How to Get into Data Analytics from a Different Background?

In a world fueled by data, stories of individuals who make successful career transitions into data-driven roles are both inspiring and enlightening. Imagine going from a non-technical background to becoming a proficient Data Analyst—what challenges might one face? How does one navigate the complexities of data science without prior expertise? 

How to get into Data Analytics field from a different Background?

Transitioning to a career in data analytics from diverse backgrounds offers a unique blend of challenges and opportunities. Regardless of one’s prior professional experience, making this shift demands a strategic approach and a commitment to acquiring relevant skills. Individuals from non-technical fields can leverage their existing strengths, such as problem-solving, communication, and critical thinking, as foundations to excel in the domain of  data analytics.

Introducing Ashmitha Shetty who is from Mangalore and holds a bachelor degree in Information science. Her story of career transformation from being a Quality Analyst at Amazon to becoming a Data Analyst at Sagas IT is a testament to the power of determination, skill-building, and seizing opportunities. She enrolled in the DataMites data science course that facilitated her career transition journey.

Refer these below articles:

• Data Science vs. Big Data vs. Data Analytics – Know the Difference
• Data Science Vs Data Analytics
• Data Engineer vs Data Analyst

DataMites held an interview with Ashmita Shetty to uncover her remarkable career transition. Let’s delve into the perspectives that guided her noteworthy progression in his professional trajectory.

Q) Hi Ashmitha, could you kindly tell us about your background?

I am basically from Mangalore, and I graduated with a bachelor’s degree in Information Science in 2018. I had worked as a quality analyst at Amazon for three years. Currently, I work at Sagas IT as a Data Analyst.

Q) How was your learning process at DataMites?

It was in 2021 that I joined the DataMites for Data Science Course. Except for the fact that data science is a trendy topic, I had no idea what it was. The trainers from DataMites guided me from head to toe, and I greatly benefitted from the study materials they provided. Apart from that, I followed youtube channels like Krish Naik and Pre-Code Camp as well as Kaggle, to understand more about the domain.

Q) Did you have practical knowledge of statistics before joining the DataMites Course?

No, I started my first job with a completely non-technical profile. I had a rudimentary understanding of programming, but not much. Joining DataMites aided me in gaining proficiency in the programming languages such as Python, which was a foreign language to me at the time, and statistics, which was a difficult subject for me.

Q) Which channel helped you the most for data science job applications?

I used LinkedIn but it didn’t help that much. However, the Placement Assistance Team at DataMites were very helpful and guided me every step of the way. I got to land a job through PAT directly. 

Read these below articles:

• How to Get Data Science Job as a Fresher
• A Journey from Fresher to Data Scientist
• Journey from Mechanical Engineering to Data Science Career

Q)  In your current position, what types of interview questions have you faced?

My first round of interviews was an assessment of SQL, general aptitude and python. Following that was a face to face interview with the CEO of the company where I was asked about python and visualization tools. 

Q) How did you prepare for the interviews?

Actually, I had prepared for 3 interviews within a span of 15 days after DataMites Training, of which the first two unfortunately I didn’t get. I focused more on the topics that I was unable to confidently answer during the interviews. And it was during the third one that I was chosen and offered a position with Sagas IT.

Watch the complete interview here

Conclusion

Ashmitha Shetty’s journey from a quality analyst to a proficient Data Analyst exemplifies the possibilities that open up through reskilling and determination. She participated in a rigorous 8-month data science course from DataMites that enabled her to master an impressive career shift. Following her training, she diligently prepared for three interviews in just 15 days and her persistence paid off as she successfully secured the Data Analyst position at Sagas IT.

DataMites, a globally acclaimed training provider provides  comprehensive courses, guidance, and placement assistance proved pivotal in her career transition. Aspiring data enthusiasts looking to follow a similar path can explore the diverse courses offered by DataMites, backed by IABAC Certification, and choose from a range of offline data analyst and online data analyst training. Ashmitha’s story is a testament to the transformative power of education and the doors it can open in the dynamic world of data analytics.