Data Science Crash Course For Beginners

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Data Science Crash Course For Beginners With Python Fundamentals And Practices With Python

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Author : Ai Publishing
language : en
Publisher: AI Publishing LLC
Release Date : 2020-08-31

Data Science Crash Course For Beginners With Python Fundamentals And Practices With Python written by Ai Publishing and has been published by AI Publishing LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-31 with Computers categories.

Data Science Crash Course for Beginners with Python Data Science is here to stay. The tremendous growth in the volume, velocity, and variety of data has a substantial impact on every aspect of a business. While data continues to grow exponentially, accuracy remains a problem. This is where data scientists play a decisive role. A data scientist analyzes data, discovers new insights, paints a picture, and creates a vision. And a competent data scientist will provide a business with the competitive edge it needs and address pressing business problems. Data Science Crash Course for Beginners with Python presents you with a hands-on approach to learn data science fast. How Is This Book Different? Every book by AI Publishing has been carefully crafted. This book lays equal emphasis on the theoretical sections as well as the practical aspects of data science. Each chapter provides the theoretical background behind the numerous data science techniques, and practical examples explain the working of these techniques. In the Further Reading section of each chapter, you will find the links to informative data science posts. This book presents you with the tools and packages you need to kick-start data science projects to resolve problems of practical nature. Special emphasis is laid on the main stages of a data science pipeline--data acquisition, data preparation, exploratory data analysis, data modeling and evaluation, and interpretation of the results. In the Data Science Resources section, links to data science resources, articles, interviews, and data science newsletters are provided. The author has also put together a list of contests and competitions that you can try on your own. Another added benefit of buying this book is you get instant access to all the learning material presented with this book-- PDFs, Python codes, exercises, and references--on the publisher's website. They will not cost you an extra cent. The datasets used in this book can be downloaded at runtime, or accessed via the Resources/Datasets folder. The author simplifies your learning by holding your hand through everything. The step by step description of the installation of the software you need for implementing the various data science techniques in this book is guaranteed to make your learning easier. So, right from the beginning, you can experiment with the practical aspects of data science. You'll also find the quick course on Python programming in the second and third chapters immensely helpful, especially if you are new to Python. This book gives you access to all the codes and datasets. So, access to a computer with the internet is sufficient to get started. The topics covered include: Introduction to Data Science and Decision Making Python Installation and Libraries for Data Science Review of Python for Data Science Data Acquisition Data Preparation (Preprocessing) Exploratory Data Analysis Data Modeling and Evaluation Using Machine Learning Interpretation and Reporting of Findings Data Science Projects Key Insights and Further Avenues Click the BUY button to start your Data Science journey.

Data Science Crash Course For Beginners

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Author : A. I. Sciences OU
language : en
Publisher:
Release Date : 2021-03-25

Data Science Crash Course For Beginners written by A. I. Sciences OU and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-25 with categories.

This course lays the groundwork for further study into data science with Python for those students with little to no experienceKey Features* Crash course in Python programming to build or refresh any gaps in prerequisite knowledge* Real-world projects for hands-on practice in various data science tasks* Access to all codes and datasets free to view onlineBook DescriptionData science is here to stay. The tremendous growth in the volume, velocity, and variety of data has a substantial impact on every aspect of a business. While data continues to grow exponentially, accuracy remains a problem. This is where data scientists play a decisive role.A data scientist analyzes data, discovers new insights, paints a picture, and creates a vision. And a competent data scientist will provide a business with the competitive edge it needs and to address pressing business problems.Data Science Crash Course for Beginners with Python presents you with a hands-on approach to learn data science fast. This book presents you with the tools and packages you need to kick-start data science projects to resolve problems of a practical nature. Special emphasis is laid on the main stages of a data science pipeline--data acquisition, data preparation, exploratory data analysis, data modeling and evaluation, and interpretation of the results.The author simplifies your learning by providing detailed, guided instructions through everything. The step-by-step description of the installation of the software you need to implement the various data science techniques in this book is guaranteed to make your learning easier. So, right from the beginning, you can experiment with the practical aspects of data science. By the end of this course, you will have a solid grasp on the essential concepts of data science and its most fundamental implementations, laying the groundwork for your next steps no matter your chosen direction.The code bundle for this course is available at https://www.aispublishing.net/book-data-science-01What you will learn* Consider Natural Language Processing and decision making in data science* Install Python and libraries for data science* Review Python for data science* Study data acquisition* Practice data preparation (preprocessing)* Perform exploratory data analysis* Explore data modeling and evaluation using machine learning* Interpret data and report your findings* Successfully complete several data science projectsWho this book is forThis book is specifically designed for beginners in data science looking to build foundational tools and skills quickly, utilizing the Python programming language. No prior experience is required.

Data Science Crash Course For Beginners With Python Fundamentals And Practices With Python

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Author : Publishing Ai Publishing
language : en
Publisher:
Release Date : 2020

Data Science Crash Course For Beginners With Python Fundamentals And Practices With Python written by Publishing Ai Publishing and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.

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!

Essentials Of Data Science

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Author : Max Anderson
language : en
Publisher:
Release Date : 2019-10-04

Essentials Of Data Science written by Max Anderson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-04 with categories.

This mini course provides a super basic looking to data scienceThis mini course is designed to help those of you who are curious about data science develop a better and more specific understanding of the topic.In this crash course for beginners, you will learn about: Statistics: we talk about the types of data you'll encounter, types of averages, variance, standard deviation, correlation, and more.Data visualization: we talk about why we need to visualize our data, and the different ways of doing it (1 variable graphs, 2 variable graphs and 3 variable graphs.) Programming: we talk about why programming helps us with data science including the ease of automation and recommended Python libraries for you to get started with data science.This mini-course gives you a good basic insight into what the term 'data science' exactly entails, and it will triggers your curiosity to look into a career in data science!Scroll back up to the top of this page and hit BUY IT NOW to get your copy and start learning all you need to know about data science.

Data Science For Beginners

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Author : Andrew Park
language : en
Publisher:
Release Date : 2021-03-17

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 2021-03-17 with categories.

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 six 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 6-in-1 bundle is perfect for programmers, software engineers, project managers and those who just want to keep up with technology. Thanks to the first three books, Python for Beginners, Python for Intermediates and Python Advanced Guide, you will: Master The Basic Concepts Of Python Programming and set your way up to code like a pro (don't stress if you have no clue at first, everything you need is included) Find A Step-By-Step Guide On How To Use Python and basically do nothing, rather than follow the instructions (so simple) Build upon the fundamentals with advanced techniques like Object-Oriented Programming (OOP), Inheritance, and Polymorphism Catch On Great Ways To Develop Your Website Creation Skills and get paid to do things while you drink your coffee (that easy) Learn How To Build Arbitrary and Optional Arguments and find the best way to handle a circumstance (not many people know these!) Apply Storing Functions and simultaneously improve the code, and decompose complex problems into simpler pieces And There's Much More! In the last three books, Python for Data Analysis, Python Machine Learning and Python Data Science, you will: 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 become proficient in Python or study Data Science. Jump to the next level by learning new valuable skills and developing a data-driven approach! Order Your Copy of the Bundle and Start Your New Career Path Today!

Python For Data Science

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Author : Jason Wes
language : en
Publisher:
Release Date : 2019-10-22

Python For Data Science written by Jason Wes and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-22 with categories.

Are you a beginner and would like to learn Python in order to develop the necessary skills for data analysis and know where to start? Have you always wanted to start Data analysis but are afraid it'll be too difficult for you? this discursive guide is perfect to start learning python data analysis and python machine learning. Also many companies are finding that there is a wealth of data and knowledge available to them. With just a little bit of searching, they are able to learn almost any topic that they want. This provides them with a lot of important information that can answer many business questions. However, with all of this data available, it is no wonder that many companies are feeling overwhelmed, and they are not sure how to handle all of this data.This is where the data analysis is going to come into play. Data analysis helps us to take all of that data we have been able to collect, and then runs through it to find all of the insights and predictions, and even hidden patterns, that are present inside. With this information, a company is able to make sound business decisions about which products to release, which steps to take to beat out the competition, and so much more.this guidebook is going to take some time to explore this information, and how we can use it for our needs. Some of the topics that we will discuss are: What a data analysis is all about, and why it is so important to the success of your business. A bit about the Python language and why it can come in and help us to see success with our data analysis. The different types of data that we can work with. What machine learning is and the different types of machine learning the BEST TIPS we can follow to complete our data analysis How to add in some data visualization to our work to improve the results that we see. Examples of how we can perform a Python data analysis to improve our business and get some amazing results. Data analysis is one of the next steps that you have to take to bring yourself or your business to the next level. We cannot afford to be left behind. Technology doesn't wait. Scroll up and click the buy now button.

Data Science For Beginners

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Author : Russel R Russo
language : en
Publisher:
Release Date : 2020-10-30

Data Science For Beginners written by Russel R Russo and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-30 with categories.

Are you fascinated by Data Science but it seems too complicated? Do you want to learn everything about Artificial Intelligence but it looks like it is an exclusive club? If this is you, please keep reading: you are in the right place, looking at the right book. SInce you are reading these lines you have probably already noticed this: Artificial Intelligence is all around you. Your smartphone that suggests you the next word you want to type, your Netflix account that recommends you the series you may like or Spotify's personalised playlists. This is how machines are learning from you in everyday life. And these examples are only the surface of this technological revolution. Everyone knows (well, almost everyone) how important Data Science is for the growth and success of the biggest tech companies, and many people know about the Machine Learning impact in science, medicine and statistics. Also, it is quite commonly known that Artificial Intelligence, Machine Learning Deep Learning, and the mastering of their most important language, Python, can offer a lot of possibilities in work and business. And you yourself are probably thinking "I surely can see that opportunity, but how can I seize it?" Well, if you kept reading so far you are on the right track to answer your question. Either if you want to start your own AI entreprise, to empower your business or to work in the greatest and most innovative companies, Artificial Intelligence is the future, and Python and Neural Networks programming is The Skill you want to have. The good news is that there is no exclusive club, you can easily (if you commit, of course) learn how to find your way around Artificial Intelligence, Data Science, Deep Learning and Machine Learning, and to do that Data Science for Beginners is the best way. In Data Science for Beginners you will discover: The most effective starting points when training deep neural nets The smartest way to approach Machine Learning What libraries are and which one is the best for you Tips and tricks for a smooth and painless journey into artificial intelligence Why decision tree is the way The TensorFlow parts that are going to make your coding life easy Why python is the best language for Machine Learning How to bring your ideas into a computer How to talk with deep neural networks How to deal with variables and data The most common myths about Machine Learning debunked Even If you don't know anything about programming, understanding Data Science is the ideal place to start. Still, if you already know something about programming but not about how to apply it to Artificial Intelligence, Data Science is what you want to understand. Buy now Data Science for Beginners to start your path of Artificial Intelligence.

The Beginner S Guide To Data Science

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Author : Robert Ball
language : en
Publisher: Springer Nature
Release Date : 2022-11-15

The Beginner S Guide To Data Science written by Robert Ball and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-15 with Computers categories.

This book discusses the principles and practical applications of data science, addressing key topics including data wrangling, statistics, machine learning, data visualization, natural language processing and time series analysis. Detailed investigations of techniques used in the implementation of recommendation engines and the proper selection of metrics for distance-based analysis are also covered. Utilizing numerous comprehensive code examples, figures, and tables to help clarify and illuminate essential data science topics, the authors provide an extensive treatment and analysis of real-world questions, focusing especially on the task of determining and assessing answers to these questions as expeditiously and precisely as possible. This book addresses the challenges related to uncovering the actionable insights in “big data,” leveraging database and data collection tools such as web scraping and text identification. This book is organized as 11 chapters, structured as independent treatments of the following crucial data science topics: Data gathering and acquisition techniques including data creation Managing, transforming, and organizing data to ultimately package the information into an accessible format ready for analysis Fundamentals of descriptive statistics intended to summarize and aggregate data into a few concise but meaningful measurements Inferential statistics that allow us to infer (or generalize) trends about the larger population based only on the sample portion collected and recorded Metrics that measure some quantity such as distance, similarity, or error and which are especially useful when comparing one or more data observations Recommendation engines representing a set of algorithms designed to predict (or recommend) a particular product, service, or other item of interest a user or customer wishes to buy or utilize in some manner Machine learning implementations and associated algorithms, comprising core data science technologies with many practical applications, especially predictive analytics Natural Language Processing, which expedites the parsing and comprehension of written and spoken language in an effective and accurate manner Time series analysis, techniques to examine and generate forecasts about the progress and evolution of data over time Data science provides the methodology and tools to accurately interpret an increasing volume of incoming information in order to discern patterns, evaluate trends, and make the right decisions. The results of data science analysis provide real world answers to real world questions. Professionals working on data science and business intelligence projects as well as advanced-level students and researchers focused on data science, computer science, business and mathematics programs will benefit from this book.

Python Data Science For Beginners 2021

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Author : Steven Williams
language : en
Publisher:
Release Date : 2020-11-27

Python Data Science For Beginners 2021 written by Steven Williams and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-27 with Computers categories.

If you want to learn more about Data Science or how to master it with the Python Programming Language Step-by-Step, then keep reading. Data Science is one of the biggest buzzwords in the business world nowadays. Many businesses know the importance of collecting information, but as they can collect so much data in a short period, the real question is: "what is the next step?" Data Science includes all the different steps that you take with the data: collecting and cleaning them if they come from more than one source, analyzing them, applying Machine Learning algorithms and models, and then presenting your findings from the analysis with some good Data Visualizations. You will learn about the main steps that are needed to correctly implement Data Science techniques and the algorithms to help you sort through the data and see some amazing results. Some of the topics that we will discuss inside include -A thorough and simple explanation of data science and the way it works -Basics of data science and fundamental skills you need to get started -A blueprint for the most used frameworks for Python data science -How to process and understand the data and design your own projects -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 -What is the intersection between Machine Learning and Data Science and how to combine them -Functions and Modules in Python -Data Aggregation and Group Operations -Interaction with databases and data in the cloud -And Much More! Even if you have never implemented Data Science techniques, learning them is easier than it looks. You just need the right guidance. And Python Data Science provides all the knowledge you need in a simple and practical way. Regardless of your previous experience, you will learn, the techniques to manipulate and process datasets, the principles of Python programming, and its most important real-world applications. Would You Like To Know More? Scroll up and click on the BUY NOW button to get your copy now!