Introduction to How to Become a Data Scientist After 12th

Data science is one of the most expeditiously increasing professions in the twenty-first century. Big Data provides answers to critical concerns in every industry, from businesses to non-profits to government agencies. There is an endless quantity of data that can be sorted, evaluated, and used. It is one of the best field to pursue a career today.

How can a company go through purchase data to develop a marketing strategy? How can government agencies leverage behavioral patterns to generate fun community activities? How can a non-profit make the most of its marketing money to improve its operations? It all comes down to data scientists’ efforts.

Data scientists are conditioned to collect, organize, and analyze data for people from many walks of life and industries.

Data scientists have a diverse educational background, with the majority having technical education. A wide range of computer-related majors and math and statistics are included in data science degrees. Training in a business or human behavior is also prevalent, which helps data scientists reach more accurate findings.

Because there is an almost unlimited amount of data, data scientists have an almost infinite number of applications. Take a deeper look at the entire career. Investigate what they do, who they serve, and what talents they require to complete the task. Continue reading to learn how to become a data scientist after 12th and get started on this lucrative career path because it is obvious that Data Science is a leading career option.

What is Data Science?

While exploring How to Become a Data Scientist After 12th, you might doubt what is data science? Data is gathered from a variety of sources, such as cell phones, social media, e-commerce sites, healthcare surveys, and internet searches. The rise in data availability ushered in a new field of research known as big data—massive data sets that aid in developing improved operational tools across all industries. 

Advances in technology and data collection techniques have enabled ever-increasing access to data. Individual purchasing patterns and behavior can be tracked, and predictions can be formed based on the data. However, the growing amount of unstructured data necessitates processing to make informed decisions. Data science has emerged because this process is complex and time-consuming for businesses.

History of Data Science

Since the early 1960s, “data science” has been used interchangeably with “computer science.” Later, the phrase was modified to denote a survey of data processing techniques used in various applications.

William S. Cleveland coined the phrase “data science” to describe a separate discipline in 2001. In 2012, the Harvard Business Review dubbed the post of data scientist as the “sexiest job of the twenty-first century.” While exploring How to Become a Data Scientist After 12th, you might doubt the history of Data Science; we hope it’s clear now.

How Is Data Science Employed?

Data science combines methods from other disciplines to collect, process, and gain insights from large amounts of data, extract valuable data from the set, and interpret it for decision-making. Mining, statistics, machine learning, analytics, and programming are some of the disciplinary areas that make up the data science field.

Data mining involves applying algorithms to an extensive data set to uncover patterns that can be utilized to extract usable and relevant information. Statistical measurements or predictive analytics employ this extracted data to predict future events based on past events.

Machine learning is an artificial intelligence technique that can handle massive amounts of data in a fraction of a human’s time. Machine learning improves the predictive analytics decision model by comparing the likelihood of an event occurring to what occurred in the projected period. While digging How to Become a Data Scientist After 12th, you might question How Is Data Science Employed?

Data Science Current Scenario

While digging How to Become a Data Scientist After 12th, you might question the Data Science Current Scenario. Businesses are incorporating big data and data science into everyday processes to provide value to consumers. Banking institutions are using big data to improve their fraud detection capabilities. Asset management organizations use big data to forecast the chance of a security’s price moving up or down at a specific period.

Netflix, for example, uses big data to choose which things to offer its customers. Netflix also employs algorithms to provide customers with customized recommendations based on their viewing habits. Data science is rapidly expanding, and its uses will continue to impact people’s lives in the future.

Who is a Data Scientist?

While exploring How to Become a Data Scientist After 12th, you might question Who is a Data Scientist? The data scientist gathers and processes structured data from the machine learning stage utilizing analytics algorithms. The analyst transforms, summarizes, and interprets the data into a comprehensible language for the decision-making team. Data science is used in almost every situation, and the field will extend to include data architecture, data engineering, and data administration as the data scientist’s position evolves.

Data scientists are a new breed of analytical data experts with the technical ability to solve complicated problems and the curiosity to learn more about the issues that need to be addressed. They’re a mix of mathematicians, computer scientists, and trend spotters. They’re in high demand and well-paid because they work in both the business and IT worlds.

They’re also a reflection of the current era. Data scientists weren’t on many people’s radars a decade ago, but their rise underscores how corporations are approaching big data. That unmanageable jumble of unstructured data can no longer be overlooked. It’s a virtual gold mine for boosting revenue – as long as someone digs in and unearths business insights that no one else has considered. The data scientist has arrived.

Terms & Technologies used by Data Scientists

While exploring How to Become a Data Scientist After 12th, you might question Terms and Technologies used by Data Scientists. Data scientists frequently use the following terminology and technologies:

• Data visualization: The presenting of data in a visual or graphical style to be easily studied is known as data visualization.
• Machine learning: A branch of artificial intelligence based on mathematical algorithms and automation is machine learning.
• Deep learning: It is a branch of machine learning that models complex abstractions using data.
• Pattern recognition: Pattern recognition is a technique for detecting patterns in data (often used interchangeably with machine learning).
• Data preparation: The process of translating raw data into another format to be consumed more readily.
• Text analytics: Analyzing unstructured data to extract critical business insights is text analytics.

Data Scienc
e Applications

In Search Engine Results

Search Engines are the most useful application of Data Science. When we want to find something on the internet, we typically use search engines like Google, Yahoo, and others. As a result, Data Science is employed to speed up searches. While searching How to Become a Data Scientist After 12th, you must know one of the applications of Data Science, that is in search engine results.

Transportation Sector

Data Science has also infiltrated the transportation sector, such as driverless cars. It is simple to lower the number of accidents using driverless vehicles.

The training data is input into the algorithm in Driverless Cars, and the information is analyzed using Data Science approaches, such as what is the speed limit on the highway, busy streets, narrow roads, how to handle different scenarios while driving, and so on. While searching How to Become a Data Scientist After 12th, you must know one of the applications of Data Science, that is in the transportation sector.

Financial Sector

In the financial industry, data science is crucial. Fraud and loss risks are always present in the financial sector. As a result, Financial Industries must automate risk of loss analysis to make strategic decisions. Financial Industries also employ Data Science Analytics technologies to forecast the future. It enables businesses to predict client lifetime value and stock market movements.

Data Science is the most critical aspect of the stock market. Data Science is utilized in the stock market to evaluate past behavior using historical data to predict future outcomes. Data is assessed so that future stock values can be predicted over a defined timeframe. While searching How to Become a Data Scientist After 12th, you must know one of the applications of Data Science, that is in the financial sector.

Why Become a Data Scientist after 12th?

Have a Significant Impact on the Organization and the Environment

While exploring How to Become a Data Scientist After 12th, you might question the Impact on the Organization and the Environment by the data scientist. One of the most thrilling reasons to pursue data science as a career, at least on a global scale, is the impact you may have as a leader in the subject, both within your firm and on the world at large.

Within your firm, you can work toward automating previously laborious procedures, saving the company time and potentially thousands or even millions of dollars in the process, allowing them to reallocate those resources elsewhere.

The opportunity to make an impact through data science is even more fantastic globally. People who haven’t had much experience with the work may mistake it for a glorified number cruncher. While there will be some of that in the usual day-to-day, data science outcomes have far more potential utility. As a data scientist, your impact on the world is mainly determined by your interests and the field in which you want to build a name for yourself.

As a data scientist, you could be helping to save lives by developing more accurate climate models and weather prediction technology or working on cutting-edge public transit initiatives that reduce CO2 emissions.

Rising Demand

For much of the last decade, data science has been recognized as one of the most in-demand industries, and this trend is showing no signs of slowing down in 2021. Indeed, the US Bureau of Labor Statistics predicts a 27.9% increase in data science jobs from 2016 to 2026. In 2018, LinkedIn estimated a nationwide shortage of over 151,000 data scientists, notably in the New York City, San Francisco, and LA metro areas.

So, what data science makes it such a popular career choice? Consider the world’s most potent and essential corporations. You probably thought of industry giants like Amazon, Google, and Apple, relying heavily on data-driven decision-making.

Amazon’s sales and marketing algorithms are powered by data analytics, which proposes products to customers based on previous purchases and behaviors. Facebook collects data to serve you adequately tailored adverts and connect people and groups. All of those judgments and more are influenced by the data we collect, and data scientists are in charge of controlling those decisions. While exploring How to Become a Data Scientist After 12th, you might question whether the data scientists are in demand, we hope it’s clear now.

Base Salaries That Are Unbeatable Plus Benefits!

While exploring How to Become a Data Scientist After 12th, you might question the salaries of a data scientist. When you’re working in a new and high-demand sector like data science with a scarcity of skilled individuals, you will need a very competitive compensation and growth window. Data science is no different.

As of April 2021, the average base compensation for a data scientist was $114,673 per year, according to Glassdoor. This is greater than the average base incomes for similar positions like software engineer ($103,349), computer scientist ($102,690), and data analyst ($66,842), and one of the highest average base salaries in any industry.

In terms of rewards, data science is one of the most profitable occupations that allows you to work entirely from home. Working from home has always been advantageous, but it became a necessity for many when the COVID-19 Pandemic of 2020-2021 forced the modern workforce to reconsider how we conduct our professional lives.

A field that is always Evolving

In the process of searching How to Become a Data Scientist After 12th, you might have a query that if this field is evolving. According to The Economist, data has surpassed oil as the world’s most valuable resource. This could easily be the most compelling argument for seeking a data science job or education.

The fact that this fact is relatively unfamiliar to future or emerging students and experts, compared to what we described above about data science’s slow trickle into the public school curriculum as a stable subject and career industry option, is why it is ranked fourth on this list. According to estimates, 97 percent of all businesses use it daily as part of their strategic decision-making. Companies are acquiring unprecedented levels of new, valuable insights into their existing and potential consumers by leveraging data, and the area of data science is constantly evolving.

Data science’s ever-changing nature is part of what makes it an exciting field. You’ll learn various new skills that will enable you to use data to help firms with their business objectives and investigate attractive new sectors emerging from data science, such as AI, machine learning, big data, and more.

Various Opportunities for Professional Advancement

In the process of searching How to Become a Data Scientist After 12th, you might have a query if there are opportunities for professional advancement. We believe we’ve illustrated why a career as a data scientist is highly satisfying, but you may like to branch out into a new profession at some point. With a data science education, you’ll be well-positioned to excel in one of the most diverse ran
ges of follow-on occupations in any business.

Suppose you choose to stay exclusively in data science. In that case, you can always work your way up to advanced leadership roles in management and senior or lead data scientists. It may pay you tens of thousands of dollars more while providing you with more responsibility and the ability to direct the work your organization does.

How to Become a Data Scientist After 12th?

Let us now see how to become a data scientist after 12th. After 12th grade, students with an engineering, computer science, or comparable technical background choose data science courses. Data science is taught as an elective subject; however, students interested in pursuing a career in data science look for data science classes after 12th grade to learn more about the field.

Data science has applications in non-traditional industries including finance and insurance, which are reportedly in high demand for educated data scientists. After completing high school, students typically pursue a bachelor’s degree in engineering (BTech) and, in the meanwhile, explore numerous data science courses online or certificate programmes in data science.

They learn how data science works, what components and subjects are taught in data science, and what tools are required to become a data scientist after 12th grade through these introductory data science classes.

To encourage more students to seek careers in data science, many universities are establishing short-term courses, BTech with data science concentration, and certificate programmes in data science.

The list below shows all of the important data science classes and tools that are needed to pursue a career as a data scientist after completing high school. 

1. Machine Learning
2. Cloud Computing
3. Statistics
4. Database Management
5. Python
6. Computer Programming
7. SQL
8. HTML
9. Artificial Intelligence
10. Data Visualization

Eligibility Criteria

Let us now see the eligibility criteria for how to become a data scientist after 12th.

• Graduation in mathematics, statistics, computer science, engineering,  data science, or related subjects is the usual eligibility criteria for any data science course after 12th grade, preferably a diploma/bachelor’s/degree. master’s
• Candidates must have a graduating grade point average of at least 50%. To be qualified for data science degrees at top data science institutes like IIT Madras, you must have a minimum of 50% in your graduation.
• Exploring numerous data science courses online is the first step toward launching a career in data science. Candidates will be able to choose the correct selection of subjects and preparation tactics in classes 10 and 12 after taking online data science courses to understand what data science entails.
• DataTrained is a great place to start looking for data science courses.

Data Science Job Roles

In our quest how to become a data scientist after 12th let us see the various data science roles.

• Data Analyst
• Data Engineers
• Database Administrator
• Machine Learning Engineer
• Data Scientist
• Data Architect
• Statistician
• Business Analyst
• Data and Analytics Manager

Data Scientist Responsibilities

When it comes to a data scientist’s job description, there isn’t one. However, there are a few things you’ll almost certainly be doing:

• Collecting and processing massive amounts of chaotic data into a more usable format.
• Using data-driven strategies to solve business difficulties.
• Working with SAS, R, and Python, among other programming languages.
• Knowing statistics thoroughly, including statistical tests and distributions.
• Keeping up with cutting-edge analytical approaches, including machine learning, deep learning, and text analytics.
• Collaboration and communication with IT and business.
• Finding patterns and order in data and recognizing trends that can assist a company’s bottom line.

Note : You should also know about How to become Data Scientist in India  

Conclusion to How to Become a Data Scientist After 12th

I hope this article answers your data science-related questions, such as How to Become a Data Scientist after 12th. We’ve tried to explain why and how one can become a Data Scientist in India by taking a DataTrained certification course and getting hired as a fresher or a Data Scientist in a reputable company with a good salary. Get your Data Science course completion certificate from DataTrained and secure your ideal job.

Please forward this blog to your peers, freshers, statisticians, and other IT professionals, as they will find it quite beneficial in their careers. This blog will undoubtedly serve as a resource for people interested in pursuing a career as a data scientist.

Frequently Asked Question’s

1. How long does it take to become a data scientist after 12th?

While exploring How to Become a Data Scientist After 12th Commerce, you might doubt the duration to become a data scientist after 12th. Depending on the student’s path, a Data Science course could be a certification course or an undergraduate or postgraduate course. Several reputable data science courses are accessible on the market, and becoming a data scientist in 6 months or one year is possible.

DataTrained offers Data Science Certification courses in how to become a data scientist after 12th ranging from three to twelve months. DataTrained is India’s premier Data Science Certification provider for students with or without coding expertise, with a 100% job placement guarantee after completing the course with top IT companies such as TCS, NIT, HP, Ford, Hexaware, and others. Let’s move on to the following faq for How to Become a Data Scientist after 12th.

2. What qualifications do you need to be a data scientist?

While exploring How to Become a Data Scientist After 12th commerce, you might doubt the qualifications needed. To work as a data scientist, you’ll normally require a bachelor’s degree in computer science, mathematics, or science. The following degree disciplines may come in handy:

• Computer Science
• Data Science/Computer and Data Science
• Engineering
• Mathematics
• Operational Research
• Physics
• Statistics

You should be familiar with R, Python, SQL, C, or Java, as well as good database design and development skills. Some prominent corporations provide two-year data science graduate training programs. Graduates from any discipline may apply to some programs. Others will list the subjects that they will accept as degrees. Let’s move on to the following faq for How to Become a Data Scientist after 12th

3. What is the salary of data scientist fresher in India?

While exploring How to Become a Data Scientist After 12th commerce, you might doubt the salary of a data scientist. Based on 522 salaries, an entry-level Data Scientist with less than one year of experience can make an average total salary of 5,76,492 (including tips, bonus, and overtime pay). Based on 2,410 salaries, an early career Data Scientist with 1-4 years of experience gets an average total compensation of 8,02,121.

how to become a data scientist after 12th based on 850 wages, a mid-career Data Scientist with 5-9 years of experience earns an average full salary of 14,37,600. Based on 234 salaries, an experienced Data Scientist with 10-19 years of experience gets an average total compensation of 19,17,000. Employees with a late career (20 years or more) earn an average full salary of 1,362,500. Let’s move on to the following faq for How to Become a Data Scientist after 12th.

4. Is data scientist a stressful job?

While exploring How to Become a Data Scientist After 12th commerce, you might doubt whether data scientist is a stressful job. The job of a data scientist is demanding, and mistakes are unacceptable. Key Performance Indicators are used by company managers and stakeholders to monitor the quality of data analysts’ work and keep them on their toes in the face of tight deadlines.

The data analysts are in charge of churning the data, running queries, finding answers to any difficulties the company has, communicating results, and advising the relevant personnel to take corrective action as needed for how to become a data scientist after 12th.

The multiple expectations associated with a data scientist’s responsibilities and the job’s performance criteria may cause stress in this position. Let’s move on to the following faq for How to Become a Data Scientist after 12th.

5. How do I start a data science career?

While exploring How to Become a Data Scientist After 12th PCB, you might doubt how to start a data science career. Let us see:

• Develop functional soft and hard abilities.
• Choose a starting level course or a specialty to learn from the pros.
• Make a portfolio of your work.
• Internships provide practical experience.
• Keep up with the newest industry developments.

Let’s move on to the following faq for How to Become a Data Scientist after 12th.

6. Do you need maths for data science?

While exploring How to Become a Data Scientist After 12th PCB, you might doubt whether math is required for a data science role. Data science relies heavily on mathematics. A vital education in specific mathematical subjects is required of every practicing data scientist or someone interested in seeking a career in data science.

Machine learning algorithms and completing analyses and discovering insights from data necessitate mathematical knowledge in data science employment. While math isn’t the essential requirement for a data science education and job, it is frequently one of the most significant.

One of the most critical elements in a data scientist’s workflow is identifying and comprehending business difficulties and turning them into quantitative ones. Let’s move on to the following faq for How to Become a Data Scientist after 12th.

7. Do data scientists work from home?

While exploring How to Become a Data Scientist After 12th PCB, you might doubt whether a data scientist can work from home or not. The domain of data science is no stranger to remote work. The position of the data scientist is regarded as one of the most remote-friendly jobs.

The positions of data scientist, data analyst, data architect, machine learning engineer, data mining engineer, and data engineer are usually in such high demand that corporations are willing to invest in the most promising talent, regardless of their location. However, finding a data science job and conducting a data science interview can still be daunting. Let’s move on to the following faq for How to Become a Data Scientist after 12th in India.

8. Is data science good for freshers?

While exploring How to Become a Data Scientist After 12th PCB, you might doubt whether a data science career is good for freshers. These factors must be regarded if you want to continue your data science career as a fresher and will help you to know how to become a data scientist after 12th.

• Bachelor’s degree in computer science, statistics, or information technology is required.
• Participate in the Internship Program for Data Scientists.
• Your career can be advanced with a Master’s degree and certification.

Let’s move on to the following faq for How to Become a Data Scientist after 12th in India.

9. What is data science course fees?

While investigating How to Become a Data Scientist After 12th PCB, you might doubt about the fees of a data science course. This Job Guarantee Program will help you become an industry-ready Certified Data Science expert by immersing you in data analysis and visualization, machine learning models, forecasting and prediction models, natural language processing, deep learning, etc.

DataTrained’s Data Science course is economical and affordable.  The IBM Data Science PG course Certification is available at half the price of their competitors. Let’s move on to the following faq for How to Become a Data Scientist after 12th in India

10. Which institute is best for data science?

While investigating How to Become a Data Scientist After 12th, you might question which institute is best for a data science course. There are various Data Science courses available on the market for those interested. These courses are accessible in multiple formats, including online, offline, hybrid, and distant learning. Physical classes are not recommended because of the pandemic since they increase the risk of infection.

DataTrained brings you the top Data Science courses available. Organizations only hire applicants who have received certification from reputable institutions. DataTrained is the most popular EdTech startup in India. For this, we offer many Micro Degree and Certificate Programs. Furthermore, most of our data science courses include a 100% placement guarantee! Let’s move on to the following faq for How to Become a Data Scientist after 12th in India.