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million by 2030, with a staggering revenue CAGR of 44.8%, mastering this language is more crucial than ever. This article will guide you through effective strategies to learn Python for Data Science, covering essential resources, libraries, and practical applications to kickstart your journey in this thriving field.
Introduction The demand for skilled Data Analysts is surging as organisations increasingly rely on data-driven decisions. The global Data Analytics market, valued at USD 41.05 billion by 2030, growing at a staggering CAGR of 27.3%. Focus on R: Deep dive into datawrangling, visualisation, and statistical analysis using R.
from 2023 to 2030. Data Manipulation and Preprocessing Proficiency in data preprocessing techniques, feature engineering, and datawrangling to ensure the quality and reliability of input data. The salary of an Artificial Intelligence Architect in India ranges between ₹ 18.0 Lakhs to ₹ 56.7
Due to its versatility, Python dominates in Data Science and Machine Learning. million by 2030, growing at a remarkable 44.8% Python offers rich libraries like Pandas and TensorFlow for DataWrangling , Machine Learning , and Web-Based Applications. Its market size is projected to reach USD 100.6
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