Landing a data analytics job isn’t just about listing tools on your resume —
It’s about proving you can use them to solve real problems. That’s where job simulations come in. They give you a risk-free way to experience the day-to-day work of data analysts at some of the world’s leading companies.
Here are free five of the best data analytics job simulations available on Forage, including three I’ve personally completed. I’ll share my experience, time commitment, and why they’re worth it. Plus, insights from others who’ve taken these simulations!
1. Quantium — Data Analytics
Complexity: Medium
Tools: R, Python, or Excel
Estimated Time: ~5–8 hours (but it took me a week)
Link to my detailed article
Quantium’s simulation was a deep dive into the life of a data analyst working with large datasets. The tasks focused on exploring customer transaction data to derive insights for business strategy. While Forage suggests completing this in under 8 hours, I spent closer to a week perfecting my approach.
The biggest challenge? Handling the massive dataset. Excel struggled to keep up, so I quickly pivoted to R programming. (Pro tip: Skip Excel entirely and save yourself the frustration.) This simulation didn’t just test my technical skills; it pushed me to think like a decision-maker.
Why I loved it:
It was intense but rewarding. By the end, I felt like I’d just wrapped up a real project for a high-stakes client. This simulation helped me appreciate the complexity of big-company operations.
Others’ experience:
Quantium’s program has been taken by over 100,000 participants on Forage, and many echo my sentiment — it’s a tough but transformative learning experience.
2. PwC — Power BI

Complexity: Beginner-Friendly
Tools: Power BI
Estimated Time: ~5–6 hours (It me took three days)
Link to my detailed article
PwC’s Power BI simulation focuses on creating dynamic dashboards that tell compelling stories. The task is to analyze data for a fictional client and build visuals that offer actionable insights.
When I completed this, I was blown away by how much I learned about Power BI. It wasn’t just about clicking around the software — it was about understanding what decision-makers want to see. I spent hours tweaking visuals to make them clear and impactful, and it gave me a taste of what real consulting work feels like.
Why I loved it:
This simulation was a confidence booster. It felt like stepping into PwC’s office and working on one of their projects.
Others’ experience:
PwC’s simulation is one of Forage’s most popular, with over 200,000 participants. Many praise it for being beginner-friendly while offering meaningful insights into consulting.
3. Commonwealth Bank — Introduction to Data Science

Complexity: Easy
Tools: Python or Excel
Estimated Time: ~4–6 hours (Real time: about 2 days for me)
Link to my detailed article
Commonwealth Bank’s simulation is a perfect introduction to data science for anyone just starting out. The tasks included cleaning datasets, performing exploratory data analysis, and presenting findings.
For me, it was an eye-opening experience. I loved how the simulation broke down complex concepts into manageable steps. By the end, I felt I’d gained a solid understanding of how data scientists approach problems in the real world.
Why I loved it:
This simulation was less about technical challenges and more about building a structured approach to data science. It was beginner-friendly, but I still learned plenty.
Others’ experience:
This program has been taken by tens of thousands of participants who describe it as a great starting point for anyone curious about data science.
4. TATA — Data Visualization: Empowering Business with Effective Insights

Complexity: Advanced
Tools: Tableau or Power BI
Estimated Time: ~6–8 hours
This simulation emphasizes the importance of visual storytelling. The tasks focus on creating dashboards that not only look great but drive business decisions.
Participants rave about how it balances creativity with technical skills. If you’re ready to move beyond basic charts and start building visuals that influence business strategy, this one’s for you. You can try it here.
5. British Airways — Data Science

Complexity: Advanced
Tools: Python or R
Estimated Time: ~8–10 hours
This simulation challenges you to analyze airline operations data and solve problems like demand forecasting. It’s designed to mimic the high-pressure environment of a global airline, making it perfect for those ready to push their limits. You can try it here.
Why Job Simulations Work
These simulations aren’t just practice — they’re proof. They show recruiters that you’ve tackled real-world challenges and succeeded. Plus, you’ll gain confidence in your skills, which is crucial when applying for competitive roles.
Why Long Simulations Still Work
Even in today’s fast-paced world, people invest time in long simulations when they’re exceptionally immersive and valuable. Programs like Quantium’s and PwC’s go beyond basic tasks — they recreate what it’s like to work at a top company. That level of realism keeps participants engaged, no matter how long it takes.
Ready to Get Started?
If you’re serious about a career in data analytics, start with one of these job simulations. Whether you’re a beginner or looking to sharpen advanced skills, these programs will prepare you for the challenges ahead — and help you stand out to recruiters.
Pick a simulation today, and take the first step toward your dream job.
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