BIO STUDENT to DATA ANALYST🔥ZERO Knowledge of Computer Science 🙄 I - M - POSSIBLE 🔥😎!!

Summary

In this motivational podcast, Nidhi shares her inspiring journey of transitioning from a non-technical background in nutrition and sales to a career in data science and IT. She emphasizes the importance of learning new skills, staying motivated, and overcoming challenges, especially when juggling work and study. With determination and consistent effort, Nidhi successfully made the switch to IT, drawing inspiration from her brother in the field. Her story highlights that with the right mindset and perseverance, anyone can shift their career path and thrive, regardless of their starting point.

Takeaways

• 😀 The interview process typically involves 4 rounds: HR round, aptitude test, and 2 technical rounds. The HR round focuses on communication skills.
• 😀 Aptitude tests may include questions on math skills, problem-solving, and basic tool usage like Tableau or SQL.
• 😀 Technical rounds test core knowledge in programming (e.g., Python), SQL, and tools like Tableau. You may be asked to complete coding challenges or data analysis tasks.
• 😀 Machine learning rounds often focus on discussing past projects, theory (e.g., statistics), and reviewing your GitHub profile.
• 😀 Switching domains from a non-tech field to tech is challenging but not impossible. Nidhi transitioned from sales and nutrition to data science.
• 😀 Motivation to switch domains comes from a desire to learn new skills, improve career prospects, and pursue personal interests.
• 😀 Consistency and dedication are key to transitioning into a tech career, even while balancing a full-time job and studying.
• 😀 Inspiration can come from observing others in the tech field. Nidhi's brother’s lifestyle in IT motivated her to pursue a career in tech.
• 😀 Anyone from a non-technical or bio background can succeed in tech with the right mindset and determination.
• 😀 Nidhi emphasizes the importance of continuous learning. She believes if you get the chance to learn something new, you should take it.
• 😀 Nidhi’s story serves as an inspiration, showing that with dedication and perseverance, anyone can break into a tech career, regardless of their background.

Q & A

What motivated Nidhi to switch from a non-tech background to a career in IT?

Nidhi was motivated by her desire to learn new things and improve her life. She was inspired by her brother, who worked in IT, and wanted to work in a field where she could continuously learn and grow, just like him.

How did Nidhi manage to balance a full-time sales job with studying data science?

Nidhi worked for 10 hours a day in her sales job and dedicated 2-3 hours daily to studying data science. Although it was challenging, her dedication and passion for learning kept her motivated.

What types of questions are typically asked during technical interviews for data science roles?

Technical interviews generally cover questions related to Python programming (e.g., lambda functions), SQL skills, and basic Tableau knowledge. Interviewers may also test candidates on machine learning concepts, statistics, and the projects they've worked on.

What role does statistics play in machine learning interviews?

Statistics is crucial for machine learning, and interviewers expect candidates to understand the theory behind it. Questions may cover statistical concepts that are directly applicable to machine learning algorithms and methods.

How important is GitHub in the hiring process for data science roles?

GitHub is an essential part of the hiring process for data science roles. Interviewers often review candidates' GitHub profiles to assess the projects they've worked on and the quality of their code.

What was the most challenging part of Nidhi's transition into IT?

The most challenging part was managing her time between a demanding full-time job in sales and studying data science. Balancing work and study required a lot of effort and commitment.

What advice does Nidhi give to others who want to switch from a non-tech background to tech?

Nidhi advises that anyone, regardless of their background, can transition into IT if they have the motivation, dedication, and a love for learning. She encourages people to embrace challenges and pursue their goals with consistency.

What types of assessments might be included in the aptitude test for data science roles?

Aptitude tests for data science roles may include problem-solving tasks, math skills tests, and sometimes a dataset analysis in tools like SQL, Tableau, or machine learning. Candidates may need to submit their analysis within a day.

How did Nidhi view her past work in sales compared to her current role in IT?

Nidhi realized that while her sales job helped her develop communication skills and understand people's psychology, it didn't offer the same growth opportunities as a career in IT. She was drawn to the continuous learning and development that IT roles provided.

What key skills are important for succeeding in technical rounds during data science interviews?

To succeed in technical rounds, candidates need strong skills in Python programming, SQL, and understanding of basic concepts in machine learning and statistics. Having practical experience with tools like Tableau and GitHub is also crucial.