capstone-project-ideas-for-data-science

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C A P S T O N E

P R O J E C T I D E A S

DATA

SCIENCE


BIG DATA

Prediction of epidemics: using past and current data to predict

where an epidemic may break out within any country in the world.

Detection of fraud: algorithms that can be used to analyze emails

and other messages to identify fraudulent messages.

Predicting rises in crime: use available data to predict where

crimes are most likely to occur and when.

Analysis of employee relations within a large company: helping big

companies improve retention through an understanding of staff

satisfaction.

Beating traffic jams: using real-time data to provide a clear route

to your destination in the quickest possible time.

Analysis of project management: identifying bottlenecks and

delays to help ensure future projects run smoothly.

Supply chain management improvements: analysis of all aspects

of the supply chain for a large manufacturer to help improve all

aspects of purchasing.

To improve sports performance: analysis of past plays and other

data to help develop strategies for training.

Improving your diet: use big data analysis to discover what diets

work for what people.

Improving agricultural yields: analysis of the many different

variables around different crops to find the best conditions for

maximum crops.


DATA

ANALYTICS

Build a recommendation system for YouTube: using the available

data create an algorithm to suggest videos to view.

Look at the relationship between a knife or gun crime and school

results: create a regional map to show the relationship between

crime and education.

Using real-time network data to predict failures: use the data

available to predict where the network is likely to fail.

The effectiveness of sales channels: show how the different

routes to market perform with a breakdown of the markets they

are effective for.

Identify reasons for software design failure: help to build more

robust software through understanding reasons for failure.

Predicting supply chain delays: analysis of data to identify the

conditions most likely to cause supplier failures and delays.

Analysis of blogs to discover the most popular content: what are

the specific features of a blog that attract more readers?

When to sell: analyze financial market conditions and housing

pricing to define the ideal time to sell the property for a profit.

Understand consumer behavior on “Black Friday”: what do people

want to buy at this point in time?

Provide better cab coverage: analysis of riding patterns to ensure

that cabs are available in the right locations at the right time.

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