Data Science Foundations With Python A Beginner S Guide
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Data Science Foundations With Python A Beginner S Guide
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Author : Dr.Naresh Sharma
language : en
Publisher: SK Research Group of Companies
Release Date : 2025-11-24
Data Science Foundations With Python A Beginner S Guide written by Dr.Naresh Sharma and has been published by SK Research Group of Companies this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-24 with Computers categories.
Dr.Naresh Sharma, Assistant Professor, Department of Computer Science and Engineering, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Ghaziabad, Uttar Pradesh, India. Dr.Rajneesh Kumar, Assistant Professor, Department of Computer Science and Engineering, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Ghaziabad, Uttar Pradesh, India.
Python For Data Analysis
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Author : Brady Ellison
language : en
Publisher:
Release Date :
Python For Data Analysis written by Brady Ellison and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Ready to learn Data Science through Python language? Python for Data Analysis is a step-by-step guide for beginners and dabblers-alike. This book is designed to offer working knowledge of Python and data science and some of the tools required to apply that knowledge. It’s possible that you have little experience with or knowledge of data analysis and are interested in it. You might have some experience in coding. You may have worked with data before and want to use Python. We have made this book in a way that will be helpful to all these groups and more besides in varying ways. This can serve as an introduction to the most current tools and functions of those tools used by data scientists. In this book You will learn: Data Science/Analysis and its applications IPython and Jupyter - an introduction to the basic tools and how to navigate and use them. You will also learn about its importance in a data scientist’s ecosystem. Pandas - a powerful data management Python library that lets you do interesting things with data. You will learn all the basics you need to get started. NumPy - a powerful numerical library for Python. You will learn more about its advantages. Get your copy now
Python Data Science
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Author : Christopher Wilkinson
language : en
Publisher:
Release Date : 2019-10-26
Python Data Science written by Christopher Wilkinson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-26 with categories.
An Ultimate Guide to Learn Fundamentals of Python Data Science is full of insights and strategies for data scientists, programming professionals, and students who want to equip themselves with the new trending libraries and functions of Python as a data management tool. This book has all the major techniques of data collection, interpretation and processing to achieve refined information. The reader will learn about the scientific research of data, syntax of Python programming language, and all the basic knowledge of imported libraries and methods.An effective approach of Python data science can save time, resources, and energy. You can learn to help any company with the running processes: accounts, HR modules, sales, services and more. Keeping in view the requirements of brand and competition, this guide for beginners covers all the data management strategies and tactics. The development of the well-structured function of Python is purely a systematic and knowledge-based technique. Building a scientific data research system has never been as easy as it is today. A lot of companies have shifted their data systems to the open-source, easy to learn, Python language. If you really want to learn Python Data Science, don't waste your time looking around - buy this extraordinary book now to get started. It is a detailed book with a comprehensive knowledge of data science, Python data structures, standard libraries, data science frameworks and predictive models in Python. Build your success story through learning the best practices of data science. Click the Buy button to get started.
Data Science From Scratch With Python
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Author : Peter Morgan
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2018-08-21
Data Science From Scratch With Python written by Peter Morgan and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-21 with Data mining categories.
***** BUY NOW (will soon return to 24.77 $) ***** MONEY BACK GUARANTEE BY AMAZON (See Below FAQ) *****Are you thinking of learning data science from scratch using Python? (For Beginners)If you are looking for a complete step-by-step guide to data science using Python from scratch, this book is for you. After his great success with his first book "Data Analysis from Scratch with Python," Peter Morgan publishes his second book focusing now in data science and machine learning. It is considered by practitioners as the easiest guide ever written in this domain. From AI Sciences Publisher Our books may be the best one for beginners; it's a step-by-step guide for any person who wants to start learning Artificial Intelligence and Data Science from scratch. Readers are advised to adopt a hands on approach, which would lead to better mental representations. Step by Step Guide and Visual Illustrations and ExamplesThe Book give complete instructions for manipulating, processing, cleaning, modeling and crunching datasets in Python. This is a hands-on guide with practical case studies of data analysis problems effectively. You will learn, pandas, NumPy, IPython, and Jupiter in the Process. Target Users Beginners who want to approach data science, but are too afraid of complex math to start Newbies in computer science techniques and data science Professors, lecturers or tutors who are looking to find better ways to explain the content to their students in the simplest and easiest way Students and academicians, especially those focusing on data science What's Inside This Book? Part 1: Data Science Fundamentals, Concepts and Algorithms Introduction Statistics Probability Bayes' Theorem and Naïve Bayes Algorithm Asking the Right Question Data Acquisition Data Preparation Data Exploration Data Modelling Data Presentation Supervised Learning Algorithms Unsupervised Learning Algorithms Semi-supervised Learning Algorithms Reinforcement Learning Algorithms Overfitting and Underfitting The Bias-Variance Trade-off Feature Extraction and Selection Part 2: Data Science in Practice Overview of Python Programming Language Python Data Science Tools Jupyter Notebook Numerical Python (Numpy) Pandas Scientific Python (Scipy) Matplotlib Scikit-Learn K-Nearest Neighbors Naive Bayes Simple and Multiple Linear Regression Logistic Regression GLM models Decision Trees and Random forest Perceptrons Backpropagation Clustering Natural Language Processing Frequently Asked Questions Q: Does this book include everything I need to become a data science expert?A: Unfortunately, no. This book is designed for readers taking their first steps in data science and machine learning using Python and further learning will be required beyond this book to master all aspects. Q: Can I have a refund if this book doesn't fit for me?A: Yes, Amazon refund you if you aren't satisfied, for more information about the amazon refund service please go to the amazon help platform.***** MONEY BACK GUARANTEE BY AMAZON ***** Editorial Reviews "This is a fantastic book on Python-based data science, data analysis, machine learning, Reinforcement learning and deep learning. As a data scientist with more than 10 years, Peter has had long experience in data science and give in this book the key elements.." - Lei Xia, Data Scientist Expert at Facebook
A Beginner S Guide To Data Science
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Author : Enamul Haque
language : en
Publisher:
Release Date : 2023-01-06
A Beginner S Guide To Data Science written by Enamul Haque and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-06 with categories.
This book is designed for aspiring data scientists who want to start their careers in data science, even if they don't have coding skills. It provides a comprehensive introduction to the foundations of data science and its applications, using simple language that is easy for beginners to understand. No technical expertise is required to master the material in this book. It is an ideal resource for anyone looking to learn about data science in an accessible and straightforward way. Key features include: Introduction to data science History of data science Data science life-cycle Data science tools and technologies Data science methodology Data science models Developing data science business strategy Managing data science projects Becoming a data scientist, data engineer etc. Big data Data Mining Artificial intelligence Machine learning Deep learning Neural networks Mathematical analysis Statistical modelling Understanding the fundamentals of data science programming languages Database structures and principles Robotic Process Automation Data science acronyms You need to know And a lot more.
Python Data Science Demystified
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Author : Chibudom Obasi
language : en
Publisher: Independently Published
Release Date : 2023-12-06
Python Data Science Demystified written by Chibudom Obasi and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-06 with categories.
"Python for Data Science: A Comprehensive Beginner's Guide" Embark on a transformative journey into the world of data science with Python as your guide! This comprehensive beginner's guide introduces Python's prowess in data analysis, visualization, and machine learning, making it an essential companion for newcomers to programming and enthusiasts eager to explore Python's data-centric features. Unlock the power of Python through: *Foundations of Python Programming* - Dive into Python's fundamentals, from variables and data types to control flow and loops. Gain a solid understanding of Python's syntax and structure, laying a strong foundation for data-centric exploration. *Data Structures and Operations* - Explore the versatility of data structures in Python, including lists, tuples, dictionaries, and sets. Master their operations, optimizing your data handling skills for efficient manipulation. *Data Manipulation and Visualization* - Harness the power of Pandas for data manipulation, learning to clean and preprocess messy data effectively. Discover the art of visual storytelling using Matplotlib and Seaborn, creating compelling visualizations to interpret data insights. *Introduction to Machine Learning* - Step into the realm of machine learning basics, understanding supervised and unsupervised learning paradigms. Dive into Scikit-learn, exploring classification, regression, and model evaluation techniques. *Real-world Applications and Projects* - Apply learned concepts through practical projects, from data analysis and visualization to building predictive models. Gain hands-on experience, tackling real-world datasets and deriving actionable insights. This book is designed to demystify Python's role in data science, offering a clear path to mastering its capabilities. With engaging explanations, practical examples, and hands-on exercises, "Python for Data Science" equips you with the skills to confidently navigate Python's data-driven landscape, setting you on a path towards becoming a proficient data scientist. Whether you're seeking to analyze data trends, create impactful visualizations, or delve into machine learning, this book serves as your gateway to leveraging Python for data-centric excellence.
A Beginners Guide To Data Science
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Author : Enamul Haque
language : en
Publisher:
Release Date : 2021-03-31
A Beginners Guide To Data Science written by Enamul Haque and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-31 with categories.
Calling all the Aspiring Data Scientists! This book is your "one-stop-shop" to kick start your data science career without knowing how to code! In fact, data science doesn't have to be complicated! With this book, you will grow an understanding of the foundations of data science and its applications. To master this book, you don't need technical abilities. This book is recommended for beginners and anybody who want to understand data science conveniently. You don't need a big textbook to master data science today. A straightforward language has been used to ensure ease of understanding, especially for beginners. Key features include: Introduction to data scienceHistory of data scienceData science life-cycleData science tools and technologiesData science methodologyData science modelsDeveloping data science business strategyManaging data science projectsBecoming a data scientist, data engineers etc.Doing data science without codingBig dataData MiningArtificial intelligenceMachine learningDeep learningNeural networksMathematical analysisStatistical modellingUnderstanding the fundamentals of Python and RDatabase structures and principlesRobotic Process AutomationData science acronyms you need to knowOnline free data science learning resources And a lot more
Data Science From Scratch With Python
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Author : Steve Geddis
language : en
Publisher:
Release Date : 2020-10-08
Data Science From Scratch With Python written by Steve Geddis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-08 with categories.
Data are no longer just information but a resource that is growing exponentially. There are many powerful ways to store and manipulate data and there are many helpful data science tools that you can use to begin conducting your own analyses. If you are willing to understand more, this book is a crash course on data science. This book will guide you exploring, among others: The Python programming environment, including fundamental Python programming techniques; Basics of data analysis in Python; What is a Data Scientist? Functionality and features used for data science; Data manipulation using the Python Pandas; models such as neural networks, plotting and clustering; fundamentals of big data, deep learning, artificial intelligence and machine learning; And much much more. Begin your journey and make sure you get the best crash course on data science available!
Python Data Science
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Author : Mark Brown
language : en
Publisher:
Release Date : 2019-10-28
Python Data Science written by Mark Brown and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-28 with categories.
♣♣♣♣♣♣♣♣ 2020 Edition ♣♣♣♣♣♣♣♣ DO YOU NEED A HANDS-ON CRASH COURSE IN PYTHON MACHINE LEARNING? Look no further! You have found your new Bible. Everything you need is within the covers of PYTHON DATA SCIENCE - The Bible. Python programming is an advanced skill, but building on your foundations, you will learn more from PYTHON DATA SCIENCE - The Bible in one day than you can anywhere else. Whether you are a self-taught programmer or you are working your way through school for a degree in information technology, leaning Python and learning it well is essential. Whether you want to automate the boring stuff, learn data analysis, Scikit-learn, or wade into Deep Learning, you will find something in this book for you. "The book is just great - amazing combination of details and brevity. I had programming experience, but no experience with Python at all before I started reading this book. Very good fit for my qualification. Recommended for everyone who is going to start a new way into Data Science using Python." - Trish Stratus - from Amazon.com Don't wait any longer! Scroll to the top of the page and get your copy today by clicking the BUY NOW button!
Data Science For Beginners
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Author : Andrew Park
language : en
Publisher:
Release Date : 2021-02-09
Data Science For Beginners written by Andrew Park and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-09 with categories.
★ 55% OFF for Bookstores! Now at $39.95 instead of $49.95! ★ Your Customers Will Never Stop To Use This Complete Guide! Did you know that according to Harvard Business Review the Data Scientist is the sexiest job of the 21st century? And for a reason! If "sexy" means having rare qualities that are much in demand, data scientists are already there. They are expensive to hire and, given the very competitive market for their services, difficult to retain. There simply aren't a lot of people with their combination of scientific background and computational and analytical skills. Data Science is all about transforming data into business value using math and algorithms. And needless to say, Python is the must-know programming language of the 21st century. If you are interested in coding and Data Science, then you must know Python to succeed in these industries! Data Science for Beginners is the perfect place to start learning everything you need to succeed. Contained within these four essential books are the methods, concepts, and important practical examples to help build your foundation for excelling at the discipline that is shaping the modern word. This bundle is perfect for programmers, software engineers, project managers and those who just want to keep up with technology. With these books in your hands, you will: ● Learn Python from scratch including the basic operations, how to install it, data structures and functions, and conditional loops ● Build upon the fundamentals with advanced techniques like Object-Oriented Programming (OOP), Inheritance, and Polymorphism ● Discover the importance of Data Science and how to use it in real-world situations ● Learn the 5 steps of Data Analysis so you can comprehend and analyze data sitting right in front of you ● Increase your income by learning a new, valuable skill that only a select handful of people take the time to learn ● Discover how companies can improve their business through practical examples and explanations ● And Much More! This bundle is essential for anyone who wants to study Data Science and learn how the world is moving to an open-source platform. Whether you are a software engineer or a project manager, jump to the next level by developing a data-driven approach and learning how to define a data-driven vision of your business! Order Your Copy of the Bundle and Let Your Customers Start Their New Career Path Today!