From 0 in Coding to Data Analyst in 6 Months | How much coding do you need

TL;DR

Nidhi, a data analyst with a biology background, shares her journey of learning coding from scratch and cracking an IT job in just 6 months. She emphasizes the importance of specific skills, such as Excel, SQL, and Python, for becoming a data analyst.

Transcript

I didn't know coding at all. So, yeah it took 6 months, And what are the things we have to study, which subjects, everything we have to learn, for an interview. So, to become a data analyst, actually you have to know Excel, the basic thing, apart from that, you have to know SQL, and some not all companies have a requirement for Python. So, if you k... Read More

Key Insights

• 👨‍💻 Learning coding and programming languages like Python is essential for a data analyst role.
• 🏑 Specific skills like Excel, SQL, and data visualization tools like Tableau and PowerBi are highly sought after in the field.
• 😀 Facing rejections during the interview process is common but should not deter one from pursuing their goals.
• 🏑 Continuous learning and staying updated with industry trends are crucial for growth in the data analytics field.
• 🍘 Nidhi's journey emphasizes the importance of perseverance and a strategic approach to crack an IT job, even with a non-technical background.
• 🧡 Salaries for fresher data analysts range from 4 to 8 lakhs per annum, with the potential to earn higher based on skills and experience.

Questions & Answers

Q: What are the key skills required for becoming a data analyst?

To become a data analyst, you need to have proficiency in Excel, SQL, Python, and data visualization tools like Tableau and PowerBi.

Q: How much time does it usually take to prepare for a data analyst role?

Nidhi mentions that it took her around 6 months to learn the basics and crack a job as a data analyst. However, the learning process can be ongoing as data science and analytics require continuous learning.

Q: Did Nidhi face any challenges while learning programming?

Nidhi admits that learning programming, especially Python, was challenging at first. However, with practice and a logical mindset, she became comfortable with it within 15-20 days.

Q: How did Nidhi handle rejection during the interview process?

Nidhi faced rejections and initially struggled with interviews due to her non-technical background. However, she took rejection as a learning opportunity and improved her approach with each interview, eventually landing a job as a data analyst.

Key Insights:

• Learning coding and programming languages like Python is essential for a data analyst role.
• Specific skills like Excel, SQL, and data visualization tools like Tableau and PowerBi are highly sought after in the field.
• Facing rejections during the interview process is common but should not deter one from pursuing their goals.
• Continuous learning and staying updated with industry trends are crucial for growth in the data analytics field.
• Nidhi's journey emphasizes the importance of perseverance and a strategic approach to crack an IT job, even with a non-technical background.
• Salaries for fresher data analysts range from 4 to 8 lakhs per annum, with the potential to earn higher based on skills and experience.
• Learning resources like YouTube, online courses, and coding platforms can be valuable for self-study and skill development in data analytics.

Summary & Key Takeaways

• Nidhi, with no coding experience, learned coding from YouTube and online courses to become a data analyst in an IT company.

• Key skills required for a data analyst include Excel, SQL, Python, and data visualization tools like Tableau and PowerBi.

• Nidhi's journey involved facing rejections and overcoming challenges, but with perseverance, she was able to land a job as a data analyst.