Mastering Data Analysis with Python: A Comprehensive Guide to NumPy, Pandas, and MatplotlibКНИГИ » ПРОГРАММИНГ
Название: Mastering Data Analysis with Python: A Comprehensive Guide to NumPy, Pandas, and Matplotlib Автор: Rajender Kumar Издательство: Jamba Academy Год: 2023 Страниц: 532 Язык: английский Формат: pdf, epub Размер: 10.1 MB
Are you tired of feeling like you're stuck in a dead-end job with no room for growth or advancement? Are you ready to take your career to the next level and start making real money? Look no further than "Mastering Data Analysis with Python."
This comprehensive guide is designed to teach you the skills you need to become a top-paying data analyst. With a focus on the powerful Python programming language, you'll learn how to collect, clean, and analyze data like a pro. But that's not all - you'll also discover how to use this data to make informed business decisions and drive real results.
"Mastering Data Analysis with Python: A Comprehensive Guide to NumPy, Pandas, and Matplotlib" is a book written by Rajender Kumar, aimed at individuals looking to enhance their data analysis skills. The book provides a comprehensive guide to the Python libraries NumPy, Pandas, and Matplotlib, which are commonly used for data analysis tasks. The book is divided into several chapters, each of which covers a different topic in data analysis. The first chapter introduces the NumPy library, which is used for numerical computing tasks such as array manipulation, linear algebra, and Fourier analysis. The subsequent chapters cover the Pandas library, which is used for data manipulation and analysis tasks such as data cleaning, merging, and aggregation. To make it even more convenient for readers, we are offering all the code discussed in the book as Jupyter notebooks on the GitHub.
Jupyter notebooks provide an interactive computing environment that enables users to write and run code, as well as create visualizations and documentation in a single document. This makes it a perfect tool for learning and experimenting with Machine Learning and Deep Learning concepts. The code provided on the Github repository can be downloaded and used freely by readers. The notebooks are organized according to the chapters in the book, making it easier for readers to find the relevant code for each concept.
Key features:
How to use Python's built-in libraries to manipulate and analyze data like a pro Techniques for cleaning and prepping data for analysis Advanced data visualization techniques to help you communicate your findings How to use statistical methods to draw meaningful insights from your data And much more!
Who this book is for?
Data analysts and scientists who want to learn how to use Python for data analysis Programmers who want to add data analysis skills to their repertoire Anyone interested in exploring and visualizing data using Python Students and professionals looking to improve their data analysis and visualization skills Individuals interested in Machine Learning and Artificial Intelligence who need to learn data analysis fundamentals.
What other people says: But don't just take our word for it. Here's what some of our readers have had to say: - "I've been working as a data analyst for a few years now, but this book taught me so many new techniques that I was able to immediately apply to my job and start making more money." - "I've always been interested in data analysis, but I didn't know where to start. This book is the perfect introduction to the field and has helped me land my dream job." - "I was able to use the skills I learned in this book to negotiate a raise and make an additional $100,000 per year!"
Outcomes:
Gain proficiency in NumPy, Pandas, and Matplotlib Learn to handle data effectively using Python Develop the skills to perform exploratory data analysis and data visualization Acquire the knowledge to build predictive models and perform statistical analysis Learn to handle large datasets and work with real-world data Master the skills to communicate data insights effectively Gain confidence in using Python for data analysis and visualization
So, what are you waiting for? Don't let your dreams of a high-paying career in data analysis slip away. Get your hands on "Mastering Data Analysis with Python" today and start making real money.
Introduction to Data Analysis with Python Getting Started with Python Built-in Data Structures, Functions, and Files Data Wrangling NumPy for Data Analysis Pandas for Data Analysis Descriptive Statistics for Data Analysis Data Exploration Data Exploration Matplotlib for Data visualization Data Visualization Data Analysis in Business Additional Resources for Further Learning Insider Secrets for Success as A Data Analyst Glossary
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Mastering Data Analysis with Python: A Comprehensive Guide to NumPy, Pandas, and Matplotlib 
Название: Mastering Data Analysis with Python: A Comprehensive Guide to NumPy, Pandas, and Matplotlib
