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TOP 11 PROGRAMMING LANGUAGES FOR DATA SCIENTISTS’ INSTANT RESUME BOOST

Gain the utmost expertise in the most popular data science programming languages. Learn data visualizations, machine learning techniques, and more with USDSIu00ae.

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TOP 11 PROGRAMMING LANGUAGES FOR DATA SCIENTISTS’ INSTANT RESUME BOOST

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  1. 11 TOP PROGRAMMING LANGUAGES FOR DATA SCIENTISTS' INSTANT RESUME BOOST © 2024. United States Data Science Institute. All Rights Reserved. Programming language computers what to do. Do you want to know the imperative role these play in landing you a dream A is a written language that commands data science job role? 2024 PROGRAMMING LANGUAGE BREAKDOWN #of open job postings for each language, in the US only Python SQL Java C++ JavaScript C# Golang Rust PHP Typescript Ruby Kotlin 0 20,000 40,000 60,000 80,000 100,000 Source: Zerotomastery.io This is a clear representation of the current demand scenario worldwide for data science professionals with the requisite expertise in top-ranking programming languages; specifically in the USA in 2024. © 2024. United States Data Science Institute. All Rights Reserved. You can find the exhaustive list of Must-Learn Programming languages below: PYTHON: THE VERSATILE CHAMPION WHY: Readable, extensive libraries (NumPy, Pandas, Scikit- learn), machine learning, data analysis, visualization BEST SUITED: General-purpose data science tasks, machine learning, and data engineering R: STATISTICAL POWERHOUSE WHY: Statistical computing, data analysis, visualization (ggplot2), strong community support BEST SUITED: Statistical modelling, data exploration, bioinformatics SQL: THE DATA WRANGLER WHY: Data manipulation, querying relational databases, efficient data retrieval BEST SUITED: Database management, data cleaning, data warehousing JAVA: SCALABILITY AND ENTERPRISE WHY: Big data processing (Hadoop), enterprise applications, performance-critical tasks BEST SUITED: Large-scale data processing, distributed systems WHY: High performance, numerical computing, machine learning, technical computing BEST SUITED: Scientific computing, data analysis requiring speed SCALA: FUNCTIONAL AND SCALABLE WHY: Functional programming, big data processing (Spark), interoperability with Java BEST SUITED: Large-scale data engineering, distributed computing C/C++: PERFORMANCE-CRITICAL TASKS WHY: Speed, efficiency, low-level control, system programming BEST SUITED: High-performance computing, data-intensive applications JAVASCRIPT: WEB AND DATA VISUALIZATION WHY: Interactive visualizations, web development, data exploration BEST SUITED: Data storytelling, web-based data applications SWIFT: APPLE ECOSYSTEM WHY: iOS and MacOS app development, data science on Apple platforms BEST SUITED: Data science on Apple devices, mobile app development GO: EFFICIENCY AND CONCURRENCY WHY: Speed, efficiency, concurrency, cloud-native applications BEST SUITED: Cloud-based data pipelines,data engineering MATLAB: NUMERICAL COMPUTING & VISUALIZATION WHY: Matrix computations, algorithm development, data visualization BEST SUITED: Signal processing, image processing, control systems Choose the right language by considering the project size, performance requirements, team expertise, and ecosystem to scale higher. © 2024. United States Data Science Institute. All Rights Reserved. BECOME A MASTER AT DEPLOYING A COMBINATION OF LANGUAGES TO TACKLE DIVERSE DATA PROBLEMS EXPLORE THE TOP DATA SCIENCE CERTIFICATIONS FROM © 2024. United States Data Science Institute. All Rights Reserved.

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