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Read More →Download the data analyst project ideas PDF from Uncodemy: beginner to advanced project ideas with data sources, skills and what to show.
This page offers Uncodemy's data analyst project ideas as a PDF download. The ideas are grouped by level and each lists the business question, the kind of data to look for, the method and the deliverable. Use public data, state clearly that it is a practice project and focus on a recommendation rather than only a chart.
The download below is its own file. It groups project ideas by level, with the question, method and deliverable for each, plus tips on scope and presentation.
Beginner to advanced project ideas, each with the business question, the data to look for, the method and the deliverable, plus tips on scope and presentation.
A good project idea starts from a question someone could plausibly ask at work, not from a dataset or a tool. It has data you can legally obtain, a clear scope you can finish in two to four weeks and a deliverable you can show: a dashboard, a notebook or a short report. It also leaves room for your own judgement, such as choosing metrics, handling messy data and deciding what to recommend. The ideas below follow this pattern. Each is a seed to adapt, so add your own angle and local context.
| Idea | Question | Method | Deliverable |
|---|---|---|---|
| Retail sales summary | Which products and months drive revenue? | Clean the data, pivot by product and month, chart trends | Workbook with a summary sheet |
| Student performance analysis | What factors relate to higher scores? | Group averages, correlation, simple charts | Short report with three findings |
| Personal budget tracker | Where does the money go each month? | Categorise expenses, summarise by category | Dashboard in Excel |
| SQL practice on a sample store database | Who are the top customers and products? | Joins, grouping and ranking queries | Query file with comments |
| Idea | Question | Method | Deliverable |
|---|---|---|---|
| Customer segmentation by purchase behaviour | Which customers are most valuable? | Recency, frequency and monetary value scoring | Notebook plus segment dashboard |
| Delivery time analysis | What causes late deliveries? | Compare by carrier, warehouse, weekday | Dashboard with a recommendation |
| Marketing channel return | Which channel gives the lowest cost per customer? | Cost per lead and per customer, trend by month | One-page summary |
| Public transport or air-quality trends | How do values change by time and place? | Time-series cleaning and plots | Notebook with annotated charts |
| Churn analysis for a subscription dataset | Who leaves and when? | Cohort retention tables | Retention heatmap and recommendations |
| Idea | Question | Method | Deliverable |
|---|---|---|---|
| A/B test analysis | Did the new design improve conversion? | Two-proportion comparison with confidence interval | Decision memo |
| Sales forecasting baseline | What might next quarter look like? | Seasonal averages and a simple forecast with error measure | Notebook and plain-language summary |
| Automated weekly report | Can the report be produced without manual work? | Python script that loads, cleans and exports charts | Repository with schedule notes |
| Data warehouse mini-model | How should orders and customers be modelled? | Fact and dimension tables in SQL | Diagram and queries |
Employers see many projects on the same few datasets. To stand out, change one thing. Use a dataset from your city or an industry you know. Combine two sources, such as sales with weather or holidays. Ask a second-level question, such as why a trend changed rather than only that it changed. Or end with an operational output such as a monthly report that could really be used. The difference between a copied project and an original one is usually a sharper question and a clearer recommendation.
A starting point for the customer segmentation idea. Table and column names are illustrative.
SELECT customer_id,
MAX(order_date) AS last_order,
COUNT(*) AS frequency,
SUM(order_total) AS monetary
FROM orders
WHERE status <> 'cancelled'
GROUP BY customer_id
ORDER BY monetary DESC
LIMIT 20;A finished small project is worth more than an ambitious unfinished one. Fix a deadline, cut features until it fits and add extras only after the core is complete. Share early drafts with a mentor or peers and use their questions to improve the story.
| Format | Good for | Tip |
|---|---|---|
| README on GitHub | Showing process and code | Put findings at the top, not at the bottom |
| Published dashboard | Showing communication | Add a short text box explaining how to use it |
| Notebook with commentary | Showing analysis | Clear markdown headings between code cells |
| Two-page PDF summary | Applications and interviews | Question, method, result and recommendation |
If you are unsure which idea to build, score each one on three points: does it interest you, can you obtain the data easily, and can you finish it in about three weeks? Choose the idea with the highest total. Interest sustains you through the boring cleaning stage, available data prevents a stall in week one and a small scope protects you from abandoning the project. Once you finish one, the next will be faster.
Ready to turn a project idea into finished work? Explore Uncodemy's Data Analytics course and learn from industry trainers.