Data is a crucial part of the analysis in all organisations. Data analysis has proven to form part of an organisation’s strategies, policies, and marketing plans. The Internet and smartphones have made it easier to collect, collate, and analyse data in real-time. Real-time data analysis is utilised to make timely decisions to grow a business.
Data Science in the Business World today!
According to Herald Keeper, the Data Science market is expected to grow to 115 billion USD in 2023 with a CAGR of 29%. This is indicative enough to know the demand for data scientists in the recruitment market. The demand will be seen in all the industries for data science and analytics. Industries include retail, medicine, banking & finance, construction, transportation, communication, media, education, manufacturing, natural resources, government, and energy and utilities.
Internships in Data Science
Internships are the best way to begin a career in data science. Internships provide opportunities for beginners to gain experience in the field under the guidance of peers in the industry. Practical experience in the field of work is the basis for building a professional network. Data Science internships are available in the industry, but you need to make an effort to get the breakthrough. Here let’s take a look at 10 useful tips to take up internship positions in the organisation.
- Add data science certification to resume
Data science courses are available both offline and online. Data Science for beginners can be pursued based on the individual's schedule. If you are a student in your final year or want to switch to a data science career, you can opt for online courses. The courses are designed for an easy understanding with a lot of support from the teaching team regarding videos and study material. The study material includes case studies in the organisation to peek at the real-time application of data science. A data science certificate in the resume will catch the eye of the organisations. Interested candidates can try an e-learning course or data science classroom course to add value to the resume.
- Candidate’s Profile
Organisations look for more than what appears in the resume. Digital profile plays a vital role in today’s recruitment industry. Opportunities to collaborate are available online, so utilise these chances and work on live projects. Completed projects can be showcased on GitHub.
- Participate in Competitions
Nowadays competitions are held at many levels. Start small from the college competitions. Participating itself is a huge thing, so focus on participation. Winning or losing follows. Participation is an opportunity to dig deep into yourself to solving the problems. It is an opportunity to explore various ways of solving the same problem. While participating, you come across individuals of different streams as well as seniors in the field. Building comradeship is the first level of building a professional network.
- Find a Mentor
With boosted confidence, you can further compete in Topcoder, Kaggle, or International Data Analysis Olympiad (IDAHO). A certificate of participation from these events carries weightage on the resume. This enables you to meet professionals working in technical areas of your preference. You can find a mentor who might be working in a startup or a budding entrepreneur.
- Alter the resume as per the organisation
Every organisation looks for skill sets to match their requirements. So, it becomes a necessity to have the described skill sets in the resume. It is a known fact that recruiters spend less than a minute to scan through a resume. Adding the required skills to the resume will catch the eye of the recruiter. A resume with general information will not stand out in the competitive job market.
- Writing Blogs
Blogs are a personal space where you can express your learnings, thoughts and share experiences. The blogs related to your skills will gain attention. It is easier to become a part of the community of interested people. People will share their views, their learnings, and also the deviation from the expected to actual. A simple topic can be broken down into simple headings in easy-to-understand language.
- Create a LinkedIn profile and optimise it
Professionals need to make their presence in LinkedIn today. It is common knowledge that recruiters look for a LinkedIn profile before they even approach a candidate. Startups, budding entrepreneurs, and organisations check the profile. So, it would help if you kept the profile updated so as not to miss the internship opportunity.
- Spend time and effort for an internship interview
Spend ample amount of time to present yourself to the interview panel. This is a massive challenge without experience. So, be prepared with the job requirements. Focus on your live projects and present your learnings without hesitation. It does not matter if it is a success or not. What matters is how you tackled the problem, the positive and negative outcomes from the experience. The attitude of taking up challenges is looked for by the organisations.
- Present in a structural manner
Verbal and non-verbal presentation is crucial during the internship interviews. Structural presentation of facts during an interview is a must. Explaining the projects and process of problem-solving to the interview panel is critical. Structured presentation in an easy-to-understand manner would get them to know more about you. So, you need to put in the effort to present in a precise way.
- Be updated about the organisation
Knowledge about the organisation where you are applying for an internship is essential. The organisation's vision, their current area of specialisation, would help get a fair idea of how the work will be. The interview panel appreciates when candidates enquire about the organisation. This also displays your interest. Attitude to do background work by the candidate earns brownie points while clearing interviews.
- Benefits of Internship
The above pointers or tips are much needed to get into the role of interns today. Just a few of them will not be sufficient to get the internship. The internship is a golden opportunity to learn, earn, and bond with motivated professionals. Data Science is a vast field, and it is being explored, experimented with, and utilised in multiple ways. As mentioned above, data science applications vary from retail, manufacturing, education, and media, to name a few. The experience you have gained from your real-time projects to what you gain here will mark a huge difference in your career curve. You get to learn to work in a team as a team member and learn qualities to lead the team. In the meantime, while you also understand various ways to solve problems and share knowledge. Not only will you gain a mentor but also be grooming to be one in the future. Honing coding skills as well as soft skills will build your personality.
In short, an internship is not just a gateway to start a career but an opportunity to build character.
Conclusion
Data Science is emerging as one of the lucrative career options. Candidates need to solve problems by analysing the data with techniques and equations. Just out of college students can pursue data science courses available. Even working professionals who would like to change their career course can give it a try. Candidates need to have a degree in computers, be aware of programming language, to begin with.
