How to Become a Data Scientist after 12th?

A Data Scientist can be described as a tech professional who collects, interprets, and analyzes huge amounts of data by using analytical, programming, and statistical skills. They are also supposed to mine valuable information from different sources and change it into actionable insights that can drive the growth of a business. In this article, we will guide you on how to become a Data Scientist after 12th.

Understanding Data Science as a Career

• Definition and scope of Data Science in the modern world: Data Science can be described as an interdisciplinary domain that employs algorithms, processes, and procedures for examining huge amounts of data. The main aim here is to uncover patterns hidden in the data, create insights, and lead decision-making. If you want to know how to become a Data Scientist these are important factors that you must know.
• Importance of data-driven decision-making in various industries: Using data to make decisions provides you with greater control. This means that you have more of a say in the direction that your business is heading to as well as the quality of the decisions you are taking in that regard. Here you are deciding based on concrete evidence and objective data, which means that you can measure the results effectively and assess the impact of those decisions.
• Growing demand for Data Scientists in India and globally: It is expected that by 2027 the global market for Data Science will be worth $103 billion. This growth is also a major reason why the market for such education in India will be $1.39 billion by 2028. All the top IT (Information Technology) companies in India are investing significant resources to create the latest analytical skills and this is where it can be expected that there would be immense demand for professionals trained in such work.

How to become a Data Scientist after 12th

Educational Pathway to Becoming a Data Scientist

• Basic educational qualifications required after 12th for aspiring Data Scientists: Do you want to know how to become a Data Scientist after 12th? In that case, you should know that the following quantitative disciplines are the best options to graduate in after Class 12 to stand the best chance of fulfilling that goal:

1. Mathematics
2. Statistics
3. Computer Science
4. Data Science
5. Engineering
6. Economics

• Importance of Mathematics, Statistics, and Computer Science in Data Science: If you wish to work in the domain of Data Science you must focus on quantitative subjects such as Mathematics, Computer Science, and Statistics because they will provide you with the solid foundation that you need to succeed in such a career.

Steps to Become a Data Scientist

• Overview of the pathway to becoming a Data Scientist after 12th: Are you searching for the answer to this question – how do I become a Data Scientist? In that case, following are the steps that you should ideally follow:

1. earning a Bachelor’s degree in relevant domains
2. gaining knowledge of Statistics and Machine Learning
3. completing advanced education – optional but important
4. building a portfolio of projects
5. gaining practical experience by way of entry-level positions and/or internships
6. continuous skill development and learning
7. networking and building professional relationships
8. applying for Data Science positions

Key Skills Required for Data Scientists

• Essential technical and analytical skills: Following are the Data Analysis and Programming skills that you need to acquire to become a worthwhile Data Scientist:

1. Programming Languages – Python, SQL (Structured Query Language), R, and Java
2. Data Analysis, Manipulation, and Visualization techniques
3. Data Science libraries and tools like Pandas, TensorFlow, NumPy, matplotlib, and Scikit-learn
4. Along with them, you must also know the following aspects of Statistics and Machine Learning (ML):
5. ML techniques and algorithms
6. Predictive Modelling and Data Analysis methodologies
7. statistical methods of Data Analysis, Experimental Design, and Hypothesis Testing

You must possess the following analytical skills to make it big as a Data Scientist:

1. Statistical Analysis
2. Data Visualization
3. ML
4. Data Wrangling
5. Programming
6. Predictive Modeling
7. Quantitative Reasoning

• Soft skills: It is wrong to assume that Data Science is limited only to statistical, technical, and mathematical work. It is just as pointless as when you wonder how to become a Data Scientist with no experience. You also need soft skills such as vision, creativity, and imagination to succeed in this profession.

Building a Strong Foundation with Bachelor's Degree Programs

• Overview of Bachelor's degree programs relevant to Data Science: Bachelor’s degree programs in Data Science help you unlock your potential in this domain in a supportive and dynamic academic environment. They can be transformative educational journeys you are looking for in this regard. In these courses, you get the education that gets you ready for success as a Data Scientist.
• Recommended courses: The best courses that you can choose in this case are BCA (Bachelor of Computer Applications) with Specialization in Data Analytics, BSc (Bachelor of Science) (Honors with Research) in Data Science, and BSc (Honors) – Data Science.
• Importance of practical projects and internships during undergraduate studies: You can also take part in internship opportunities and practical projects at this stage of your Data Science education as they will help you apply what you have learned in the classroom in a real-world setting.

Master's Degree Programs in Data Science

• Overview of Master's degree programs: The Master’s degree programs in Data Science such as MSc in Data Science and M.Tech in Artificial Intelligence (AI) provide you with comprehensive knowledge, networking opportunities, and the scope of research in the domain of Data Science.
• Specializations available: The Master's degree programs in Data Science provide you with the chance to specialize in the following domains:

1. Business Analytics
2. ML
3. Statistics
4. Information Engineering
5. Data Science
6. Data Analysis
7. AI
8. Data Visualization
9. Big Data

• Importance of research and thesis in Master's programs: In the domain of Data Science thesis and research work as independent projects that substantiate your professional and academic credentials. They also help you show your presentation and research skills to the powers that be.

Data Science Certifications and Short Courses

• Overview of certifications: Data Science certification programs, online courses, and boot camps provide students with critical skills like Python, Data Analysis, SQL, and Data Visualization. These programs also help you learn how to create models for ML.
• Benefits of short-term courses: Apart from helping you acquire specific skills in the domain such as SQL and Data Visualization, these short-term courses also help you attend meetups and participate in online forums and communities where you can connect with fellow experts and Data Scientists.
• Importance of continuous learning and staying updated with industry trends: The likes of online courses, conferences, workshops, and professional certifications help you keep abreast with the latest developments, tools, and techniques of the world of Data Science.

Gaining Practical Experience: Internships and Projects

• Importance of internships in gaining practical experience: Once you have completed your Data Science education you need to look for internships in entry-level positions like Data Analyst, Research Assistant, and Business Analyst. Such opportunities let you garner practical experience in working with real data, collaborating with multidisciplinary teams, and solving problems.
• Overview of reputed companies offering internships to Data Science aspirants: Following are the leading companies offering internship opportunities to Data Science aspirants in India:

1. Infocepts India
2. Xcaliber Infotech
3. Blackcoffer
4. Intuit India
5. AI Lab Solutions
6. Manthan
7. Business Quant
8. LatentView
9. Tiger Analytics
10. MuSigma

Apart from these, you can also showcase your work on platforms such as GitHub as a way of showing your skills to companies that might employ you later on.

Job Opportunities in Data Science

• Overview of career prospects for data scientists in India and abroad: The Data Science landscape in India provides you with sufficient room to advance your career and there are several success stories of such professionals who have climbed the corporate ladder. Outside India, these professionals receive great salaries that help them cope with the higher costs of living in those countries.
• Job roles and salaries: The following are the leading job roles for Data Scientists in India and the average annual salary for them:

1. Data Architect – Rs 14.4 lakhs to Rs 50 lakhs
2. Machine Learning Engineer – Rs 10.1 lakhs
3. Business Intelligence Analyst – Rs 8 lakhs
4. Database Administrator – Rs 4.8 lakhs to Rs 24 lakhs
5. Data Analyst – Rs 4 lakhs to Rs 9 lakhs
6. Data Scientist – Rs 3.8 lakhs to Rs 15.9 lakhs
7. Data Engineer – Rs 3.5 lakhs to Rs 20.9 lakhs
8. Business Intelligence Developer – Rs 3 lakhs to Rs 16 lakhs
9. Statistician – Rs 2 lakhs to Rs 17.2 lakhs

• Growth prospects: There is high demand for skilled Data Scientists and it is expected to get much better in the years to come. The Bureau of Labor Statistics estimates that between 2019 and 2029 employment of such professionals will increase by 11% which is much quicker than the average growth rate of all other professions.

Conclusion

So, if you are serious about becoming a Data Scientist you should follow all the steps that we have enumerated over here. However, before you pursue this domain you must know how long does it take to become a data scientist so that you do not get frustrated during the journey. You must also visit the top online universities in this regard such as Amity Online so that you can get more information on these courses and get guidance regarding your career in this domain.