How to become a Data Scientist after 12th? : Eligibility, Fees, Scope in 2024

17-Apr-2023

The Data Science profession has garnered massive traction lately, which has also eventually given rise to the value of data science degrees and programs, particularly online Data Science courses. If you find the idea of becoming a data scientist enticing and exciting, you can begin developing your career in this challenging field right after your 12th standard. Let us delve into the nitty-gritty of becoming a data scientist after your senior secondary education.

Guide to Become a Data Scientist after 12th Standard 

Following this roadmap will help you strategize your career plan soon after your senior secondary education.

1. Pursue a Bachelor's degree

The primary step to breaking into the data science career is to attain the basic level of educational credential. You can kickstart by enrolling in a Bachelor's degree program in any of the core disciplines of data science -Computer Science, Mathematics, Statistics, or Information Technology. This degree program will give you a solid grounding in key skills like programming, Data analysis, and Statistics. 

2. Learn programming languages

Developing expertise in Programming languages is crucial to becoming a data scientist. Numerous online data science course programs with a focus on programming languages are easily available. You can begin by learning SQL, R, and Python which are known to be the easily learnable and most popular languages. You can also take help from other online resources as well as books.

3. Gain Experience in Data Analysis

Working on projects will enhance your analytical skills and knowledge. You can avail the opportunity of working on projects involving data analysis through internships, personal projects, or freelance work.

4. Develop A portfolio

After completing your graduation degree and gaining a certain level of experience, developing your portfolio is important. Your portfolio demonstrates your expertise in data analysis, programming, and modeling.

5. Attend boot camps or online data science courses

There are many boot camps and online data science courses available that focus specifically on Data Science. These programs hone the necessary skills and knowledge to become a Data Scientist.

Network: As often stated, your network is your net worth, the more you network, the higher the chances for you to get exposure into the field and avail yourself of better job opportunities. You can start networking by attending events, webinars, and meetings and connecting with professionals in the field.

Apply for jobs: after having taken up a course or attaining a degree, aspirants can start applying for entry-level Data Scientist positions at companies that suit their interests and capacity. You can search for job openings on job portals like LinkedIn or reach out to companies directly.

What are the Data Science Courses After 12th Grade?

A good combination of education, experience, networking, and a strong portfolio is your ticket to reaching your destination of a Data scientist job. To venture into this challenging field, there are numerous study plans that you can start with. Let us find out the data science courses after the 12th standard that beginners can start with.

1. Bachelor's Degree in Core Disciplines

A Bachelor's Degree in Computer Science/Mathematics/Statistics is the right career path to join the band of Data science experts. A Computer science degree gives you the foundational grounding in programming, algorithms, data structures, and database management, to mention a few. A bachelor's in Mathematics builds you with in-depth knowledge in calculus, linear algebra, statistics, and probability theory, among others. A statistics degree gives you a solid foundation in statistical inference, regression analysis, time series analysis, experimental design, etc. 

2. Diploma in Data Science

Several diploma courses in Data Science are now available in numerous academic institutions that you can also pursue after the 12th standard. These short-term diploma programs give you orientation in big data, Machine learning, data analysis, data visualization, etc. 

3. Data Science Online Certificate Courses

Certified professionals make it better out there in the job market as organizations are after certified professionals. Ideally, a data science online course certification trains you in the essential areas of data science and prepares you for the industry with the necessary skillsets.  

4. Data Science Online Course Programs

Several online data science course programs are available for aspirants who want to train in data science starting from the basic level to advanced level programs. These programs specialize in extended topics and skills including Python programming, data analysis, machine learning, statistics, etc. These courses are designed with the objective to help aspirants to develop skills and knowledge essential to pursue a career in Data Science. Nevertheless, interested individuals must ensure that any online data science course they choose aligns with their interests and career goals.

Data Science Course Fees

As there are varied programs and courses available to train in data science skills, the data science course fees will also vary depending on various factors, including - Institution, mode of learning, program type, and the location of the institution you are pursuing the course from. By comparing and referring to certain  resources for the data science course fees, below are some approximate fee ranges for different types of Data Science courses:

➜ Bachelor's/Master's Degree: The typical data science course fees for a bachelor's program may range between US$20,000 to $50,000 annually depending on the institution and location. And a range between US $30,000 to $70,000 may be the cost for Master's degree programs. 

➜ Diploma Courses: The data science course fees for a Diploma program may generally range from $2,000 to $10,000.

➜ Certificate Courses: Data science course fees for certification vary depending on the certification program. While foundational certifications training may cost lesser, advanced courses may cost higher. An amount of US $500 to $5,000 may be the typical cost of a certification course

➜ Online Courses: Online Courses in Data Science usually cost around $100 to $5,000. You must however keep in mind that the delivering institutes have their own fee structures. 

Data Science Course Eligibility

Given the availability of numerous institutes and courses, the eligibility criteria for Data Science courses can vary depending on the institution and the type of course. However, here are some general eligibility criteria that are typically required for Data Science courses: Numerous academic and training institutes have come about introducing updated data science courses to cater to the industry's need for expert skills and talents.

Every institute may have varying eligibility criteria for entry into their data science courses online or on-campus programs. However, below are some of the fundamental criteria that aspirants must possess to pursue a data science career: 

• Educational Qualification: A minimum educational qualification of a Bachelor's degree in any of the core fields is the mostly preferred criterion for data science courses.
• Knowledge of Statistics and Mathematics: Data science operation necessitates having a solid grounding in statistics and Mathematics. Hence, entrance to any data science course requires knowledge of these subjects.
• Programming Skills: Proficiency in programming languages is essential for the data science field and courses.
• Work Experience: Some of the advanced Data Science courses require prospective professionals to have work experience in data analysis and software development and other such related skills.

Discovering the Scope of Data Science 

The scope of data science which was in earlier times limited to technical fields have now extended beyond the realm of IT fields and almost every industry is integrating data science application in their operations. This has resulted in the increasing demand for data science experts. To understand the scope of data science and how far and wide its application is effective, let us consider a few of the top industries that employ data science significantly. 

• Business: Data Science application is bringing revolutionary changes to the business landscape. Its application helps organizations to make better and more informed decisions by identifying patterns and extracting insights from the data. This includes areas like pricing optimization, product recommendation, and customer segmentation. 
• Healthcare: Data Science application has ushered in numerous innovations in the healthcare industry, making possible improved medical discovery, and diagnosis and treatment facilities. 
• Finance: The banking and finance industry largely has become dependent on the intelligent services of data science which mitigate fraud, manage risks and offer investment decisions to customers, etc. 
• Marketing: The targeted marketing strategy is largely benefiting from the sophisticated analytics that data science offers based on customer behavior and preferences.
• Government: Government bodies across the globe are significantly making use of data science for developing policies and programs that improve the lives of citizens by analyzing data concerning public policies, safety, healthcare, and education.

By and large, the scope of data science is expansive, and it will continue to grow in the coming years with the increased adoption of data-driven technologies and industries. This will also result in higher demands for data science experts and the skills necessary to analyze and interpret large amounts of data to inform business decisions and drive innovation.

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