How to Get Data Science Job as a Fresher

What drives someone to take their first steps toward a career in data science? How does one navigate the transition from an educational background to thriving in the competitive world of data science jobs? So here lies the real question;

How can freshers switch to Data Science?

For freshers aspiring to transition into the dynamic field of data science, the journey begins with a strategic blend of foundational learning and practical experience. Building a portfolio of personal projects or taking part in internships can provide hands-on experience. By combining theoretical knowledge with real-world application and a proactive approach to skill-building, freshers can unlock the doors to a promising career in data science.

Meet Rauful Azam, a student at DataMites who attended our Certified Data Science Courses. Starting as a newcomer, he made a remarkable career transition to become a data scientist at Diatoz: Digital A to Z Solutions. While learning he actively engaged in projects centered around artificial intelligence and machine learning, showcasing his ability to quickly adapt and excel in the field. His path is not just inspiring but gives insightful hope that could pave the way for others.

DataMites conducted an interview with Mr. Rauful to uncover the key factors that facilitated his significant career change. Let’s explore the insights that led to his impressive transition in his professional journey.

Refer these below articles:

• Data Science Courses for Freshers, Working Professionals,and C-level Executives
• How Data Science is Shaping the Healthcare Industry
• Data Science in E-Commerce – Revamping the Shopping Experience

Q) Rauful, could you tell us a little about yourself? And how did you hear about DataMites in the first place?

I have a bachelor’s degree in engineering with a specialization in computer science. I was utterly unsure about what I should do with my job after finishing my degree. That’s when I chose to go with the most popular ‘data science.’ I began looking for data science institutes and discovered DataMites to be at the top of the list.

Q) As a data scientist, what are your current roles and responsibilities?

I got a job as a data scientist in Diatoz: Digital A to Z Solutions, which is a start-up company that was started in 2018. I had the opportunity to work on projects involving machine learning and artificial intelligence.

Q) How was your learning experience using DataMites?

I enrolled in DataMites’ certified data scientist program. The training is tailored for newcomers like myself, and joining DataMites gave me a lot of exposure to the subject, which helped me advance my career in the field.

Q) What is your learning strategy to become a data scientist? What resources did you find to be most useful?

Joining DataMites provided me with a route to follow. I paid close attention to what my DataMites instructors said in each class. Assume they took a linear regression or machine learning class. To have a better understanding of these concepts, I began googling various facets and applications. I looked for videos on YouTube about the themes.

I also looked at numerous job descriptions for these jobs, recognizing the abilities that employers were looking for in candidates and attempting to instill them in myself. Making my projects as one-of-a-kind as possible to stand out from the crowd was my strategy.

Q) How long did it take you to prepare for the interview? Please tell us about your experience.

The interview procedure is divided into four parts. The first is a telephonic interview, in which the interviewer will ask for an introduction and project specifics. After that was a video testing round, where the interviewer asked me about python and Pyspark. The third round was more technical, with questions regarding machine learning, neural networks, python, and deep learning, as well as in-depth questions about how my project proceeded and what I did. The HR round is the final phase, in which your personality is assessed. You will be judged on your abilities and knowledge.

Read these below articles:

• Journey from Mechanical Engineering to Data Science Career
• A Journey from Fresher to Data Scientist

Q) Through which channels did you apply for a job?

I had made profiles on LinkedIn, Naukri, Indeed and Edyst.com. My application was shortlisted through Edyst.

Q) Which aspect of the DataMites Course was the most beneficial to you?

DataMites’ trainers are experts in the field, and they thoroughly explain everything in great detail. The DataMites course aided me in every aspect. Ashok sir had taught us statistics, and he did an excellent job of covering all of the concepts. Python and machine learning were two other topics taught by Suhail sir that I thoroughly loved learning.

Q) Now that you’ve successfully transitioned into a data science field, what advice do you offer to prospective candidates?

My advice to all aspiring data scientists is to begin applying for jobs from the very beginning of your learning course. Make a point of applying for at least five jobs on each employment portal. As you gain new abilities and competencies, continue to improve and change your resume. One method that could help you be shortlisted is to modify your CV to match the job requirements. Make sure to take on projects that will set you apart from the herd.

Watch Full Interview here

Conclusion:

One key takeaway from Rauful Azam’s journey is that it is indeed possible for someone with a non-traditional background or as a fresher to transition into a data science career. The realm of data science values skills and aptitude over rigid qualifications. As long as one is willing to put in the effort to learn, adapt, and showcase their abilities, they can make a successful switch into this field. Rauful participated in a 8-month Data Science training provided by DataMites. This course equipped him with the essential technical skills, knowledge, and industry-relevant insights necessary to thrive in the field.

DataMites is a global training institute in the field of data science and data analytics education, offering comprehensive training and recognised IABAC certification programs. With a focus on equipping individuals and organizations with cutting-edge skills, DataMites provides a diverse range of courses encompassing data science, machine learning, artificial intelligence, and related disciplines.

Students in DataMites are provided with expert faculty, hands-on approach, and industry-relevant curriculum to empower them to make informed decisions and drive innovation in today’s data-driven world. DataMites offers both online data science course and offline data science course formats, catering to the flexible preferences of students in different locations including Bangalore, Pune, Chennai, Hyderabad, Mumbai, Ahmedabad, etc.