Undoubtedly, data science is one of the most highly recognised career options these days. The demand for data scientists in this decade (2021–2021) is estimated to increase by 36%. According to Foundit Insights Tracker (FIT) data, in 2024, the hiring of data scientists will expand by 8.3%. A career in data science is a new synonym for success in India, with an entry-level salary upto 8 LPA. Hence, getting into data science has become a dream for several individuals.
You can also kickstart your career in this evolving, demanding, and highly recognised field. Wondering how to get into data science? In this blog, we discussed everything that you need to know to start your career in data science.
Let’s learn them one by one.
What is data science?
Data science is the study of extracting meaningful data from a vast database. It is an approach through which professionals with subject-matter expertise uncover actionable insights to help the organisation grow exponentially.
Data science uses a combined knowledge of mathematics, statistics, specialised programming languages, advanced analytics, artificial intelligence, and machine learning to extract fruitful information.
With tech advancement, businesses receive large databases from different sources, like physical market research, online mediums, and more. It has been essential to identify which data can be fruitful for companies. Its result is that businesses/organisations rely on data science practices, making it one of the top job choices in the 21st century. However, to become a data scientist, you must develop certain skills, including foundational maths and statistics, programming languages, data visualisation, etc.
Skills required to become a data scientist
- Mathematics and statistics
Since data science is rooted in maths and statistics, it’s important to know fundamental mathematics, especially linear algebra, probability, and calculus. Moreover, you also know statistics. Maths and statistics are required to perform advanced work with the help of artificial intelligence and machine learning.
- Analytical Skills
Analytical skills are essential to the role of a data scientist, as these skills help in recognising the suitable dataset and pattern that lead to identifying solutions and offering recommendations to the business. Analytical abilities come with a lot of practice, focus, and experience on live projects.
- Programming languages
The programming language is not a prerequisite skill. However, knowledge of programming languages helps you acquire and process large datasets efficiently using technical tools. You can conveniently gain an entry-level data science job with knowledge of programming languages like Python and R.
- Data Visualisation
As a data science professional, you’ll be required to present the data to stakeholders who might not be very familiar with the data science process. You must have data visualisation skills, like turning data into easily understandable charts or graphs, to help you communicate the insights to non-technical stakeholders.
Refining these skills will help you get into a data science role.
5 Steps to Get into Data Science
- Learn the Data Science Core Skill
First and foremost, to get into any field, one must learn the skill. Nothing can stop you from acquiring a job if you have skills. Get the skills by joining an IT training institute, enrolling in online data science classes, and using YouTube videos and free materials.
- Pursue an Internship
Several organisations, companies, and institutions run internship programs to hire learners. During the internship, you can work on real-time projects under a deadline and with continuous guidance. Use the opportunity to develop your fundamental skills. You can find the internship using various job portals like Internshala, Naukri, Indeed, etc. You can also get the opportunities through LinkedIn, Meetup, etc.
- Build Your Portfolio
The portfolio is essential to gaining an entry-level position in the industry. It shows your ability to work on real-time projects. You can build your portfolio using the projects you have worked on independently and during the internship. The portfolio must contain your quality work.
- Enhance Your Soft Skill
Similar to the core skill of data science, you must work on soft skills. Soft skill is essential to improve to gain a job. Such skills include interpersonal skills, teamwork, problem-solving, time management, etc. These skills will help you crack the interview and work better while performing your job responsibilities.
- Crack the Interview
You can sit for the interviews once you’re confident in your skills. Accept the responses of each interviewer positively and ensure that with the rejection, you don’t lose your confidence. Improve yourself and keep learning from your experience in order to crack the interview. During your interview, trust your skills and stay confident.
Conclusion
Data Science is one of the top career options. Opting for it as a career option can be a great opportunity. However, to break into the field, you need to learn analytical, statistical, and mathematical skills, build your portfolio, and gain enough knowledge, experience, and confidence to crack the interview. You can join IT training courses from reputed institutes to learn the skills. Several IT training centres help you understand the core skills, improve your soft skills, and provide placement assistance.
🚀 Beyond Machine: Master Data Science in 3 Months! 🌟
✨ Seize the opportunity – contact us now to accelerate your AI career! 📈💻
💼 Tesseract Academy: Elevate Your Data Intelligence! 🌐
🔥 Tesseract Academy offers top-tier education, consulting, and implementation services. Designed for executives and non-technical professionals, our programs empower you to understand and implement technologies like AI, data science, and blockchain.
✨ Join us and enhance your skills with our comprehensive data science courses. Your success story begins at Tesseract Academy! 🚀🌟
