Python Essentials for Data Science | Intro to Matplotlib, Pands, Numpy, Seaborn, and More

Over the past 30 years, Python has been growing in popularity and relevance within our workforce, particularly with the increasing demand for data-driven decision-making. This popular high-level programming language is simple and versatile, making it a great language for beginners and experts from any field or industry. For those interested in advancing their career in the field of data science, Python's powerful libraries and frameworks like Pandas, NumPy, and SciPy, make data manipulation and analysis easier and more efficient.