligence, Machine Learning Internship.

Step 6: Data Science Entry-Level Jobs.

It's helpful to have some background in programming or statistics, but there are plenty of jobs for entry-level data scientists who have just graduated from college and have yet to gain experience.

you typically need at least a bachelor's degree in a relevant subject, such as information technology, mathematics, computer science, or physics. Some universities also offer specialized degrees in data science.

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