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Python for Data Science for Dummies by John Paul Mueller and Luca Massaron is the perfect starting point for those looking to dive into the fast-growing world of data science using Python. With the trusted For Dummies format, this guide makes technical concepts approachable for readers with little or no programming experience, while still packing enough insight for more seasoned learners.
Inside this accessible volume, readers will explore:
Core Python basics including objects, functions, and modules
Popular libraries for data science like NumPy, SciPy, Pandas, and Scikit-learn
Statistical foundations, such as probability, distributions, and hypothesis testing
Hands-on guidance to explore, manipulate, and visualize data sets
Real-world applications in business intelligence, machine learning, and data analysis
The book’s structure allows readers to follow a logical progression from beginner concepts to data-driven insights—supported with practical examples, tips, and exercises throughout. Whether you're studying, switching careers, or upskilling for your current job, this guide demystifies complex topics and equips you with tangible skills to thrive in a data-centric world.
A beginner-friendly guide to Python and data science—explore core concepts, coding techniques, and essential libraries like NumPy and Pandas.
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