Navigating the Transition: From Electrical Engineering to Data Science

Navigating the Transition: From Electrical Engineering to Data Science
Navigating the Transition: From Electrical Engineering to Data Science

Navigating through the evolving landscape of a data science career can be a daunting journey, filled with questions and uncertainties. Aspiring data scientists often find themselves pondering: What does it take to transition from a completely different field to a data science career? How can one develop proficiency in programming and statistics with minimal background in the field? 

In this article, we delve into these questions and more as we explore the inspiring journey of Ankita Das, who transitioned successfully from Electrical and Electronics Engineering to the field of Data Science.

Q&A session, shedding light on the path from Electrical Engineering to Data Science.

Q1: Can you tell us about your background and what sparked your interest in Data Science? 

I graduated in Electrical and Electronics Engineering in 2017, and though I had minimal exposure to programming or statistics, my interest in Data Science grew over time. I realized the potential it holds and decided to take the plunge in 2022, enrolling in the Certified Data Scientist Course at DataMites to formally begin my learning journey.

Q2: How was your learning experience with DataMites, and how did the instructors contribute to your understanding? 

The learning experience at DataMites was transformative. I was not well-acquainted with programming or statistics, but Shubangi ma’am, my main instructor, guided us brilliantly. Her teaching really helped me gain proficiency in programming, which was initially a challenging area for me.

Q3: Which aspects of Data Science did you find most challenging, and how did you overcome them? 

Python programming was tough, especially coming from a non-technical background. I spent a month grasping the concepts, practicing daily. Machine learning was easier to learn, but statistics had some tricky parts. With time, research, and revision, I managed to get the hang of it.

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Q4: Can you share your daily study routine and the amount of time you dedicated to learning? 

I dedicated 6 to 7 hours daily, ensuring I understood each concept thoroughly. During the project phase, I invested even more time to make sure I was applying the concepts correctly.

Q5: How did you find the project phase of your learning at DataMites, and what role did it play in your journey? 

The data science project phase was crucial. My first project was challenging, but the mentors were extremely supportive. I learned a lot, and it was a practical application of what I had studied. This phase is essential for success in Data Science and is highly valued in job interviews.

Q6: Can you share your job hunting experience and the role DataMites played in it? 

I attended 6 to 7 interviews before landing my current job as an ML Engineer at Cognizant. Each interview was a learning experience, helping me understand what companies look for. The DataMites placement team was invaluable throughout this process.

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Q7: What advice would you give to those aspiring to enter the field of Data Science? 

Don’t be intimidated by programming. Start from the basics, establish a strong foundation, and then advance to more complex topics. Data Science is vast, and setbacks are part of the journey, but persistence pays off.

Q8: How challenging was the transition from Electrical Engineering to Data Science, and what kept you going? 

The transition was indeed challenging, with learning, projects, and data science interviews all posing their own challenges. However, a daily learning routine made the journey smoother.

Ankita Das’s journey from Electrical Engineering to Data Science is a testament to the power of dedication, continuous learning, and the right guidance. Through this Q&A, we have gleaned insights into the challenges faced, the importance of hands-on projects, and the role of persistent effort in achieving success in Data Science. 

DataMites stands as a beacon for aspiring data scientists, offering a plethora of courses including Artificial Intelligence, Data AnalyticsData Engineering, Blockchain, Tableau, Machine Learning, and Python. With physical centers in Bangalore, Chennai, Pune, Hyderabad, Mumbai, and Ahmedabad, and options for online data science training as well as data science offline trainingDataMites invites you to join us on this transformative journey, paving your way to success in the realm of Data Science.

Visit DataMites offline centres at Bangalore, Chennai, Hyderabad, Pune, Ahmedabad, Mumbai and Delhi for demo class.

Watch the complete interview here