--- title: Data science description: Data science is a technique that involves inferencing data, development of algorithms, and solving analytically complex problems. It allows you to mine and understand data at a basic and detailed leve --- [Skip to content](https://help.hackerearth.com/hc/en-us/articles/360023692674-data-science#main-content) English Show submenu for translations ![HE logo.png\]](https://help.hackerearth.com/hs-fs/hubfs/HE%20logo.png?height=40&name=HE%20logo.png) Open main navigation Close main navigation - English Show submenu for translations Hello. How can we help you? - There are no suggestions because the search field is empty. 1. [Help Center](https://help.hackerearth.com/?hsLang=en) 2. [Assessments: Recruiters](https://help.hackerearth.com/assessments-recruiters?hsLang=en) 3. [Data science](https://help.hackerearth.com/assessments-recruiters?hsLang=en#data-science) # Data science Data science is a technique that involves inferencing data, development of algorithms, and solving analytically complex problems. It allows you to mine and understand data at a basic and detailed level to solve complex behaviors, trends, and inferences. This technique enables companies to make smarter business decisions by surfacing hidden insights. For example: - Netflix mines movie-viewing patterns to understand what drives a user's interest. It uses those patterns to make decisions to produce Netflix's original series. - Target Corporations identify major customer segments within its users and the unique shopping behaviors within those segments. These behaviors help you to guide messages to different market audiences. ### **Use cases of data science questions** - **Hire data analysts who have basic knowledge of building models** Nowadays, challenges in data analytics are being addressed through Machine Learning. Machine Learning provides you with a platform that enables you to assess the skills of candidates and hire those who have the knowledge of building models based on predictive analysis. - **Hire data science engineers** Hiring skilled candidates for data science engineers is a complex and multidisciplinary task. You need to test the technical skills of a candidate, such as relational databases, big data platforms, and many more. Machine Learning provides a platform enabling you to evaluate all the skills. ### **Important terminologies** **Sample dataset** It contains some part of the test data based on which you are evaluated instantly after submission. **Full dataset** It contains entire i.e., 100%, of the test data, based on which the final evaluation (after the challenge gets over) is done. **Checker** It retrieves ideal submissions that contain the solution of the offline test cases and compares it to the candidate’s submission.  **Checker language** It is the programming language in which the checker file is written. **Sample expected output file** This file contains the output of the sample dataset.  **Expected output file** This file contains the output of the full dataset.  **Note**: HackerEarth’s Data Science platform supports the packages and versions that are listed [here](https://hck.re/B3lwYa) - [Assessments: Recruiters](https://help.hackerearth.com/assessments-recruiters?hsLang=en#main-content) - 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