Using Python for data science: What you need to know
From Fortune:
The amount of data at our disposal is overwhelming, making data science more critical than ever. With a high pay floor and plenty of growth opportunities, a career in data science is rewarding. The field aims to inform decision-making and strategic planning for businesses. Pursuing a career in data science can be quite lucrative, with the average data scientist salary in the U.S. at $145,257. The Bureau of Labor Statistics projects a 23% growth for “Computer and Information Research Scientists” from 2022 to 2032, with a promising demand for data scientists. Data science is the foundation of artificial intelligence and machine learning, making it highly valuable as a career path. Python is a high-level, interpreted programming language known for its simplicity, readability, and versatility. It has become one of the most popular programming languages in the world and is the foundation of artificial intelligence and machine learning. Most new tools in the artificial intelligence/machine learning space have been developed in Python, making it essential to master. Learning a programming language is easier than ever, with free and paid online resources available. Udemy and Stack Overflow can help solve specific problems, but practice is essential for mastering Python. If you’re looking for a rewarding and challenging STEM career, data science is a great route to pursue. The career path is in high demand and requires creativity, as tools and techniques are constantly evolving. Mastering Python is integral to data science work, and there are many resources available to help you become an expert in this programming language and apply it to data science.
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