Alpesh’s Journey from Fresher to Data Analyst
Discover Alpesh’s inspiring journey from fresher to Data Analyst and how the right IT courses, practical training, internships, and consistent practice helped him secure his first job. Learn the key skills, tools, and strategies that made his transition into data analytics successful.
Breaking into the data analytics field as a fresher can feel overwhelming, especially for students from non-technical backgrounds. Alpesh’s journey from a B.Com graduate to a Research Analyst proves that with the right training, consistent practice, and determination, transitioning into a data analyst career is absolutely achievable.
Alpesh’s Data Analyst Inspiring Journey as a Fresher
Alpesh’s inspiring journey as a fresher into data analytics proves how the top IT courses in Ahmedabad, combined with dedication, hands-on practice, and industry-focused training, can transform a beginner into a confident Data Analyst ready to succeed in today’s competitive job market.
1. Can you introduce yourself and your background?
Alpesh:
My name is Alpesh Saka, and I am basically from Palampur, Gujarat. I completed my B.Com graduation in 2023. After graduation, I decided to build my career in data analytics and joined a data analysis course in Ahmedabad. After completing the course and internship, I got placed as a Research Analyst (UBP1 role). This is my first job.
2. Why did you choose data analytics after B.Com?
Alpesh:
I was mainly interested in working with data, especially in Excel. I enjoyed cleaning data, creating dashboards, and visualizing data using Excel charts and Power BI. I like transforming raw data into meaningful insights that help in better decision-making. That’s what motivated me to enter the data analytics field.
3. Did you research before joining the course?
Alpesh:
Yes, I researched on Google and explored different institutes offering data analytics training. After comparing options, I chose the top data analytics training institute in India that matched my learning expectations and career goals.
4. What skills did you learn during your data analyst training?
Alpesh:
- During the training, I learned:
- Excel for data cleaning and analysis
- SQL for extracting data from servers
- Power BI for dashboard creation
- Data visualization techniques
- Generating insights from raw datasets
These technical skills helped me understand how real-world data projects are executed.
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5. Tell us about your internship experience.
Alpesh:
During my internship, I worked on multiple real-time projects such as:
- Prediction analysis
- Customer data analysis
- HR data analysis
- Integration projects
I learned how to handle real datasets, clean data, create dashboards, and extract actionable insights. The internship gave me hands-on experience, which increased my confidence significantly.
6. Were you able to implement your training knowledge in projects?
Alpesh:
Yes. I applied SQL to extract data from servers, used Excel for cleaning and transformation, and built dashboards in Power BI. I also presented insights using PowerPoint. Most of the techniques I learned during training were implemented in my internship projects.
7. How was your interview process?
Alpesh:
The interview had three rounds:
- Round 1 – Practical Round:
I was given a dataset and asked to analyze it.
- Round 2 – Managerial Round:
They asked about my skills and explained the job role.
- Round 3 – Final Discussion:
This was the HR/final discussion round.
Since Excel was one of my strongest areas, it helped me perform well during the interview.
8. What is your current role and responsibility?
Alpesh:
My role is Research Analyst. I research and analyze data to generate meaningful insights that support decision-making.
9. How important is practice in data analytics?
Alpesh:
Practice is the most important part of becoming a data analyst. Data analytics is practical, not theoretical. I used to attend sessions and then practice for a few more hours at home. Consistent practice helped me strengthen my skills.
10. Any advice for freshers who want to enter data analytics?
Alpesh:
Only one advice Practice, Practice, Practice.
Focus on Excel, SQL, and Power BI. Work on real datasets and projects. That is the key to success in data analytics.
Key Findings from Alpesh’s Journey:
DataMites Success Stories continue to inspire aspiring professionals, and Alpesh’s journey from a fresher to a Data Analyst highlights the power of structured learning, practical exposure, and consistent dedication.
1. Career Transition is Possible with the Right Foundation: Alpesh’s journey proves that even non-technical graduates can successfully transition into data analytics. Building strong fundamentals especially in tools like Excel can significantly improve both understanding and interview performance, making the shift into analytics smoother and more achievable.
2. Practical Exposure Builds Job Readiness: Hands-on internships and real-time projects played a crucial role in shaping Alpesh’s confidence and technical skills. Working with real datasets helped him strengthen problem-solving abilities and understand how analytics is applied in real business scenarios.
3. Mastering Core Tools is Essential: For entry-level data analyst roles, proficiency in SQL, Excel, and Power BI is vital. Alpesh’s focus on these essential data analyst tools helped him meet industry expectations and perform practical dataset analysis during interviews.
4. Consistency and Insight-Driven Thinking Matter: Consistent daily practice emerged as the most important success factor in his journey. Beyond technical skills, learning how to extract meaningful insights from raw data became a core strength that set him apart from other candidates.
5. Communication and the Right Guidance Accelerate Success: Presentation skills, including the effective use of PowerPoint, added additional value to his profile. With the right training, structured guidance, and strong dedication, freshers can confidently secure their first job in the data analytics field within a short time.
Entering the data analytics field as a fresher can seem challenging, especially without a technical background. However, with structured training, hands-on project experience, and consistent practice, all in affordable cost for data analytics course in Ahmedabad it is possible to build a successful career in data analytics. This article highlights Alpesh’s journey from a B.Com graduate to a Research Analyst, showcasing how skill development, internships, and determination helped him launch his data analyst career.
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DataMites Institute is a leading IT training provider offering comprehensive Data Analyst courses in Delhi, along with specialized programs in Data Science, Artificial Intelligence, Machine Learning, Python, and IoT. With a strong focus on hands-on training, live projects, internships, and dedicated placement assistance, DataMites ensures learners gain industry-relevant, job-ready skills. The institute also provides globally recognized certifications accredited by IABAC and NASSCOM FutureSkills.
Beyond its Data Analytics course in Ahmedabad, DataMites offers flexible, industry-aligned learning programs across key cities such as Bangalore, Chennai, Pune, Mumbai, Ahmedabad, and Indore, enabling aspiring professionals to build successful careers in analytics and emerging technologies.