How to Become a Data Scientist

Data science career in India is an interdisciplinary subject matter that utilises several statistical methods, scientific algorithms, information science, data assessment, and machine learning theories, as well as other similar subjects. It involves the extraction of relevant information from a wide data group to generate a strategy for businesses to understand their information and analyse them.

Individuals in the data scientist career path acquire an industry-specific understanding of analytical and programming skills.  An organisation plans its business strategy and plans, based on the performance provided by a Data Scientist.

• Data scientists determine the data to be collected by the company, establish strategies for modifying the data system to generate useful information and work with many other data and analytics departments.

• They are liable for the cleaning of huge large amounts of data and allowing analytical ability to survey the data and identify business requirements.

• They perform an analytical role in developing, applying, and analysing complex computational equations and application methods in some of the most complicated problems of the business. 

• They play a strategic role in introducing new and innovative strategies for recognizing market trends and behavioural patterns in the business, and also ways of solving critical business challenges, such as product quality and total revenue. 

• Data scientists spend a considerable amount of time researching and planning solutions within the company for existing problems.

There are various types of careers in the data analyst career path whether it be data analysis careers, data mining careers or big data careers. We have mentioned below the major job roles that one can opt for after graduating from a data science course. 

Data Developers: Data developer is a data engineer who is skilled with user experience and is also knowledgeable about business value. Data developers recognize business objectives and are therefore not confined to store, retrieve, information flow issues. IT Engineers, Data warehouse developers or software developers may also be known as data developers. 

Database developers are able to gather data before creating the database. They develop, build, evaluate, introduce and manage new databases as well as current ones. Developers of the database build management techniques and processes to access data stored in databases safely.

Data Researcher: A Data Researcher is liable for collecting and analysing the data, securing and regularly enhancing the quality of data from an institution and working with the research group to analyse information in a logical manner. Their job description includes supporting the research department in monitoring and evaluating all facets of the institution's business and using data analysis for services, company ventures, and activities in business growth.

Market Research Analyst: Market Research Analysts evaluate consumer behaviour to help businesses in deciding how their services and products should be formed, marketed, and commercialised. Several market research analysts are working for contractually hired consultancy firms. Else work directly at product companies as part of a marketing team for business owners.

Market research analysts collect and interpret information about customers and competition. Market research analysts analyse market dynamics to look at future product or service sales. They help companies in understanding and producing products that consumers want.

Data scientists operate mostly at the offices. However, they might require travelling sometime to meet clients. Individuals in the data scientist career path convert research and facts into simple insights, to support businesses and organisations, so that they could know how to make smarter business decisions. 

A career as a data scientist involves the collection of numbers to find out a number of products, like pricing, manufactured innovations, reducing shipping charges, or addressing the issue which impacts the businesses.  Individuals in the data scientist jobs typically employ computer and software programmes to calculate their statistics. 

Does Data Scientist require travelling?

Likely

A career as a data scientist involves travel both internationally and domestically frequently for the purpose of providing data access control, guidance, and supervision for major shareholders or other related companies. Political data science careers require attending meetings, seminars and conferences, and meeting clients and other professionals.

Time Pressure

Likely

Data Science is a profession that requires a lot of hard work, persistence, and supervision. There are a lot of tasks for data scientists to perform within a day. Hence, the time pressure is immense. Meeting deadlines, completing projects, holding meetings, performing data refining and other significant research requires a lot of time management.

Along with the proficiency with technical tools one must have relevant soft skills in order to function as a data scientist. We have discussed below what skills will help an individual in his or her data science career.

Communication Skills: The data scientist's communication skills are a must, in both written and verbal manner. To clarify complex mathematical material to senior data scientists and other stakeholders, a data scientist would need to communicate well. Therefore, with clear advice and observations specific to the audience at hand, they must have the ability to translate and tailor this technical content into relevant business material. 

Analytical Skills: A data scientist must understand the methods of data mining and be able to utilise such strategies in real-world business problems. Individuals in the data scientist career path would display a skill for the company to analyse data, and recognize trends, problems or data analysis requirements. 

Strong fundamentals in statistical analysis are essential but thinking regarding challenges through a kind creative and analytical perspective is even more important. It will assist the scientists in producing active research questions that will help employees know the subject.

Technology Skills: An applicant for this role requires to be technically advanced, demonstrate exceptionally good computer skills, and demonstrate an interest in science, statistics, and data processing as also a basic competency and desire to develop and implement effective data analysis strategies within a company.

Individuals in the data scientist career path must be trained in at least one language and therefore should possess some specific skills. Individuals who opt for a career as a data scientist use computer languages such as R and SAS for data collection, data processing, statistical analysis, and data display.

Interpersonal Management: A data scientist always needs to acknowledge positive characteristics that would suit him for the task, such as possessing the capability to work in a group or collaborative setting. He or she needs to be result-oriented, to be detail-oriented, a strategic and analytical thinker and also need to possess superior leadership skills. 

Computer Skills: The important aspect to remember is that every Microsoft Excel-related analytical tool. The important advantages of entering an advanced Excel programme significantly increase productivity by saving the cost, becoming an expert in managing spreadsheets, efficiently developing charts and figures, and enabling a comfortable environment to operate.

There are various types of data scientist certification that help in improving the data scientist skills required to become a successful data scientist. Please note that these certifications are not mandatory but we recommend individuals to complete in order to gain hands-on experience. 

• Post Graduate Program in Data Science and Engineering

• Executive Development Program in Data Science with Python, R & Excel

• Data Science for All

• Data Science with Python Certification Training Course

• Data Science with R Certification Course

• Advanced Programme in Data Sciences

• Advanced Certificate Programme in Data Science

• Certificate Course in Data Science

• Certificate Course in Data Science

• Data Science Bootcamp Certification Course

• Certificate Program in Full Stack Data Science

Industry estimates suggest a potential for 11 million data science jobs in India by 2026. The increasing importance of data scientists will give an indication of data science career growth. Effective data analysis applications would also help e-commerce companies to predict transactions, revenues, and failures, and sometimes even manipulate people to purchase stuff by monitoring their behaviours and attitudes. 

Data sciences include the immense potential in providing information into the development and preparation of transportation infrastructure in the data analyst career path. Analytics from this collected data are essential in building sustainable competitive advantage, improving system accuracy and managing risk.

The data science market in India is expected to experience significant growth in the coming years. A report predicts a jump from $204.23 million in 2023 to $1.391 billion by 2028, reflecting a Compound Annual Growth Rate (CAGR) of 57.5%.