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Remote Data Science Jobs: 5 High-Demand Roles for Career Growth

Data Science Dojo

Key Skills: Mastery in machine learning frameworks like PyTorch or TensorFlow is essential, along with a solid foundation in unsupervised learning methods. Stanford AI Lab recommends proficiency in deep learning, especially if working in experimental or cutting-edge areas.

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Introduction to applied data science 101: Key concepts and methodologies 

Data Science Dojo

Big data processing With the increasing volume of data, big data technologies have become indispensable for Applied Data Science. Technologies like Hadoop and Spark enable the processing and analysis of massive datasets in a distributed and parallel manner.

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10 Must-Have AI Engineering Skills in 2024

Data Science Dojo

For example, predictive maintenance in manufacturing uses machine learning to anticipate equipment failures before they occur, reducing downtime and saving costs. Deep Learning Deep learning is a subset of machine learning based on artificial neural networks, where the model learns to perform tasks directly from text, images, or sounds.

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Data Scientist Job Description – What Companies Look For in 2025

Pickl AI

Machine Learning & AI: Hands-on experience with supervised and unsupervised algorithms, deep learning frameworks (TensorFlow, PyTorch), and natural language processing (NLP) is highly valued. Data scientists in India use a broad toolkit tailored to local industry needs: Programming: Python, R, SQL.

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A Guide to Choose the Best Data Science Bootcamp

Data Science Dojo

Data science bootcamps are intensive short-term educational programs designed to equip individuals with the skills needed to enter or advance in the field of data science. They cover a wide range of topics, ranging from Python, R, and statistics to machine learning and data visualization.

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The Data Dilemma: Exploring the Key Differences Between Data Science and Data Engineering

Pickl AI

They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage. With expertise in programming languages like Python , Java , SQL, and knowledge of big data technologies like Hadoop and Spark, data engineers optimize pipelines for data scientists and analysts to access valuable insights efficiently.

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Big Data Syllabus: A Comprehensive Overview

Pickl AI

Big Data Technologies and Tools A comprehensive syllabus should introduce students to the key technologies and tools used in Big Data analytics. Some of the most notable technologies include: Hadoop An open-source framework that allows for distributed storage and processing of large datasets across clusters of computers.