"I found it while Googling for online data analytics courses. I read the reviews, checked the course content, and also looked into the mentors' backgrounds. Everything just clicked for me." — Pramod
Pramod was born and brought up in Mumbai and completed his engineering in Information Technology at a college in Chembur. He worked as an analyst using Tableau, SQL and Python — until the project ended and he had to resign. While job hunting, he enrolled in Jobaaj Learnings' Data & Business Analytics Program to deepen skills he already had in part. He is now placed at EY (Ernst & Young).
If you are searching “is Jobaaj Learnings genuine”, “is Jobaaj real or fake” or “is the data analytics course worth it”, read Pramod's account for what it actually is: a working analyst between jobs using a course to deepen existing Tableau and SQL skills, who then landed at EY. He rates the course content 10/10 and names his mentor. He does not describe the placement process, his job title at EY, or a salary — so what this evidences is the training, not a placement pipeline. Read it alongside the other conversations in our Interview Series and the wider feedback on the reviews page.
Key Takeaways: Pramod's Jobaaj Learnings Review
- Profile: engineering graduate in Information Technology, from Mumbai. Not a non-technical background.
- Already an analyst. He had worked professionally with Tableau, SQL and Python before enrolling.
- Why he enrolled: his project ended, he had to resign, and he wanted deeper knowledge for long-term growth while searching for the next role.
- How he chose it: a Google search, then reading reviews, checking the syllabus, and researching the mentors' backgrounds before committing.
- What he rates highest: the sessions by Shiva — detailed and beginner-friendly — the weekend live classes, and the Excel practice sheets issued after each class.
- Outcome: placed at EY (Ernst & Young). Job title not stated, salary not disclosed.
- Rating: a full 10/10 for the course content specifically.
- His view on beginners: curiosity plus basic Excel is enough to start, and even zero prior knowledge is workable.
Who Is Pramod? An Analyst Between Projects
Pramod is from Mumbai and completed his engineering in Information Technology at a college in Chembur. After graduating he worked as an analyst, and his stack there is the same one the course teaches:
- Tableau
- SQL
- Python
Then the project ended. In his words: “Once that project ended and I had to resign, I started looking for a new opportunity.”
That is the situation he was in when he enrolled — an experienced analyst out of work because a project closed, not a beginner entering the field. Worth holding onto when reading the outcome.
How He Chose the Course
Pramod's selection process is worth copying regardless of which programme you end up choosing:
"I found it while Googling for online data analytics courses. I read the reviews, checked the course content, and also looked into the mentors' backgrounds."
Three checks — reviews, syllabus, and who is actually teaching it. The third is the one most people skip, and given that his strongest praise is for a specific mentor's teaching, it is the one that paid off for him.
His stated reason for enrolling despite already knowing the tools: “I was already familiar with some tools like Tableau and SQL, but I wanted to gain deeper knowledge — especially for long-term career growth.”
What He Rated Most Highly
- Shiva's sessions. His description: detailed and very beginner-friendly — and he notes that a fresher would find them easy to follow.
- Weekend live classes. “They made complex topics much easier to understand.” Engaging, and they simplified the material.
- Excel practice sheets after class. He calls these “super helpful” — a small, unglamorous detail, and the sort of thing that only gets mentioned when it genuinely made a difference.
Asked to rate the course content out of 10, he gave a full 10: “The course content was exactly what I needed.”
Note the scope of that rating. He was asked specifically about course content, and that is what he rated. He was not asked to rate placement support, and he does not describe it anywhere in this conversation.
Can Someone Without a Technical Background Do This?
Pramod was asked this twice, and his answers were consistent:
On needing to be strong in Excel first: “Honestly, no. I believe anyone with the curiosity to learn and a basic understanding of Excel can start. The course is designed to take you from basics to advanced level.”
On starting from zero: “Yes, absolutely. You can start from scratch. The course gives you a new way of learning, and the support system helps you build your foundation from the basics.”
The Outcome: Placed at EY
Pramod is now placed at EY (Ernst & Young). That is the extent of what the conversation records:
| Detail | On record? |
|---|---|
| Employer | Yes — EY (Ernst & Young) |
| Job title | Not stated |
| Salary or package | Not disclosed |
| How he got the interview | Not described |
| Time from course to offer | Not stated |
A named employer of that size is real, checkable evidence. But the mechanism — whether placement support sourced the role or he found it himself — is simply not covered in this conversation, and we are not going to fill the gap with an assumption.
Pros and Cons, Based on Pramod's Account
What worked:
- Teaching he rates as detailed and accessible even for freshers
- Weekend live classes that made complex material tractable
- Excel practice sheets issued after each session, so the learning was applied not just watched
- Course content he rates a full 10/10 against what he needed
- Depth added to tools he already used professionally
Data Analyst Interview Questions and Model Answers
Walk us through a recent project using data analytics tools.
Model answer: A sales analysis identifying regional trends and top-performing products — SQL to clean and filter the data, Excel for quick calculations and sanity checks, and Tableau to build dashboards showing sales distribution and profitability by region. The useful part was not the dashboard but deciding which two questions it needed to answer.
Write a query to fetch the second highest salary.
Model answer: The straightforward version, which works on any SQL dialect:
SELECT MAX(salary) AS second_highest_salary FROM employees WHERE salary < (SELECT MAX(salary) FROM employees);
Be ready to follow up on how you would handle ties, or generalise it to the Nth highest using a window function.
How do you handle missing data?
Model answer: It depends on how much is missing and whether the gaps look random. If minimal and random, dropping the rows is defensible. If substantial, mean or median imputation, forward-fill for time series, or a domain-informed value — but state which you used, because the choice changes what the analysis is allowed to claim.
What's the difference between INNER JOIN and LEFT JOIN?
Model answer: INNER JOIN returns only rows that match in both tables. LEFT JOIN returns every row from the left table, with NULLs in the right table's columns where there is no match — which is how you find the records that are missing a match, not just the ones that have one.
Which Excel functions do you use most?
Model answer: VLOOKUP and INDEX-MATCH, IF, SUMIFS, COUNTIFS, and pivot tables for cleaning, filtering and aggregating. Excel is also where I validate SQL output — recomputing a figure a second way catches errors that reviewing the query does not.
Have you used BI tools other than Tableau?
Model answer: My hands-on depth is in Tableau, with some exposure to Power BI. The underlying concepts — data model, measures, filters, drill-downs — carry across, so picking up a team's existing tool is a matter of weeks rather than months.
What makes a good dashboard?
Model answer: Clean, interactive, and it tells a story. It should answer the business's key questions without burying them in charts. Filters and tooltips so the reader can interrogate it themselves, clear KPI framing, and nothing on the canvas that nobody would act on.
What Pramod's Experience Suggests
- Research the mentors, not just the syllabus. He did — and the teaching is what he ended up rating highest.
- A course is a reasonable move between jobs. He enrolled after a project ended, using the gap to deepen skills rather than only applying.
- Practice material matters more than lecture hours. The Excel practice sheets are among the three things he singles out.
- Depth beats breadth if you already know the tools. He knew Tableau and SQL and enrolled specifically to go deeper.
- Ask about placement support separately. His 10/10 is for course content; the placement side is not covered here, so verify it independently.
Full Podcast Transcript
The complete conversation, unedited.
Podcaster: So Pramod, my name is Harshit. I head the digital marketing team at the Jobaaj Group. First of all, thank you so much for taking time out of your schedule to join us on this call. The purpose of this call is to hear about your journey with Jobaaj Learnings and get your feedback. But before we dive in, could you start by telling us about your educational background, and where you're from?
Pramod: Sure. I was born and brought up in Mumbai. I completed my engineering in Information Technology from a college in Chembur. After graduation, I worked as an analyst, where I focused on Tableau, SQL, and Python.
Once that project ended and I had to resign, I started looking for a new opportunity. During that phase, I came across Jobaaj Learnings online. I was already familiar with some tools like Tableau and SQL, but I wanted to gain deeper knowledge — especially for long-term career growth. The course content and the reviews really stood out, and I felt it matched what I was looking for.
The experience was great! The sessions by Shiva Sir were detailed and very beginner-friendly. I especially appreciated the weekend live classes — they made complex topics much easier to understand. Also, the Excel practice sheets provided after classes were super helpful.
Podcaster: How did you actually find out about Jobaaj Learnings?
Pramod: I found it while Googling for online data analytics courses. I read the reviews, checked the course content, and also looked into the mentors' backgrounds. Everything just clicked for me.
Podcaster: Awesome. Now, one question we often get — can someone from a non-tech background get into data analytics? Do they need to be very strong in tools like Excel and Google Sheets from the start?
Pramod: Honestly, no. I believe anyone with the curiosity to learn and a basic understanding of Excel can start. The course is designed to take you from basics to advanced level. So even if someone doesn't know much to begin with, they can still succeed.
Podcaster: That's reassuring. And what about those who have zero prior knowledge of Excel or analytics? Can they still make a career in this field?
Pramod: Yes, absolutely. You can start from scratch. The course gives you a new way of learning, and the support system helps you build your foundation from the basics.
Podcaster: So Pramod, where are you currently placed now?
Pramod: I'm currently placed at EY (Ernst & Young).
Podcaster: That's amazing! Huge congratulations from our side. Now, if I ask you to rate the Jobaaj Learnings course content on a scale of 1 to 10, what would it be?
Pramod: I'd give it a full 10. The course content was exactly what I needed. It really helped me a lot.
Podcaster: And how was your experience with your mentor and the live classes?
Pramod: The mentor's teaching style was great — very helpful and beginner-friendly. Even if someone is a fresher, they'll find it easy to understand. The live classes were engaging and simplified everything.
Podcaster: Is there anything you'd like to say to students watching this podcast who are still deciding whether or not to start their career in data analytics? [the recording ends here]
Frequently Asked Questions
Is Jobaaj Learnings genuine, or is it fake?
This page documents one recorded case: Pramod, an IT engineering graduate and working analyst, who took the Data & Business Analytics Program between jobs and is now placed at EY. The employer is named on camera and he rates the course content 10/10. His job title, salary and how the opportunity reached him are not stated. See the wider review set on the reviews page.
Did the course get him the job at EY?
The conversation does not say. He is asked to rate the course content, not the placement support, and never describes how the EY opportunity came about. What is evidenced here is the training.
Can you get into data analytics without a technical background?
Pramod's view is yes — curiosity and basic Excel are enough to start, and the course runs from basics to advanced. Bear in mind that he is an IT engineering graduate who had already worked as an analyst, so that is his assessment of the material rather than a report of his own path.
What's the most useful part of the course?
For Pramod: the weekend live classes, his mentor's teaching style, and the Excel practice sheets provided after each session.
Is the course useful if you already know SQL and Tableau?
That was exactly Pramod's position. He enrolled to deepen tools he already used professionally, and rated the content a full 10 against what he needed.
How should I evaluate an online analytics course before enrolling?
Pramod's own method: read the reviews, check the course content in detail, and research the mentors' backgrounds — the last being the one he ended up valuing most.
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