Drop any CSV. See SQL, Python, statistical tests, and ML — explained at every step. Free for students.
Why learning data science is hard
SQL syntax errors stop you cold before you even see results
Ask in plain English — see the SQL generated and learn from it
Statistical concepts like p-values feel abstract in textbooks
Run a t-test on your own data and read the result in plain English
Tableau costs $70/mo, Jupyter takes hours to set up
Free tier. Works in browser. Upload and analyze in under 60 seconds
How you actually learn
Ask “show top products by revenue” → get this:
SELECT product, SUM(revenue) AS total FROM df GROUP BY product ORDER BY total DESC LIMIT 10
result = (
df
.groupby('product')['revenue']
.sum()
.sort_values(ascending=False)
.head(10)
.reset_index()
)What WorkLiq gives students
1 dataset, 50 queries per month, full SQL + Python output, all chart types. Enough for your entire semester project without spending a rupee.
Every answer shows the SQL query that ran and the equivalent pandas code. Copy it, modify it, run it in your own Jupyter notebook — that is how you actually learn.
t-test, ANOVA, chi-square, Shapiro-Wilk, Pearson correlation — all with a plain English interpretation at grade-10 reading level. Know what p < 0.05 means for your data.
Cell-based notebook interface. Mix queries, markdown explanations, and outputs. Export as JSON (nbformat-compatible) or PDF. Submit your analysis as a notebook.
Student story
Kavya Nair, MBA (Analytics), IIM Kozhikode
Final-year student — dissertation on retail pricing strategy
"I had a 50,000-row dataset for my dissertation and no idea where to start. WorkLiq ran a health check, flagged 3 data quality issues, and suggested 5 questions to ask. I ran an ANOVA on pricing segments and got the p-value with an explanation I could actually put in my report. The SQL and pandas code meant my professor could verify every number. I finished my analysis chapter in one afternoon instead of two weeks."
2 wks
analysis cut to one afternoon
50k
rows analyzed with free plan
ANOVA
ran with one click, zero code
Upload any CSV. See SQL + Python on every result. Run statistical tests. Free tier, no credit card, no setup.
Try with sample data →Free tier: 1 dataset, 50 queries/month. No card required.