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A Collection of Take-Home Data Science Challenges for 2025

ProjectPro

By implementing various machine learning algorithms over a dataset of dates, store, item information, promotions, and unit sales, you will be using time forecasting methods to predict the sales. Two Sigma Investments is a firm implementing data science tools over datasets for predicting financial trade since 2001.

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15 Tableau Projects for Beginners to Practice with Source Code

ProjectPro

Storytelling involves showing patterns in a given dataset and then trying to infer actionable insights from the same. Most importantly, the tool is used in the exploration phase, where it showcases vast datasets in different visualizations. Since the dataset is huge for this project, Tableau can be used in two ways.

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Computer Vision: Algorithms and Applications to Explore in 2025

ProjectPro

Computer Vision focuses on replicating the complex working of the human visual system and enabling a machine or computer to identify and process different objects in videos and images, just like a human being. This algorithm is slow to train for a given dataset but can detect faces with impressive speed and accuracy in real-time.

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Geospatial Index 102

Towards Data Science

It makes geospatial data can be searched and retrieved efficiently so that the system can provide the best experience to its users. Anyone with a Google Cloud Platform account can access this dataset for free. It consists of approximately 8 million rows of data (with a total amount of 1.52 Add the geohash to the query condition.

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Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and…

Netflix Tech

You are designing a learning system to forecast Service Level Agreement (SLA) violations and would want to factor in all upstream dependencies and corresponding historical states. Nonetheless, Netflix data landscape (see below) is complex and many teams collaborate effectively for sharing the responsibility of our data system management.

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History of Big Data

Knowledge Hut

They realized that compiling this data and converting it into information would take over 10 years without an efficient system. Gradually, data storage and processing systems evolved, and today, we see it in one of its most advanced forms, the cloud. These systems hamper data handling to a great extent because errors usually persist.

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A State-of-the-Art Method for Generating Photo-Realistic Textures in Real Time

Zalando Engineering

And justifiably so: not only do vast datasets and raw computational GPU power contribute to this fact, but also the influx of brilliant people dedicating their time to the topic has accelerated the progress in the field. The model parameters can then be optimized on this dataset by minimizing a loss function. 2016] and [Bergmann et al.