How to Become a Data Scientist?
Explore the secrets to becoming a data scientist in India after 12th grade. Explore the steps, qualifications, and career paths in the data science field
In this Career Outline
Introduction to Data Scientist
“The future is already here — it’s just not evenly distributed” — William Gibson
Data scientists are in charge of extracting information from large volumes of numerical and categorical data to form or satisfy particular business requirements and objectives. As companies focus further on big data analysis to support judgment and focus on optimization and machine learning as key elements of their IT approaches, the data scientist position is already becoming highly prevalent. The primary goal of a data scientist is to manage and interpret vast volumes of data, which is mostly done with tools programmed especially for the job. The final findings of a data scientist's study must be simple enough for all participants to comprehend, particularly those who are outside IT.
Steps to Become a Data Scientist:
Step-1
Start with a bachelor’s degree in a relevant field such as computer science, mathematics, or statistics.
Step-2
Learn key programming languages like Python and R, and gain proficiency in data analysis tools and techniques.
Step-3
Work on real-world projects, internships, or part-time roles to apply your skills and build a portfolio.
Step-4
Consider obtaining a master’s degree or certification in data science or a related field to deepen your knowledge and expertise.
Step-5
Create a collection of projects that showcase your ability to analyze data, build models, and generate insights.
Step-6
Follow the latest advancements in data science and continuously update your skills to keep pace with technological developments.
Step-7
Connect with other data scientists through professional organizations, conferences, and online forums to share knowledge and opportunities.
Eligibility Criteria
| Eligibility Criteria | Description |
|---|---|
| Eligibility | Must possess at least 50% aggregate from a recognized institution (PUC/CBSE/ICSE/ISC, etc.) |
| Educational Background | Obtain a degree, diploma, or certification from a recognized institution relevant to data science. |
| Undergraduate Degree | Hold a bachelor's degree in a relevant field such as Computer Science, Social Sciences, Physical Sciences, or Statistics. Hands-on experience or specialized courses in data science are beneficial. |
| Postgraduate Degree | An M.Tech or M.Sc in Data Science can provide advanced knowledge and enhance career prospects. |
| Entrance Exams | Certain institutions may require standardized tests like GRE or GMAT as part of the application process. |
- A minimum of 50% aggregate in 12th grade from any recognized board (PUC, CBSE, ICSE, ISC) is required, though cut-off marks vary by college.
- A degree, diploma, or certification from a recognized institution is necessary to become a Data Scientist.
- A Bachelor’s degree in Computer Science, Social Sciences, Physical Sciences, or Statistics is suitable, but hands-on experience or a specialized course in Data Science is also needed.
- An M.Tech or M.Sc in Data Science can further enhance your qualifications for advanced roles.
- Certain institutions may require standardized Entrance exams after 12th like GRE or GMAT as part of the application process.
Not eligible to pursue this career?
Find out different career options based on your current academic accomplishments. Enquire with our career experts and build a roadmap to your career success!
Tasks to perform as a Data Scientist:
Knowledge & Skills Required
Data Scientists must possess a wide array of skills to succeed in their careers. Here are the key knowledge areas and skills needed to excel in this field:
| Knowledge Required | |
|---|---|
| Understanding of statistical methods and concepts. | Proficiency in Python, R, or similar languages. |
| Knowledge of algorithms like regression, classification, clustering, etc. | Ability to create visual representations of data using tools like Matplotlib or Tableau. |
| Demonstrate proficiency in database management systems, including both relational (SQL) and non-relational (NoSQL) technologies. | Familiarity with tools like Hadoop, Spark for handling large datasets. |
| Skills Required | |
|---|---|
| Analytical Thinking | Data Visualization |
| Programming Skills | Business Understanding |
| Data Cleaning | Communication Skills |
Understanding What are soft skills? and why is it important,as they complement technical abilities and enhance overall performance in the field of Data Scientist.
The Knowlegde and Skills don't intrigue you?
The reason is that your interests don't align with this career. Identify your interests and match them with careers that require those skills. This alignment will help you grow and succeed in your career faster than you might expect!
Job roles offered for a Data Scientist:
After gaining the necessary qualifications, you have numerous opportunities as a Data Scientist, with various projects to work on and potential to explore different fields.
Manages and protects data such as financial records and shipment documents, ensuring accessibility and security. Works across various industries, including IT, insurance, and healthcare, and collaborates with teams to align data with business needs.
Identifies patterns in large datasets and creates algorithms to improve data reliability and accessibility. Requires expertise in SQL, scripting languages, and communication with business units to meet goals.
Designs and manages business intelligence frameworks, including query software and data modeling. Requires knowledge in information engineering and database systems, and experience in application development and business analytics.
Apply advanced mathematical methods to extract insights from data, supporting informed decision-making in business and scientific contexts. They work in various sectors, including business, technology, health, and government, focusing on trends and patterns to inform decisions.
Uses data to aid in making strategic business decisions by analyzing patterns, creating narratives, and applying mathematical and machine learning techniques to solve problems and provide recommendations.
Not sure where you fit in?
With the wide variety of careers and job roles available, pinpointing the best option for you can be challenging. Thorough analysis and dedicated sessions can provide clarity on what to study, which industry and role to pursue, and the most suitable career path to follow.
Career Opportunities for a Data Scientist:
Data Scientists can opt for various fields of work in the companies listed below:
| Apple | Fidelity Investments | |
| Intel | Microsoft | |
| Paypal | Amazon |
Colleges offering courses for Data Scientist:
Here is the list of colleges offering the Best courses after 12th:
| Vivekananda Global University (VGU), Jaipur | Jawaharlal Nehru University, New Delhi |
| Chandigarh University (CU) , Chandigarh | Vellore Institute Of Technology (VIT), Vellore |
| K. R. Mangalam University (KRMU Gurgaon), Gurgaon | Teerthanker Mahaveer University (TMU), Moradabad |
| Amity University Manesar (AU), Gurgaon | King's Cornerstone International College (KCIC), Chennai |
| International Institute Of Information Technology (IIIT BANGALORE), Bangalore |
End Note
Starting on a career as a data scientist is an exciting journey filled with opportunities to make impactful decisions through data. If you’re ready to dive into this dynamic field, SetMyCareer is here to guide you every step of the way. For those seeking Career counselling after graduation, connect with our experts to explore how to make your data science aspirations a reality!
In this Career Outline
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