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Table of contents
1.
Introduction
2.
A Brief About Data Science
3.
How is Data Science Impacting Business?
4.
How to Get a Job in Data Science in India
4.1.
Tips to Make a Resume for a Data Science Job
5.
How to Get a Job as a Data Scientist
6.
Applications of Data Science in India
6.1.
Why is data science so popular?
6.2.
Banking and finance
7.
Various Data Science Roles Offered in India
8.
Companies Hiring for Data Science Role in India
9.
Best Data Science Courses in India to Pursue a Career
9.1.
Online Courses
9.1.1.
Coursera
9.1.2.
Udacity
9.1.3.
edX
9.2.
Bootcamps
9.2.1.
UpGrad
9.2.2.
Jigsaw Academy
9.2.3.
Springboard
9.3.
University Programs
9.3.1.
IITs and IIMs
9.3.2.
BITS Pilani
9.3.3.
ISI Kolkata
10.
Is Data Science a Good Career in India?
11.
Future of Data Science in India
12.
Frequently Asked Questions
12.1.
What are the different types of data used in statistics?
12.2.
What is the fundamental difference between Supervised and Unsupervised Learning?
12.3.
What do you mean by overfitting in Data Science?
12.4.
What steps are involved in data mining?
13.
Conclusion
Last Updated: Apr 1, 2024
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Scope of Data Science in India(2024)

Author Lali Sharma
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Introduction

Hey! Do you know how the data we produce over the internet is maintained? Who handles the maintenance?

scope of data science in India

In this article, we will learn about the Data Science scope in India. We will see the applications of data science. We will learn about different data science roles offered in India. We will also learn about different companies hiring for data science positions. Let's dive into the article to learn more about the topic.

A Brief About Data Science

The maintenance of raw data and finding insights using mathematics, programming and analytics is known as data science. It is the process of extracting meaningful information from unprocessed data. It combines mathematics, statistics, Artificial Intelligence, and computer science. The objective is to make informed decisions and predictions by building models and algorithms. The results obtained through these techniques are highly accurate than the traditional methods. Data Science is a step-by-step method.

data science flow

These steps are 

  • Data Collection,
     
  • Data Cleaning
     
  • EDA (Exploratory data analysis),
     
  • Model Building, and 
     
  • Model Deployment
     

Now the question arises, "What do you mean by the term data scientist?"

Data Scientist are people that have studied  Data science. They analyze large data sets, create models to predict outcomes and design algorithms to solve real-world problems. Data Scientists are responsible for collecting, preparing and interpreting data, and presenting the results in a clear way. They play a crucial role in decision making by using data to support business strategies. They have different skills, such as

  • Data analysis
     
  • Problem-solving
     
  • Mathematical and Statistical capabilities
     
  • Database Management, and 
     
  • Analytical Abilities
     

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How is Data Science Impacting Business?

  • Data science enables businesses to make data-driven decisions.
  • It helps in understanding customer behavior and preferences.
  • Predictive analytics aids in forecasting trends and optimizing strategies.
  • Data-driven insights enhance operational efficiency and reduce costs.
  • Personalized marketing campaigns improve customer engagement and retention.

How to Get a Job in Data Science in India

To secure a job in data science in India, follow these steps:

  1. Acquire Relevant Education: Obtain a degree in fields such as computer science, statistics, or mathematics.
  2. Gain Hands-on Experience: Participate in internships, projects, or Kaggle competitions to build practical skills.
  3. Develop Technical Skills: Learn programming languages like Python, R, and SQL, along with data manipulation and visualization tools.
  4. Build a Strong Portfolio: Showcase your projects, research papers, or data science-related contributions on platforms like GitHub or LinkedIn.
  5. Network: Attend data science meetups, conferences, and online forums to connect with professionals in the field.
  6. Stay Updated: Keep abreast of the latest trends, tools, and techniques in data science through continuous learning.

Tips to Make a Resume for a Data Science Job

  • Highlight relevant skills and experience, including programming languages, statistical methods, and machine learning algorithms.
  • Showcase your data science projects, research, and publications.
  • Quantify your achievements and contributions, such as improving model accuracy or optimizing business processes.
  • Tailor your resume to the job description and emphasize your fit for the role.
  • Use clear and concise language, and ensure proper formatting for readability.

How to Get a Job as a Data Scientist

  • Acquire Education: Obtain a degree in a relevant field like computer science, statistics, or mathematics.
  • Gain Experience: Participate in internships, projects, or freelance work to build practical skills.
  • Develop Technical Skills: Learn programming languages like Python, R, and SQL, as well as data manipulation and visualization tools.
  • Build a Portfolio: Showcase your projects, research, and contributions on platforms like GitHub or Kaggle.
  • Network: Attend data science events, conferences, and online forums to connect with professionals and explore job opportunities.
  • Apply Strategically: Tailor your applications to match the job requirements and company culture, and follow up on your applications.
  • Continuously Learn: Stay updated on the latest trends, tools, and techniques in data science through online courses, books, and workshops.

Applications of Data Science in India

Data science has become a crucial part of the IT industry. Many different industries use data science for different applications. 

This raises the question, 

Why is data science so popular?

The reason behind the popularity of data science is its versatility. Following are the fields where data science plays a significant role.

Banking and finance

Data science plays an essential role in banking. It helps in making decisions based on data science. 

Data science helps in

  • Customer segmentation and marketing, 
     
  • Fraud detection,
     
  • Risk management, and
     
  • Underwriting and credit scoring. 
     

India is the second-largest country in terms of population. Over 59.28% of its population uses the internet for different purposes. Each user generates a massive amount of data. The maintenance of this data is only possible through data science. We use data science to solve any data-related problem, knowingly or unknowingly. Data science scope in India in different fields:

  1. Healthcare: In the healthcare sector, data science helps to improve medical data for example X-Rays, and MRIs. It ensures proper and efficient analysis of the data. 
     
  2. Decision-making and prediction: Data science helps in the detection of breast cancer. It uses machine learning from medical data such as X-rays and Ultrasonographic images. 
     
  3. Drugs Creation: Data Science helps to find better combinations and compositions of medicines. It increases a medicine's effectiveness.
     
  4. Agriculture: In India, about 60 percent of the land is used for cultivation and farming activities such as Horticulture. It uses science and technology to cultivate plants. Data science helps to improve the yield of crops by analyzing data-related problems. It also helps in predicting the best-suited weather conditions for a particular crop. Data science helps to study the soil and predict its quality. 
     
  5. E-commerce: Data science is why you receive "recommendations" on your apps. By using data science, customers can receive a personalized experience.
     
  6. Banking and Finance: Data science is essential in the banking sector. Data-driven decisions can be made with insights, patterns, and predictions.
     
  7. Transportation: Data science and spatial analysis help to find the pattern of traffic. Predicting weather conditions for flights is also possible. It suggests the shortest route to your destination using apps such as Google maps. 
     
  8. Government: Data science improves services and maintains population data. Data science helps in refining public services, education, and health care. 
     

If we talk about the business sector, the following are the places where data science is crucial.

  • Share market analysis, 
     
  • Sensex and Nifty growth prediction, 
     
  • Trading prediction, and
     
  • Stock market analysis.

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Various Data Science Roles Offered in India

India has come up as the global leader in technology and innovation. It has rapidly growing technological industries. Data Science is a new technology that has created many opportunities for engineers. The data science scope in India is increasing day by day.

Let us discuss the options available in India for engineers opting for data science as a career.

  1. Data Scientist: Data Scientist is someone who has studied data science. Data scientist is responsible for

    1. data processing, 
       
    2. problem-solving, 
       
    3. mathematics, and statistics, 
       
    4. database management, and 
       
    5. analysis of data.
       
  2. Data Engineer: Data Engineer handles the building and maintaining the data flow. Data Engineer is also responsible for designing the data science models and files.
     
  3. Machine Learning Engineer: ML Engineer handles the building and deployment of prediction models. 
     
  4. Business Intelligence Analyst: Business Intelligence Analyst handles the data visualization. A BI analyst is an expert in visualization tools. Some tools are Power BI, Tableau, and Python's matplotlib library. To learn more about Business Intelligence Analyst, check out CodingNinjas.
     
  5. Big Data Engineer: A Big Data Engineer works with vast amounts of data from different sources. They handle the data using distributed computing and parallel processing. Big data is hard to handle. Thus, it uses the Hadoop ecosystem to find insights from the data.  To learn more about the Hadoop ecosystem, check out CodingNinjas.
     
  6. Data Analyst: Data Analyst is the first person to deal with raw and unprocessed data. Data Analyst handles the application of data pre-processing techniques. These techniques include data cleaning, data transformation, etc.
     
  7. Artificial Intelligence Engineer: Someone working on developing and deploying AI-based products. The products may also include automatic real-time models and robots. To learn more about Artificial Intelligence, check out CodingNinjas.

India has a massive demand for Data Scientists and Engineers in different fields.

Companies Hiring for Data Science Role in India

India is well-known for its techno-friendly nature. Many national and international companies (MNCs) have offices in India. The offices have employees working in different roles and salaries. Most companies hire freshers as well as experienced candidates for data science roles.

Some of the companies hiring for Data science roles are:

  • Accenture: Accenture is a multinational company. It hires candidates for the data analytics role. It also provides job support for machine learning and AI engineers. The salary may vary depending on the experience, from 6 lakhs to 10 lakhs per annum.
     
  • Fractal Analytics: Fractal Analytics is an AI-based multinational company. It provides Artificial Intelligence and data analytics services. Fractal Analytics hires machine learning, data science, and data analytics engineers. The average salary varies from 10 lakhs to 17 lakhs.
     
  • Tata Consultancy Services: TCS is the global leader in technology and IT services. TCS does hire data scientists with an experience of over two years. TCS hires data analysts as fresher. TCS also has openings for machine learning engineers. The salary may vary from 7.8 lakhs to 24 lakhs per annum.
     
  • IBM: IBM hires for the role in many services. The services include business strategists, cloud, security, automation, and AI services. The average salary may vary from 5 lakhs to 9 lakhs. 
     
  • Amazon: Amazon does hire data scientists and engineers. The salary may vary from 90 lakhs to 1 crore.
     

Many other product and service-based companies hire for roles related to Data Science. Some of them are: 

  • Adobe,
     
  • BYJU'S,
     
  • Capgemini, 
     
  • Cisco,
     
  • Cognizant, 
     
  • Dell Technologies,
     
  • Flipkart,
     
  • HCL Technologies,
     
  • HP,
     
  • Lenskart, 
     
  • LinkedIn, and many others.
     

There are various national and international companies hiring for this role.

Best Data Science Courses in India to Pursue a Career

Online Courses

Coursera

  • Offers courses from top universities and institutions like Stanford and Johns Hopkins.
  • Specializations in data science, machine learning, and AI.

Udacity

  • Nanodegree programs covering data analysis, machine learning, and AI.
  • Industry-relevant projects and mentorship.

edX

  • Provides courses from universities like MIT and Harvard.
  • MicroMasters programs in data science and analytics.

Bootcamps

UpGrad

  • Data Science program in collaboration with IIIT Bangalore.
  • Hands-on projects and mentorship from industry experts.

Jigsaw Academy

  • Offers full-time and part-time courses in data science and analytics.
  • Placement assistance and industry-relevant curriculum.

Springboard

  • Data Science Career Track with personalized mentorship.
  • Job guarantee and career coaching.

University Programs

IITs and IIMs

  • Offer postgraduate programs in data science, analytics, and business analytics.
  • Renowned faculty and industry partnerships.

BITS Pilani

  • MS in Data Science program with a focus on practical applications.
  • Collaborations with industry partners for internships and placements.

ISI Kolkata

  • Offers M.Tech in Computer Science (Specialization in Data Science).
  • Research-oriented curriculum and renowned faculty.

Is Data Science a Good Career in India?

  • High Demand: With the increasing digitization and data-driven decision-making across industries, there is a growing demand for skilled data scientists in India.
  • Lucrative Salaries: Data science professionals command high salaries due to their specialized skills and ability to derive insights from large datasets.
  • Career Growth: Data science offers ample opportunities for career advancement, with roles ranging from data analyst to data scientist to chief data officer.
  • Diverse Applications: Data science finds applications in various domains such as finance, healthcare, e-commerce, and manufacturing, providing diverse career opportunities.
  • Continuous Learning: Data science is a dynamic field with constantly evolving technologies and methodologies, offering opportunities for continuous learning and skill development.

Future of Data Science in India

  • Industry Adoption: Indian companies across sectors are increasingly adopting data-driven strategies, leading to a surge in demand for data science professionals.
  • Government Initiatives: The Indian government's focus on initiatives like Digital India and Smart Cities is generating vast amounts of data, driving the need for data science expertise.
  • Emerging Technologies: Advancements in technologies like AI, machine learning, and big data analytics are further fueling the growth of data science in India.
  • Skill Development: There is a growing emphasis on skill development in data science through educational institutions, online platforms, and corporate training programs to meet the industry demand.
  • Entrepreneurship Opportunities: Data science startups are thriving in India, providing innovative solutions in areas such as healthcare, agriculture, and cybersecurity, offering ample entrepreneurship opportunities in the field.

Frequently Asked Questions

What are the different types of data used in statistics?

Statistics is an essential skill required for a Data Scientist. Ordinal, nominal, discrete, and continuous are the types of data used in statistics.

What is the fundamental difference between Supervised and Unsupervised Learning?

Supervised learning is the training of data under supervision. The data is labeled, and the accuracy is measured compared to the actual data.

Unsupervised learning is the training of unlabeled data not having any predefined output.

What do you mean by overfitting in Data Science?

Overfitting is a condition in data science. It arises when an algorithm performs well on training data but not testing data.

What steps are involved in data mining?

The data mining process includes cleaning, integration, selection, transformation, mining pattern evaluation, and representation.

Conclusion

This article contains all the information regarding the data science scope in India. This article will also provide a brief understanding of data science. It gives you information about the different roles and opportunities in the field of data science.

You can also consider our online coding courses such as the Data Science Course to give your career an edge over others.

Merry Learning!

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