Data Analysis Foundation With Python

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Data Analysis Foundations With Python

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Author : Cuantum Technologies LLC
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-06-12

Data Analysis Foundations With Python written by Cuantum Technologies LLC and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-12 with Computers categories.

Dive into data analysis with Python, starting from the basics to advanced techniques. This course covers Python programming, data manipulation with Pandas, data visualization, exploratory data analysis, and machine learning. Key Features From Python basics to advanced data analysis techniques. Apply your skills to practical scenarios through real-world case studies. Detailed projects and quizzes to help gain the necessary skills. Book DescriptionEmbark on a comprehensive journey through data analysis with Python. Begin with an introduction to data analysis and Python, setting a strong foundation before delving into Python programming basics. Learn to set up your data analysis environment, ensuring you have the necessary tools and libraries at your fingertips. As you progress, gain proficiency in NumPy for numerical operations and Pandas for data manipulation, mastering the skills to handle and transform data efficiently. Proceed to data visualization with Matplotlib and Seaborn, where you'll create insightful visualizations to uncover patterns and trends. Understand the core principles of exploratory data analysis (EDA) and data preprocessing, preparing your data for robust analysis. Explore probability theory and hypothesis testing to make data-driven conclusions and get introduced to the fundamentals of machine learning. Delve into supervised and unsupervised learning techniques, laying the groundwork for predictive modeling. To solidify your knowledge, engage with two practical case studies: sales data analysis and social media sentiment analysis. These real-world applications will demonstrate best practices and provide valuable tips for your data analysis projects.What you will learn Develop a strong foundation in Python for data analysis. Manipulate and analyze data using NumPy and Pandas. Create insightful data visualizations with Matplotlib and Seaborn. Understand and apply probability theory and hypothesis testing. Implement supervised and unsupervised machine learning algorithms. Execute real-world data analysis projects with confidence. Who this book is for This course adopts a hands-on approach, seamlessly blending theoretical lessons with practical exercises and real-world case studies. Practical exercises are designed to apply theoretical knowledge, providing learners with the opportunity to experiment and learn through doing. Real-world applications and examples are integrated throughout the course to contextualize concepts, making the learning process engaging, relevant, and effective. By the end of the course, students will have a thorough understanding of the subject matter and the ability to apply their knowledge in practical scenarios.

Data Analysis Foundation With Python

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Author : Cuantum Technologies LLC
language : en
Publisher:
Release Date : 2023

Data Analysis Foundation With Python written by Cuantum Technologies LLC and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with Python (Computer program language) categories.

Unlock the Full Potential of Data Analysis with Python—All in One Comprehensive Guide! Are you an aspiring data scientist or analyst with a passion for exploring the vast possibilities of Python-based data analysis? If so, you're in luck because "Data Analysis Foundations with Python" is the perfect guide for you. This comprehensive and immersive book will not only provide you with a hands-on approach but also offer a detailed exploration of the fascinating world of Python-based data analysis. Whether you're a beginner or an experienced professional, this book will take you on a journey that will deepen your understanding and expand your skills in the field. Include a Free Repository Code with all code blocks used in this book. This free resource allows you to copy and paste the book code for easy manipulation. Free premium customer support. From Basics to Mastery: A Structured Learning Journey This book is not just a mere compilation of Python codes and data sets. It goes beyond that, offering a comprehensive course that will guide you from being a Python beginner to becoming a highly skilled Data Analyst. Throughout this course, you will not only acquire essential Python skills, but also gain practical experience in data manipulation techniques and learn about the latest advancements in machine learning. With its well-structured content and engaging learning activities, this book ensures that your journey towards becoming a proficient Data Analyst is both seamless and enjoyable. Three Exceptional Projects and Two In-Depth Case Studies Project 1: Analyzing Customer Reviews: Learn how to extract, clean, and make sense of textual data from online customer reviews. Project 2: Predicting House Prices: Delve into the fascinating world of supervised learning, where you'll get to apply complex machine learning models to predict property prices. Project 3: Building a Recommender System: Uncover the secrets of unsupervised learning as you build and deploy a fully functioning recommender system. Case Studies for Real-world Insight Case Study 1: Sales Data Analysis: Unearth the power of Python to transform raw sales data into actionable insights. Case Study 2: Social Media Sentiment Analysis: Venture into the realm of Natural Language Processing and learn how to analyze public sentiment from social media data. Additional Features Practical Exercises: Each chapter concludes with practical exercises, designed to test your understanding and apply what you’ve learned in real-world scenarios. Best Practices and Tips: The final section of the book is devoted to best practices in the field, including code organization and how to continue learning and growing in your data analysis journey. Who This Book Is For Whether you're a student who is eager to expand your knowledge, a professional who is seeking to embark on a new career path, or an experienced analyst who is looking to enhance your skills and stay ahead in the industry—this comprehensive book is specifically tailored to meet your needs and provide valuable insights and guidance. What Are You Waiting For? Embark on a transformative journey to unlock Python's potential for data analysis. Gain a deep understanding of Python's capabilities and learn how to extract insights from complex datasets using libraries and tools. Develop skills through real-world case studies and hands-on exercises to confidently tackle analytical challenges. This book equips you with technical knowledge, practical skills, and a growth mindset for continuous learning. Don't miss this opportunity to become a proficient Python data analyst. Get your copy now for unlimited possibilities in data analysis.

Python For Data Analysis

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Author : Wes McKinney
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2017-09-25

Python For Data Analysis written by Wes McKinney and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-25 with Computers categories.

Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. Use the IPython shell and Jupyter notebook for exploratory computing Learn basic and advanced features in NumPy (Numerical Python) Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples

Python For Data Analysis

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Author : Cooper Turner
language : en
Publisher:
Release Date : 2020-04-16

Python For Data Analysis written by Cooper Turner and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-16 with categories.

MASTER A CRUCIAL SKILL FOR FINANCIAL GROW AND SUCCESS Would you like to catch up on today's rushing world of science and technology? Do you know how important data analysis in almost every business is? Would you like to have a practical guide that will help you to understand and use all the data you have? If you answered "Yes" to at least one of these questions, then keep reading... Data analysis plays a very important role in many aspects of your everyday life today. From the moment you wake up, you interact with data at different levels. A lot of important decisions are made based on data analytics. None of the businesses would function and run successfully without people who know how to use master this powerful tool. Businesses use data to Understand Their Customer Needs and produce the Best Possible Product or Service. Python Programming Language is one of the best systems when it comes to data analysis, and if you are thinking about opening your own business someday or already have one, this is definitely a tool you must understand and use. In this book, you are going to learn the most important aspects of Python Data Analysis, as well as the foundation of the programming language. It is going to be your final tool for Business and Personal Growth. Here are just a few things you are going to get out of this book: The foundation of Python Programming Step-by-step strategies to use Python for Data Analysis How Coding with Python works, and why you need to understand it? Different types of data structures for Small and Medium-Sized Businesses What is Panda Manipulation Tool, and how to use it? Data Science Tips and Trick for a Massive Growth Much much more... I am about to start my own online business, will this book help? Yes, it is one of the main focus of this book - how to use data analysis to start and build a successful business. Why this book over other Python Programing books? This guide is complete, from basic programming for beginners to more advanced practical advice - strategies inside this book you can use in a lot of real-life situations, not only finance and business. If you came to this point, you are definitely ready to take action. Scroll up, click on "Buy Now" and discover the power of Data Analysis!

Data Analytics With Python

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Author : Frank Millstein
language : en
Publisher: Frank Millstein
Release Date : 2020-05-08

Data Analytics With Python written by Frank Millstein and has been published by Frank Millstein this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-08 with Computers categories.

Data Analytics With Python Data is the foundation of this digital age that we live in. With this book, you are going to learn how to organize and analyze data and how to interpret vast sources of information. This book covers various topics on data analytics such as data analytics applications, data analytics process, using Python for data analytics, Python libraries for data analytics and many other that will help you kick-start your data analytics journey from the very beginning. In this book you are going to learn how to use Python its tools in order to interpret data and examine those interesting data trends and information, which are important in predicting the future. Whether you are dealing with some medical data, sales data, web page data, you can use Python in order to interpret data, analyze it and obtain this valuable information. You can also use this data for creating data analytics models and predictions. Here Is A Brief Preview of What You’ll Learn In This Book… -Data analytics applications -Data analytics process -How to install and run Python -Python data structures and Python libraries -Python conditional construct and iteration -Data exploration using Pandas -Pandas series and dataframes -Data munging and distribution analysis -Carrying out binary operations -Data manipulation and categorical variable analysis -How to build a predictive model -And of course much, much more! Get this book NOW and learn more about Data Analytics With Python!

Data Analytics In Digital Humanities

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Author : Shalin Hai-Jew
language : en
Publisher: Springer
Release Date : 2017-05-03

Data Analytics In Digital Humanities written by Shalin Hai-Jew and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-03 with Computers categories.

This book covers computationally innovative methods and technologies including data collection and elicitation, data processing, data analysis, data visualizations, and data presentation. It explores how digital humanists have harnessed the hypersociality and social technologies, benefited from the open-source sharing not only of data but of code, and made technological capabilities a critical part of humanities work. Chapters are written by researchers from around the world, bringing perspectives from diverse fields and subject areas. The respective authors describe their work, their research, and their learning. Topics include semantic web for cultural heritage valorization, machine learning for parody detection by classification, psychological text analysis, crowdsourcing imagery coding in natural disasters, and creating inheritable digital codebooks.Designed for researchers and academics, this book is suitable for those interested in methodologies and analytics that can be applied in literature, history, philosophy, linguistics, and related disciplines. Professionals such as librarians, archivists, and historians will also find the content informative and instructive.

Advanced Data Analytics Using Python

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Author : Sayan Mukhopadhyay
language : en
Publisher: Apress
Release Date : 2018-03-29

Advanced Data Analytics Using Python written by Sayan Mukhopadhyay and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-29 with Computers categories.

Gain a broad foundation of advanced data analytics concepts and discover the recent revolution in databases such as Neo4j, Elasticsearch, and MongoDB. This book discusses how to implement ETL techniques including topical crawling, which is applied in domains such as high-frequency algorithmic trading and goal-oriented dialog systems. You’ll also see examples of machine learning concepts such as semi-supervised learning, deep learning, and NLP. Advanced Data Analytics Using Python also covers important traditional data analysis techniques such as time series and principal component analysis. After reading this book you will have experience of every technical aspect of an analytics project. You’ll get to know the concepts using Python code, giving you samples to use in your own projects. What You Will Learn Work with data analysis techniques such as classification, clustering, regression, and forecasting Handle structured and unstructured data, ETL techniques, and different kinds of databases such as Neo4j, Elasticsearch, MongoDB, and MySQL Examine the different big data frameworks, including Hadoop and Spark Discover advanced machine learning concepts such as semi-supervised learning, deep learning, and NLP Who This Book Is For Data scientists and software developers interested in the field of data analytics.

Foundations For Analytics With Python

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Author : Clinton W. Brownley
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-08-16

Foundations For Analytics With Python written by Clinton W. Brownley and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-16 with Computers categories.

If you’re like many of Excel’s 750 million users, you want to do more with your data—like repeating similar analyses over hundreds of files, or combining data in many files for analysis at one time. This practical guide shows ambitious non-programmers how to automate and scale the processing and analysis of data in different formats—by using Python. After author Clinton Brownley takes you through Python basics, you’ll be able to write simple scripts for processing data in spreadsheets as well as databases. You’ll also learn how to use several Python modules for parsing files, grouping data, and producing statistics. No programming experience is necessary. Create and run your own Python scripts by learning basic syntax Use Python’s csv module to read and parse CSV files Read multiple Excel worksheets and workbooks with the xlrd module Perform database operations in MySQL or with the mysqlclient module Create Python applications to find specific records, group data, and parse text files Build statistical graphs and plots with matplotlib, pandas, ggplot, and seaborn Produce summary statistics, and estimate regression and classification models Schedule your scripts to run automatically in both Windows and Mac environments

Advances In Operational Excellence In The Higher Education Sector

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Author : Olivia McDermott
language : en
Publisher: Springer Nature
Release Date : 2025-02-28

Advances In Operational Excellence In The Higher Education Sector written by Olivia McDermott and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-28 with Technology & Engineering categories.

This book reports on advances in applications of Lean Six Sigma and Operational Excellence in Higher Education Institutes and in other Public Sector organisations with a special emphasis on Kaizen, Lean, Business Excellence Models, and Digitisation. Further topics include Leadership for Higher Education Institutes and public sectors in Operational Excellence and building a culture for Operational Excellence. Chapters report on theoretical research and case studies concerning Operational Excellence, Lean Six Sigma and Quality Management applications. Based on the 7th International Conference on Operational Excellence in Higher Educational Institutes and other public sector organisations (2024), held on September 2nd-3rd, 2024, at the University of Galway in Ireland, this book offers a timely reference for both academics and professionals in the broad field of Operational Excellence.

Operational Excellence Case Studies In Higher Education Institutions

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Author : Jiju Antony
language : en
Publisher: Emerald Group Publishing
Release Date : 2025-10-14

Operational Excellence Case Studies In Higher Education Institutions written by Jiju Antony and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-14 with Business & Economics categories.

In Operational Excellence Case Studies in Higher Education Institutions, the chapters bring together a wide range of real-life, global case studies which highlight critical differences in approach due to varied cultural differences and leadership styles.