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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.
The career of a Data Analyst is highly lucrative today and with the right skills, your dream job is just around the corner. It is expected that the Data Science market will have more than 11 million job roles in India by 2030, opening up opportunities for you. Use a storytelling approach to make your projects more impactful.
It is widely recognised for its role in Machine Learning, data manipulation, and automation, making it a favourite among Data Scientists, developers, and researchers. million by 2030. This rapid growth reflects Python’s increasing dominance in the Data Science ecosystem, registering a compound annual growth rate (CAGR) of 44.8%.
from 2023 to 2030, indicating substantial growth and opportunities in the AI industry. Statistics: Statistical methods are vital in AI, particularly in dataanalysis and machine learning. Gain proficiency in probability theory, hypothesistesting , regression analysis , and statistical inference.
million by 2030, with a remarkable CAGR of 44.8% Concepts such as probability distributions, hypothesistesting , and Bayesian inference enable ML engineers to interpret results, quantify uncertainty, and improve model predictions. According to Emergen Research, the global Python market is set to reach USD 100.6
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