Data science requires a deep understanding of statistics, algorithms, programming, hacking, and communication skills.

Case studies offer a better understanding of any topic and help you in understanding the practical implementation of data science concepts.

Analysing and working on case studies is a helpful way for both aspiring and working data scientists to challenge themselves and learn more about a particular field, harbor a different way of thinking, and to stay on top of industry trends.

Let’s look at some best data science case studies.

IBM Analytics

Data science has revolutionized the way teachers and students interact with each other. It has also changed the way in which the students’ performance is evaluated.

IBM analytics has created a project for schools to evaluate student’s performance based on their performance.

The University of Florida uses this project to keep track of student performance and make necessary predictions.

Also, MOOCs (Massive Open Online Courses) and online education platforms are using data science to keep track of the students’ progress, to automate the assignment evaluation and to improve the course curriculum based on student feedback.

Big Data in Skiing

Ski resorts are using data to understand and target their customers.

RFID tags (Radio-Frequency Identification) are inserted into lift tickets which help in cutting back on ticketing fraud and wait times at the lifts.

It also helps ski resorts understand traffic patterns, which skis are most popular at which times of the day, and even help to track the movements of an individual skier if they were to get lost.

Imagine the skier receiving customized invitations from their favourite resort, or text alerts letting you know when the waiting period is the shortest.


Airbnb encountered some high-level issues as it grew, and their data science team solved them.

They used statistics to understand individual experiences and aggregate those experiences to identify trends across the community; those trends gave way to decisions about where to drive the business.

The company made the decision to move from a fully-centralized arrangement to a hybrid centralized/embedded structure, as a result of which the adoption of data throughout the company was accelerated.

Investment in data infrastructure was the biggest lever there — adopting faster and more reliable technologies for querying an ever-growing volume of data. The company experienced 43,000% growth in just five years by applying the above strategy and taking the help of data.


Netflix is the largest internet-television network in the world, it has more than 53 million members in approximately 50 countries.

House of Cards and Orange Is the New Black, are two examples of how the company leveraged data science to understand its subscribers and cater to their needs. Netflix uses Data Science to cater to relevant and interesting recommendations to you.

The company’s most-watched shows are generated from recommendations, which in turn foster consumer engagement and loyalty.

These case studies show many companies have leveraged data science for their growth.

And as the years go by, data science will only get more and more important for these businesses. Therefore this is probably the best time to start learning more about Data Science & gaining skills which are relevant to this industry.

If you want to learn more about Data Science and actually work on capstone projects similar to the case studies discussed above then you should check out our Data Science Learning Path.

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