FAQs about Data Science

At VRG Technologies, we receive lots of questions from people who are interested in learning Data Science and would like to know the pre requisites before joining into this course.

So our Data Science trainers at VRG Technologies who are experts in Data Science have taken up few questions and have answered.

If you have any questions, feel free to write down in our comment box and we will be happy to answer your questions.

1. What is Data Science?

Data science is the process of extracting insights and knowledge from data using various techniques and tools from statistics, machine learning, and computer science.

2. How can Data visualization be used in Data Science ?

Data visualization is used to explore and understand the data, identify patterns, and communicate insights. Common data visualization tools include matplotlib, seaborn, and ggplot.

3. Is there age limit in learning Data science?

Data science is a growing field and it requires a combination of skills such as statistical analysis, programming, and domain knowledge. As long as an individual has the desire to learn and the aptitude for these skills, they can begin learning data science at any age.

Many universities and online platforms offer data science courses and programs that are open to people of all ages. Additionally, there are many resources available online, such as tutorials, blogs, and forums, that can help people learn data science on their own.

It’s also worth noting that age does not determine the success in Data science field, as it depends on the skills and experience one have, and the ability to continue learning and adapting to new technologies and methodologies in the field.

4. Can a person from Non IT background learn Data science?

Yes, non-IT individuals can learn data science. Data science is a field that requires a combination of skills such as statistical analysis, programming, and domain knowledge. While a background in computer science or programming can be helpful, it is not a requirement to learn data science.

5. Is Data Science a good career option?

Yes, data science is a very good career with tremendous opportunities for advancement in the future. Already, demand is high, salaries are competitive, and the perks are numerous – which is why Data Scientist has been called “the most promising career” by LinkedIn and the “best job in America” by Glassdoor.

6. What does a Data Scientist do?

In simple terms, a data scientist’s job is to analyze data for actionable insights. Specific tasks include: Identifying the data-analytics problems that offer the greatest opportunities to the organization. Determining the correct data sets and variables.

7. Does Data Science require coding?

You need to have knowledge of various programming languages, such as Python, Perl, C/C++, SQL, and Java, with Python being the most common coding language required in data science roles. These programming languages help data scientists organize unstructured data sets.

8. Does Data Science involves lot of math?

Data science careers require mathematical study because machine learning algorithms, and performing analyses and discovering insights from data require math. While math will not be the only requirement for your educational and career path in data science, but it’s often one of the most important.

9. Is Data Science an IT job?

A Data Scientist job is most definitely an IT-enabled job. Every IT professional is a domain expert responsible for handling a particular technical aspect of their organization.

10. Which degree is basic requirement for Data Scientist?

B.S. in Computer Science: This degree is a natural fit for a career in data science with its emphasis on programming languages.

11. Is Python programming enough for Data Science?

Python is an open-source, interpreted, high-level language that offers excellent object-oriented programming techniques. Data science leverages this language in all their projects and is one of the best languages data scientists can leverage.

12. Is C++ needed for Data Science?

C and C++ are comparatively faster than other programming languages, making them well-suited candidates for developing big data and machine learning applications. It isn’t a coincidence that some of the core components of popular machine learning libraries, including PyTorch and TensorFlow, are written in C++.

13. What are all the topics that will be covered in Data Science?

The major topics in the Data Science syllabus are Statistics, Coding, Business Intelligence, Data Structures, Mathematics, Machine Learning, and Algorithms, amongst others.

14. Will Data Science exist in 10 years?

In 10 years, data scientists will have entirely different sets of skills and tools, but their function will remain the same: to serve as confident and competent technology guides that can make sense of complex data to solve business problems.

15. Can I learn Data Science within a year?

People from various backgrounds especially with zero coding experiences have proven to become good Data Scientists in just one year by learning to code smartly.

16. Why data scientist salary is high?

One of the main reasons for the high salaries of data scientists in India is the high demand. Not only is there a high demand for data scientists, but the types of jobs available are also plentiful. The demand for data scientists is rapidly increasing, and there is a substantial supply shortage

17. Can a non IT student do Data Science course?

Basic knowledge of Excel, Python, and SQL can help you start a data science career even with a non-tech background. Do you want to build a data science career, but have no technical background? Well, it must not stop you from chasing your dream career.

18. How to start a career in Data Science?

    Step 1: Earn a Bachelor’s Degree. …

    Step 2: Learn Relevant Programming Languages. …

    Step 3: Learn Related Skills. …

    Step 4: Earn Certifications. …

    Step 5: Internships. …

    Step 6: Data Science Entry-Level Jobs.

19. What is the salary a Data Scientist can get?

Highest salary that a Data Scientist can earn is ₹26.0 Lakhs per year (₹2.2L per month).

20. Can freshers join Data Science?

Yes, you can become a data scientist as a fresher. If you are willing to learn and enter the field of data science, you need to acquire the required skills associated with data science.

21. Can I start data science career at 30?

Yes, of course, you can! Age is just a number. Jokes apart, you can pursue your career at any age in this digital era, where every information that you ever need is already available on the internet.

22. What is the minimum package of data science freshers?

Data Scientist salary in India with less than 1 year of experience to 8 years ranges from ₹ 4 Lakhs to ₹ 25 Lakhs with an average annual salary of ₹ 10 Lakhs based on 24.7k salaries.

23. What is data science fresher salary in India?

The average salary of a Data Scientist in India is Rs. 8,60,316 per annum. Data Scientists with less than one year of experience and freshers earn an average of Rs. 5,71,493 annually (based on 533 Data Scientist’ salaries) in India.

Data Science is one of the world’s fastest-growing disciplines, and our certification course will raise your value in the marketplace and help you become more appealing to employers. Jump-start your career in this fascinating field today!

Contact us as info@vrgtechtraining.com for any Training and Consulting engagements.

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