Data Science Made Simple: A Beginner's Journey for All PDF Download

Author: M.B. Chatfield
Publisher: M.B, Chatfield
ISBN:
Category : Computers
Languages : en
Pages : 106

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Book Description
Unleash the power of data science to make informed decisions, solve problems, and innovate. Data science is a rapidly growing field that is changing the way we live, work, and learn. It is the process of extracting knowledge and insights from data, and it can be used to solve a wide range of problems. Data Science Made Simple is the perfect resource for anyone who wants to learn the basics of data science. This comprehensive guide covers everything you need to know, from the basics of data science to advanced topics such as machine learning and artificial intelligence. With clear explanations, this book will help you: Understand the basics of data science Choose the right data science tools and techniques for your task Collect, clean, and analyze data Build data science models Communicate your data science findings Whether you're a student, a business professional, or a data enthusiast, Data Science Made Simple is the essential resource for learning about data science. Here are some of the key topics covered in the book: Introduction to data science Data collection Data cleaning Data analysis Data modeling Data communication With Data Science Made Simple, you'll be well on your way to becoming a data science expert. If you are a beginner who wants to learn about data science, Data Science Made Simple is a great place to start.

Author: Andrew Park
Publisher: Independently Published
ISBN:
Category :
Languages : en
Pages : 732

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Book Description
Master the world of Python, Data Analysis, Machine Learning and Data Science with this comprehensive 4-in-1 bundle. Do you want to learn more about the amazing world of Data Science? Or are you interested in becoming a Python geek? Then keep reading. Created with the beginner in mind, this powerful bundle delves into the fundamentals behind Python and Data Science, from basic code and concepts to complex Neural Networks and data manipulation. Inside, you'll discover everything you need to know to get started with Python and Data Science, and begin your journey to success! In book one, PYTHON FOR BEGINNERS, you will learn: How to install Python What are the different Python Data Types, Variables and Basic Operators Data Structures, Functions and Files Conditional and Loops in Python Object-Oriented Programming (OOP), Inheritance and Polymorphism Essential Programming Tools and Exception Handling An application to Decision Trees And Much More! In book two, PYTHON FOR DATA ANALYSIS, you will learn: What Data Analysis is all about and why businesses are investing in this sector The 5 steps of a Data Analysis Neural Network The 7 Python libraries that make Python one of the best choices for Data Analysis How Data Visualization and Matplotlib can help you to understand the data you are working with. Some of the main industries that are using data to improve their business with 14 real-world applications And Much More! In book three, PYTHON MACHINE LEARNING, you will learn: What is Machine Learning and how it is applied in real-world situations Understanding the differences between Machine Learning, Deep Learning, and Artificial Intelligence Machine learning training models, Regression techniques and Linear Regression in Python How to use Lists and Modules in Python The 12 essential libraries for Machine Learning in Python Artificial Neural Networks And Much More! And in book four, PYTHON DATA SCIENCE, you will learn: What Data Science is all about and why so many companies are using it to give them a competitive edge. Why Python and how to use it to implement Data Science The main Data Structures & Object-Oriented Programming, Functions and Modules in Python with practical codes and exercises The 7 most important algorithms and models in Data Science Data Aggregation, Group Operations, Databases and Data in the Cloud 9 important Data Mining techniques in Data Science And So Much More! Whether you're a complete beginner or a programmer looking to improve his skillset, Data Science for Beginners is your all-in-one solution to mastering the world of Python and Data Science. Would you like to know more?Scroll Up and Click on the BUY NOW Button to Get Your Copy!

Author: Enamul Haque
Publisher:
ISBN: 9781447826552
Category :
Languages : en
Pages : 0

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Book Description
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.

Author: Alex Campbell
Publisher:
ISBN:
Category :
Languages : en
Pages : 86

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Book Description
Do you wonder what the fascination is around data these days? How do we obtain insights from this data? Do you know what a data scientist does? What is artificial intelligence and machine learning? Are these the same as data science? What does it take to become a data scientist? If you have ever wondered about these questions, you have come to the right place!There are many resources and courses online that you can use to learn more about data science, but with so much information available, it can become overwhelming. One of the best ways to learn about data science is to understand different machine learning concepts, statistics, and artificial intelligence to help you design models to perform an analysis.This book has all the information you need to learn what data science is, and what the prerequisites are to become a data scientist. If you're a beginner or if you already have experience in data science, this book will have something for you.In this book, you will: Learn what data science is about.Discover the difference between data science and business intelligence.Explore the tools required for data science.Find out the technical and non-technical skills every data scientist must have.Figure out how to create a visualization of the data set with clear and easy examples.Get advice on developing a Predictive Model Using R.Uncover detailed applications of data science.And much more!The book has been structured with easy-to-understand sections to help you learn everything you need to know about data science. In this book you will learn about the prerequisites of data science and the skills you need to become a data scientist. So, what are you waiting for? Grab your copy of this comprehensive guide now

Author: Steve Geddis
Publisher:
ISBN: 9781914052200
Category :
Languages : en
Pages : 0

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Book Description
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!

Author: Benjamin Smith
Publisher:
ISBN:
Category :
Languages : en
Pages : 562

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Book Description
This book appeals to the reader's desire to explore the world of data science in a manner that is not too technical and not too plain, but somewhere in between. This book targets this sweet spot and provides comprehensive yet brief explanations to concepts that might be otherwise misunderstood or easily ignored by the reader due to their inherent complexity.This book covers the very key and fundamental concepts towards systematically understanding data science by drawing a well-defined road map addressing each topic in such a way that every section of every chapter reinforces the concepts and information laid out in the previous chapters. The main focus of this book is to give the reader insight into the processes involved in data science projects and shed light onto some of the most common aspects of data science, including big data and how it impacts the world. This book attempts to build a solid foundation of the concepts pertaining to data science. It will prove to be the infrastructure that will lead you to one day become a data science expert. In short, this book has all the necessary information a beginner level data scientist would have along with setting up for future improvement by reinforcing this knowledge with the intermediate and expert level books of the data science series.Are you interested in learning one of the sexiest jobs of the century? That's what Harvard Business School terms data science as. Let's face it; data scientists possess skills and qualities that are in more demand now than ever before and that's not surprising, given the sheer amount of data the world produces. So, what is data science?It's all data and it's about transforming it into something that businesses can use, and data scientists do this with a great deal of skill and knowledge in math, statistics, algorithms and more. At first glance, you might dismiss data science as being far too hard to learn, but it's like anything else - break it down into smaller parts and you'll find it much easier to grasp.That's what I've done here - broken the subject down into each of its realms, to give you a better idea of what it is all about. In this book, you will learn: -What data science is-How data science relates to and differs from artificial intelligence and machine learning-Math and statistics-Descriptive and inferential analysis-What data engineering is-What data visualization is-The different types of visualization-An introduction to Seaborn-What machine learning is and how it relates to data science-Different types of machine learning-Different ML algorithms-The steps required for successful machine learningAlong the way you will find plenty of practical examples and we finish off with a series of questions you might be asked at a data science interview, along with detailed answers, and a glossary of terms.Don't waste any more time; start your data science journey today by clicking the Buy Now button.

Author: Henry George
Publisher:
ISBN:
Category :
Languages : en
Pages : 218

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Book Description
Do you want to learn what data science is all about? Familiar with Python and wonder how to use it to its fullest extent? Then this guide is for you.Learn how to set up your data science toolbox containing all the important tools you will need to complete a data science project. Python is the number one programming language for data science and this book will walk you through a project, allowing you to get familiar with the tools so you can move on to your own projects.Earn how to preprocess data, load it, transform it and fix it for the purpose of analysis. Learn how to explore data and how to process it before looking at the fundamental machine learning algorithms required for data science, at graph analysis and visualization tools. You will learn: -How to use Python to set up your data science toolbox-How to prepare data-How to solve data science problems-How to explore and manipulate data-All about the data science pipeline and how to set one up-How to choose the right algorithm for the right task-The visualization tools you need to present your resultsData science is here and it's here to stay so start your data science journey right now by clicking that Buy Now button.

Author: Phil J Hack
Publisher:
ISBN: 9781708242558
Category :
Languages : en
Pages : 178

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Book Description
Learn Data Science NOW. Stop asking yourself where and how to start. Keep reading and find out how this book can help you with your journey. Are you afraid not to understand the technical language of data science? If so, let me tell you something. We all have to start somewhere. Approaching data science can be overwhelming, not if you have in your hands the right tools since day one. Once you start, I can guarantee you, you will want to learn more and more. Data science is an interdisciplinary subject that brings together three different fields of study. All three fields lie at the intersection of business intelligence and big data. More specifically this book will take you through: Which specific tools and analysis you need to know Various aspects involved in Data Mining Types, Quality and Data Preprocessing Things you must know for machine learning to be successful Utilizations and Procedure of Data Science How to exactly set up the appropriate environment for your machine learning needs....and much more!! Even if you never approached Data Science before, you now have the chance to deeply understand every concept and become more confident in what you want to achieve next. Data Science from Scratch has been written thinking of your needs and how to help you get started. The more you wait, the harder it gets. What are you waiting for? Scroll to the top and select on the right the BUY NOW with 1-Clickbutton.

Author: Liam Damien
Publisher:
ISBN: 9781713149798
Category :
Languages : en
Pages : 156

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Book Description
Data science is rapidly expanding its horizons to places never thought possible. It can be quite difficult to keep up with the innovations, which take place every day. Are you new to the realms of data science? If you are, you will have to agree that it can be quite discouraging to even start when looking at the technical aspects of the discipline. Relax. With our help, we are positive that you will become an expert in no time. Are you looking to learn more about data science? Well, this book will be the perfect solution to cater for your cravings! With an in-depth study of data science and its various components, this book is made specifically with beginners in mind. Get to learn the basics of data science and how to gain practical experience with words and terms, which are broken down for easy understanding. Here are some of the things that you will learn from this book;A complete history of data science and why learning data science will be a great choice. The study of Linear Algebra and mathematics and how you can effectively apply it to data scienceThe study of python programming and how you can become an expert at itThe study of machine learning and how it is forever interwoven with data scienceData visualization and how it is fundamentally different from data miningThe various ways in which you can gain practical experience in data scienceThe book will also seek to ensure that you have the right foundation from data science to branch out into other fields.Data science is surely going to benefit you in the long run. This book will seek to show you the benefits of data science and the impacts and satisfaction that comes from setting out on the road to being a data scientist. We are positive you'll enjoy reading every chapter of it.

Author: Alejandro Garcia
Publisher: Alejandro Garcia
ISBN:
Category : Computers
Languages : en
Pages : 59

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Book Description
This book brings to you a simple yet effective 40 to 60 mins introduction that will clear all your doubts about Data Sience and will answer some important questions like: What is data Science ? The book explores all the initial concepts a person might want to know about the data science workflow. There’s not coding, math or statistics required to successfully understand the goals and end results of this process. This book takes you on an exclusive tour of datasets and sites to download your first datasets. Then jumps into a comprehensive and easy-to-follow data science process letting you go through 3 data visualization projects. (Python Code Understanding is Recommended for the Data Visualization projects) - 40 to 60 mins reading time. - 3 Data Visualization projects. - 10 Datasets sources. - 26 Quality datasets for your first visualizations. - Get the code and reuse in your own projects. The ebook covers: - Intro to Data Science. - The Workflow of Data Science. - Data Science and Machine Learning. - Datasets to start right away. - Data Visualization Projects. (Python Code Understanding Recommended)