How to become a Data Scientist after 12th

What is Data scientist?

A data scientist is a professional who uses scientific methods, algorithms, and systems to extract insights and knowledge from data. Data scientists apply statistical analysis, machine learning, and data mining techniques to analyse and interpret complex data sets, often with the goal of solving business problems or identifying trends and patterns.

What is the job Demand of Data Scientist in India?

In India, the demand for data scientists has been steadily increasing over the past few years. With the rapid growth of technology and the increasing importance of data-driven decision making, companies across a range of industries are recognizing the value of skilled data scientists. Some of the top job demand for data scientists in India include:

1. Data Analyst: A data analyst is responsible for collecting and analysing data to identify patterns and trends that can be used to improve business operations.
2. Data Engineer: A data engineer is responsible for designing, building, and maintaining the systems and infrastructure that allow organizations to collect, store, and analyse large amounts of data.
3. Machine Learning Engineer: A machine learning engineer is responsible for developing algorithms and models that enable computers to learn from data and make predictions or decisions based on that learning.
4. Data Scientist: A data scientist is responsible for identifying business problems, developing hypotheses, collecting and analysing data, and communicating insights to stakeholders.
5. Business Intelligence Analyst: A business intelligence analyst is responsible for using data to inform business decisions and help organizations achieve their strategic goals.

What is require Skills for Data Scientists?

There are several key skills that are required for a data scientist in India. These include:

1. Strong analytical skills: Data scientists must have excellent analytical skills to be able to analyse large volumes of complex data and draw meaningful insights from it.
2. Proficiency in programming languages: Data scientists should be proficient in programming languages such as Python, R, and SQL.
3. Knowledge of statistics and mathematics: Data scientists should have a strong understanding of statistics and mathematics to be able to build statistical models and algorithms.
4. Data visualization skills: Data scientists must be able to create meaningful visualizations to communicate their findings to stakeholders.
5. Business acumen: Data scientists should have a good understanding of the business and the industry they are working in to be able to apply data insights to solve business problems.
6. Communication skills: Data scientists should be able to communicate their findings effectively to stakeholders who may not have a technical background.
7. Machine learning and AI skills: Data scientists should have a good understanding of machine learning and artificial intelligence to be able to develop predictive models and algorithms.
8. Data cleaning and pre-processing skills: Data scientists should be proficient in cleaning and pre-processing data to ensure that it is usable for analysis.
9. Ability to work with big data technologies: Data scientists should be able to work with big data technologies such as Hadoop, Spark, and NoSQL databases.

Overall, data scientists in India require a strong blend of technical, analytical, and business skills to be successful in their roles.

What is the data analytics scopes in India?

Here are some possible scopes of data analytics in India, presented in both paragraph and tabular forms:

1. Business analytics: India has a thriving business ecosystem with a large number of companies across industries. Data analytics can help businesses make data-driven decisions, optimize operations, improve customer experience, and drive growth. Companies can use data analytics to analyse sales and marketing data, customer behaviour, supply chain data, financial data, and more.
2. Healthcare analytics: India’s healthcare sector is rapidly growing, with a focus on improving access to healthcare services and enhancing the quality of care. Data analytics can play a crucial role in improving patient outcomes, reducing costs, and enhancing the efficiency of healthcare operations. Healthcare organizations can use data analytics to analyse patient data, track disease outbreaks, monitor the performance of medical equipment, and more.
3. Education analytics: India has a vast education sector, with millions of students enrolled in schools, colleges, and universities. Data analytics can help educational institutions improve learning outcomes, personalize learning, and optimize teaching practices. Education analytics can help track student performance, identify areas for improvement, analyse teaching methodologies, and more.
4. Government analytics: India has a large government sector, with various departments and agencies responsible for delivering public services. Data analytics can help the government improve policy-making, monitor service delivery, and enhance citizen engagement. Government analytics can help analyse social and economic data, monitor public health, track progress towards development goals, and more.
5. Sports analytics: India has a growing sports industry, with cricket being the most popular sport. Data analytics can help sports teams and organizations make data-driven decisions, analyse player performance, and enhance the overall fan experience. Sports analytics can help analyse player data, track team performance, optimize game strategies, and more.

Note: This is not an exhaustive list, and there may be other scopes of data analytics in India.

What is the Eligibility for Data Scientist in India?

Data scientist eligibility in India on percentage and merit-based are given below:

In India, eligibility for becoming a data scientist is typically based on educational qualifications, skills, and experience. Below are some of the key factors that are taken into consideration:

1. Educational Qualifications: To become a data scientist, you typically need to have at least a Bachelor’s degree in a relevant field such as Computer Science, Statistics, Mathematics, or Engineering. Many employers prefer candidates with a Master’s or PhD degree in these fields. The minimum percentage required for eligibility can vary from college to college and university to university, but it is usually around 50-60% in the undergraduate program.
2. Skills: Data scientists are expected to have a strong foundation in statistics, mathematics, and computer science. In addition, they should have expertise in programming languages such as Python, R, SQL, and Hadoop, and familiarity with data visualization tools such as Tableau and Power BI. Other important skills include machine learning, deep learning, data mining, and data modelling.
3. Experience: Many data science jobs require prior experience in the field. Candidates with internships, research projects, or work experience in data science-related roles may have an advantage over those who do not.

Overall, eligibility for becoming a data scientist in India is determined by a combination of factors, including educational qualifications, skills, and experience.

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What are Data scientist course duration in India?

The duration, syllabus, and curriculum for data scientist courses in India can vary widely depending on the level of study and the institution offering the course. Here is a general overview of the duration, syllabus, and curriculum for data scientist courses in India:

1. Diploma or Certificate Courses: These courses are typically short-term and can range from a few weeks to a few months. The syllabus usually covers the basics of data science, including statistics, programming languages, and data analysis.
2. Undergraduate Courses: Bachelor’s degree programs in data science usually have a duration of 3-4 years. The syllabus typically covers a broad range of topics, including mathematics, statistics, programming languages, data analysis, data visualization, and machine learning.
3. Postgraduate Courses: Master’s degree programs in data science usually have a duration of 1-2 years. The syllabus is more advanced and in-depth than undergraduate courses, and typically covers topics such as big data analytics, natural language processing, deep learning, and artificial intelligence.
4. Executive or Part-time Courses: These courses are designed for working professionals and can have a duration of anywhere from a few weeks to a year. The syllabus is typically tailored to the needs of professionals and covers topics such as business analytics, data-driven decision making, and data visualization.

Some institutions may offer specialized programs focused on specific areas of data science, such as healthcare analytics or financial analytics. Prospective students should research and compare different courses and institutions to find the one that best suits their needs and career goals

List of Top Universities of India for data scientist course:

Here are some of the top universities in India for data science courses:

1. Indian Institute of Technology (IIT) Bombay – Offers a postgraduate programme in Data Science and Engineering.
2. Indian Institute of Technology (IIT) Delhi – Offers a postgraduate programme in Data Science and Machine Learning.
3. Indian Institute of Technology (IIT) Kharagpur – Offers a postgraduate programme in Data Analytics.
4. Indian Institute of Technology (IIT) Madras – Offers a postgraduate programme in Data Science.
5. Indian Institute of Technology (IIT) Hyderabad – Offers a postgraduate programme in Artificial Intelligence and Machine Learning.
6. Indian Institute of Science (IISc) Bangalore – Offers a postgraduate programme in Computational and Data Science.
7. University of Delhi – Offers a postgraduate programme in Data Science.
8. University of Hyderabad – Offers a postgraduate programme in Data Science.
9. University of Mumbai – Offers a postgraduate programme in Data Science.
10. Indian School of Business (ISB) Hyderabad – Offers a postgraduate programme in Business Analytics.

These universities offer a range of programmes in data science, including postgraduate degrees, diplomas, and certificate courses. Each of these programmes has its own unique features, and students can choose the one that best suits their interests and career goals.

What is the Basic fee charge for Data scientist course in India?

The fees for data scientist courses in India can vary widely depending on the university, course duration, and level of study. Here is a general overview of the fees for data scientist courses in India:

1. Diploma or Certificate Courses: These courses are typically shorter in duration and can cost anywhere between Rs. 10,000 to Rs. 50,000.
2. Undergraduate Courses: Bachelor’s degree programs in data science can cost between Rs. 1 lakh to Rs. 5 lakhs per year.
3. Postgraduate Courses: Master’s degree programs in data science can cost between Rs. 2 lakhs to Rs. 10 lakhs per year.
4. Executive or Part-time Courses: These courses are designed for working professionals and can cost between Rs. 1 lakh to Rs. 5 lakhs.

Note: These are just general estimates and the fees for data scientist courses can vary depending on the institution and course structure. 

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Data scientist course subject and syllabus in India:

The subjects and syllabus for data scientist courses in India can vary depending on the institution offering the course and the level of study. However, here are some of the common subjects and topics covered in data scientist courses in India:

• Mathematics and Statistics: Linear algebra, calculus, probability theory, statistical inference, hypothesis testing, and regression analysis.
• Programming Languages: Python, R, SQL, and MATLAB.
• Data Analysis: Data pre-processing, data cleaning, data exploration, data visualization, and data transformation.
• Machine Learning: Supervised learning, unsupervised learning, decision trees, random forests, k-means clustering, and neural networks.
• Big Data Analytics: Hadoop, MapReduce, Apache Spark, and distributed computing.
• Natural Language Processing: Text mining, sentiment analysis, and topic modelling.
• Artificial Intelligence: Deep learning, reinforcement learning, and computer vision.
• Business Analytics: Data-driven decision making, data visualization, and data storytelling.

Note: The specific subjects and topics covered in data scientist courses can vary depending on the institution offering the course and the level of study. Prospective students should research and compare different courses and institutions to find the one that best suits their needs and career goals.

Data scientist training in India:

There are many options for data scientist training in India, both online and offline. Here are some popular options:

1. Indian Institutes of Technology (IITs): Many IITs offer data science and analytics programs, including IIT Bombay, IIT Kharagpur, IIT Delhi, and IIT Madras.
2. Indian Institute of Science (IISc): The IISc offers a master’s program in computational and data science, which covers topics such as data analysis, machine learning, and optimization.
3. Indian School of Business (ISB): The ISB offers a one-year program in business analytics, which covers topics such as statistical analysis, machine learning, and data visualization.
4. Jigsaw Academy: Jigsaw Academy is an online data science training provider that offers courses in data science, machine learning, big data, and business analytics.
5. Simplilearn: Simplilearn is another online training provider that offers a wide range of courses in data science, machine learning, and big data.
6. Up Grad: Up Grad is an online education platform that offers a data science program in collaboration with IIIT Bangalore.
7. Analytics Vidhya: Analytics Vidhya is an online platform that provides training in data science, machine learning, and artificial intelligence through courses, webinars, and hackathons.

These are just a few options, and there are many more available. It’s important to do your research and choose a program that fits your needs and goals.

What is Require job position in India for Data Scientist?

Here, are some job positions in India for data scientists:

• Data Scientist at Flipkart (Bangalore)
• Senior Data Scientist at Amazon (Bangalore)
• Data Scientist at Ola Cabs (Bangalore)
• Senior Data Scientist at Swiggy (Bangalore)
• Data Scientist at Paytm (Noida)
• Machine Learning Engineer at Google (Bangalore)
• Data Scientist at Delhivery (Gurgaon)
• Senior Data Scientist at Zomato (Gurgaon)
• Data Scientist at Fractal Analytics (Mumbai)
• Data Scientist at Mu Sigma (Bangalore)

You can also search for more job positions on job portals such as Naukri.com, LinkedIn, Indeed, etc. and on the websites of companies that you’re interested in. Good luck with your job search!

What is the Salary of Data scientist in India?

The salary of a data scientist in India can vary depending on several factors, such as years of experience, location, industry, and company size. Generally, the salary of a data scientist in India can range from around ₹400,000 per annum for an entry-level position to over ₹2,000,000 per annum for a senior-level position.

Here are some approximate salary figures for data scientists in India based on their years of experience:

• Entry-level (0-2 years): ₹400,000 – ₹700,000 per annum
• Mid-level (2-5 years): ₹700,000 – ₹1,500,000 per annum
• Senior-level (5+ years): ₹1,500,000 – ₹2,500,000 per annum

Note: These figures are just estimates and may vary based on several factors. Additionally, salaries in metropolitan cities like Mumbai, Bangalore, and Delhi may be higher compared to other cities.

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Government sector data scientist job position and salary in India:

Data scientist positions in the government sector in India are becoming increasingly common, with many departments and agencies recognizing the importance of data analytics in improving decision-making and policy formation.

The salary for a government data scientist in India can vary widely depending on the specific organization and level of experience. According to PayScale, the average salary for a data scientist in the Indian government sector is around INR 900,000 per year, with entry-level salaries starting at around INR 500,000 and more experienced data scientists earning up to INR 2,000,000 or more per year.

Note: Government salaries in India are often subject to government regulations and pay scales, which can limit the potential for high salaries compared to the private sector. Additionally, benefits such as healthcare and retirement plans may also be included as part of the compensation package.

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Job requirements for government sector for data scientist:

The specific job requirements for a government data scientist in India can vary depending on the department or agency, but generally, they may include:

1. Educational Qualification: A master’s or doctoral degree in a relevant field such as statistics, computer science, mathematics, or engineering. Many government agencies require a minimum of a master’s degree.
2. Technical Skills: Proficiency in data analysis tools and programming languages such as Python, R, SQL, SAS, and Tableau. Experience with machine learning algorithms, statistical modelling, data visualization, and data mining techniques may also be required.
3. Knowledge of Government Policies: Understanding of government policies and regulations related to data privacy, security, and governance, as well as an ability to work with government data sets.
4. Communication Skills: Strong communication and presentation skills to effectively communicate findings and recommendations to non-technical stakeholders and decision-makers.
5. Analytical Skills: Strong analytical skills to identify patterns and insights from complex data sets
6. Teamwork: Ability to work collaboratively with other data scientists, analysts, and stakeholders.
7. Experience: Relevant work experience in data science, analytics, or related fields in government or private sectors may be preferred.

Note: These are general requirements and specific job postings may have additional requirements depending on the needs of the organization.

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