Description
Book Synopsis: The fast and easy way to learn Python programming and statistics
Python is a general-purpose programming language created in the late 1980s–and named after Monty Python–that's used by thousands of people to do things from testing microchips at Intel, to powering Instagram, to building video games with the PyGame library. Python For Data Science For Dummies is written for people who are new to data analysis, and discusses the basics of Python data analysis programming and statistics. The book also discusses Google Colab, which makes it possible to write Python code in the cloud.
- Get started with data science and Python
- Visualize information
- Wrangle data
- Learn from data
The book provides the statistical background needed to get started in data science programming, including probability, random distributions, hypothesis testing, confidence intervals, and building regression models for prediction.
Details
Looking to dive into the world of data science? Look no further! Introducing Python for Data Science For Dummies - the ultimate guide for beginners. With Python's versatility and simplicity, you'll be able to analyze data, visualize information, and gain valuable insights in no time.
Python, a renowned programming language named after Monty Python, is the go-to choice for data scientists worldwide. From testing microchips at Intel to powering renowned platforms like Instagram, Python's applications are endless. In this comprehensive book, you will learn the basics of Python data analysis programming and statistics, even if you have no prior experience.
One of the major highlights of this book is its coverage of Google Colab, a powerful cloud-based platform that allows you to write Python code without the need for any installations. With Colab, you can seamlessly collaborate with colleagues or access your projects from anywhere, making data analysis a breeze.
Whether you want to wrangle complex data sets, visualize trends and patterns, or derive meaningful insights, Python for Data Science For Dummies has got you covered. This book equips you with the essential statistical background required for data science programming. From probability and random distributions to hypothesis testing and regression models, you'll gain the knowledge needed to excel in the field of data science.
Take the first step towards becoming a proficient data scientist. Start your journey with Python for Data Science For Dummies and unlock a world of opportunities! Don't miss out on this invaluable resource - grab your copy now!
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