How to become a Data Scientist – A complete career guide

Data is considered as oil in this modern age of technology.  Learning to merge science and data together can solve many complex problems. Read on to explore how to become a data scientist and be a real problem solver.

Data is everywhere but knowing how to use that data and finding out the most valuable outcome is something need to be learned.

TABLE OF CONTENTS

  1. What is a Data Scientist? / Data Scientist definition and meaning.
  2. What does a Data Scientist do?
  3. How to become a Data Scientist?
  • Fix your goal
  • Take a Data Science course
  • Learn all the skills required for Data Science
  • Best way to learn is to work on projects
  • Be a part of Data Science community
  • Constantly work on something more difficult
  • Never stop learning
  1. Data Scientist salary
  2. Data scientist jobs
  3. Data Scientist Job Description
  4. Data scientist vs Data analyst
  5. Data scientist qualifications or degree
  6. How to Learn Data Science Without a Degree
  7. Skill Requirements to Become a Data Scientist

1. What is a Data Scientist?

Data scientist are specialist in handing complex data problems and finding the knowledge of solution from the data by using mathematics, computer science, statistics, machine learning and deep learning skills.

2. What does a Data Scientist do?

In every business a huge amount of data is produced. This data is stored and used by data scientist to find the trends and patterns to bring growth in the business by using the resources in insightful manner.

3. How to become a Data Scientist?

Fix your goal

Before jumping in this booming career you must prepare your goal. Ask question to yourself, why do you want to become a data scientist?

It is vital to fix your goal with a time frame, so that you can actually track your progress. Prepare some milestone before you, like where will be after six months, than one year and soon. It will help you to understand your progress.

Take a Data Science course

In present time of modern technology, it is easy and possible to learn any skills from even your home. You can learn many things from YouTube or free courses.

If you are really serious about your goal of becoming a data scientist than go for a paid bestselling or highly positive rated course, you will get a mentor to help you in your problems. And more over the course will lead you through a systematic way. It will save your lot of precious time.

Learn all the skills required for Data Science

Make a list of skills that you are required to learn to become a data scientist and hand it on your wall. And start focusing one skill at a time. Once you learn and confident in that skill, than move to the next.

If you are following a course, then it will be easier. Just follow your instructor and complete all the tasks or assignments. There is no short cut way to learn the skills, you have to practice and learn.

Best way to learn is to work on projects

Find a project on start working on it; it is the most effective way to learn. Along with your learning you are also preparing your portfolio.

Once you complete the project, it will motivate you to go the next one. That’s how you move ahead and become and expert data scientist.

Be a part of Data Science community

Becoming a data scientist does not happen over night. It takes a long way to go. So travelling on a long journey always require companion to be motivated.

Find the people on your journey of becoming a data scientist or a professional data scientist. Find them in social media, blog, forum or anywhere else and communicate with them. Be part of the data scientist community like facebook pages or forums.

Constantly work on something more difficult

It is very important that you constantly move towards more difficulties. Never remain in the same comfortable area.

Travelling through every steps of difficulty will ultimately make you expert data scientist, which obviously is your goal.

Never stop learning

Technology is ever changing and moving towards advancement. It is crucial that you too move ahead with technology. So, always learn any currently introduced technologies.

Keep your eyes on the blog that talk about data science.

4. Data Scientist salary

Data Science is one of the high paying jobs at present. The demand of data scientist is in constant rise due to its valuable contribution in the organizations. Many sectors like  banking, finance, e-commerce, retail and many more are widely benefited by the data science, hence data science became a hot cake in job market.

Even though the salary of a data scientist is considered according to the skill level and experience level but overall we can say data science pays really well.

Data Scientist salary in USA

Data provider Average Salary
indeed.com
$121589 per year
glassdoor.com
$113,000 per year
zipRecruiter.com
$9,951 a month
PayScale.com
$95,973 per year
insights.dice.com
$108,000 per year

Data Scientist salary in India

Data provider Average Salary
indeed.co.in
₹ 7,25,023 per year
glassdoor.co.in
₹914,000 per year
upgrad.com
₹708,012 per year
PayScale.com
₹812,528 per year
linkedin.com
₹9,40,000 per year

5. Data Scientist jobs

There is real high demand and shortage of Data Scientist professionals in various sectors. According to Forbes, there were almost 2,720,000 job openings in the United States only.

There are huge job openings globally for Data Scientist. It is in top 10 on the list of job opening.

Data Scientist Jobs in USA

Job sites Job availability
dice.com
25944
glassdoor.co.in
19507
indeed.com
6229
simplyhired.com
5,951
linkedin.com
18,000+
amazon.jobs
146

Data Scientist Jobs in India

Job sites Job availability
naukri.com
49391
glassdoor.co.in
1131
indeed.co.in
2461
shine.com
28744
linkedin.com
4545

6. Data Scientist Job Description

The primary responsibility of a data scientist is data analysis, a process that begins with data collection and ends with business decisions made based on the final results of the scientist’s data analytics.

Data scientists analyze raw data (structured and unstructured) to obtain valuable insightful information and present their results to business leaders for making important decisions that affect business growth.

Data scientists must be a technical person and business savvy to use data for recommendations on trends and actions that can lead to business growth.

  • Handling raw structural and non structural data
  • Cleaning data and modelling them in attractive way
  • Extracting the valuable insights from the raw data
  • Going through comparison of data and finding the relationship
  • Deriving the most important and useful data for the profit of organization

7. Data scientist vs Data analyst

A data scientist is a professional who used the patter of past data and predict the future, but a data analyst only extracts the valuable insights from the raw data.

8. Data scientist qualifications or degree

If you are a student and thinking of becoming a data scientist: then you must focus on mathematics. Make math your best friend because math an integral part of data science.

  • Take math as your main subject.
  • Go for Bachelor degree in Math, physics or computer science or related field.
  • Earn a Master’s degree in data or related field.
  • Start learning programming with Python language or R .

9. How to Learn Data Science Without a Degree

Even though skills are the most important factors for becoming a data scientist, but still it is recommended to have at least a bachelor certificate in math or computer science.

If you are really serous for becoming a data scientist then learn all the skills required but along with it go for a degree for better result in the job market.

10. Skill Requirements to Become a Data Scientist

Data Scientist requires technical and non technical both skills for most effective performance.

There are basically 3 technical steps involved in data science:

  • Learn to pull data and pre-process them by using the tools like SQL and
  • Analyse data and match the pattern by using the tools like SAS, R and machine learning.
  • Visualization of data by using the tools like Tableau, JMP (SAS subsidiary) or

  Some non technical skills required are analytical skill, communication skill and problem solving skills.

 Note: Learning Python or R is very important. Learn the topics like Statistics, Algorithms, Calculus and Linear Algebra etc.

Conclusion

The goal of this article, how to become a Data Scientist, is to provide a comprehensive and complete guide on Data Science.

Let us quickly review the main take away from this article:

  • Data Scientists are well paid and it is one of the high paying jobs.
  • Becoming a data scientist requires good knowledge in math and programming.
  • Even though skills are the main matter but having a bachelor or master’s degree in math, computer science or related subjects make you more favourable in the job market.
  • Start learning statistics, algorithms, calculus and linear algebra.
  • Learn programming languages, begin with Python, and also learn R.
  • Go through a course and work on practical real projects.

If you have any question or suggestion, feel free to write in comment section below. I will try my best to answer you as soon as possible.

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