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

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Data Science Crash Course for Beginners with Python: Fundamentals and Practices with Python

Author : Ai Publishing
Publisher : AI Publishing LLC
ISBN 13 : 9781734790146
Total Pages : 310 pages
Book Rating : 4.7/5 (91 download)

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Book Synopsis Data Science Crash Course for Beginners with Python: Fundamentals and Practices with Python by : Ai Publishing

Download or read book Data Science Crash Course for Beginners with Python: Fundamentals and Practices with Python written by Ai Publishing and published by AI Publishing LLC. This book was released on 2020-08-31 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 With Python : Fundamentals And Practices With Python

Author : Publishing Ai Publishing
Publisher :
ISBN 13 : 9781956591057
Total Pages : pages
Book Rating : 4.5/5 (91 download)

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Book Synopsis Data Science Crash Course For Beginners With Python : Fundamentals And Practices With Python by : Publishing Ai Publishing

Download or read book Data Science Crash Course For Beginners With Python : Fundamentals And Practices With Python written by Publishing Ai Publishing and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Python Crash Course for Data Analysis: A Complete Beginner Guide for Python Coding, NumPy, Pandas and Data Visualization

Author : Ai Publishing
Publisher : AI Publishing LLC
ISBN 13 : 9781733042642
Total Pages : 168 pages
Book Rating : 4.0/5 (426 download)

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Book Synopsis Python Crash Course for Data Analysis: A Complete Beginner Guide for Python Coding, NumPy, Pandas and Data Visualization by : Ai Publishing

Download or read book Python Crash Course for Data Analysis: A Complete Beginner Guide for Python Coding, NumPy, Pandas and Data Visualization written by Ai Publishing and published by AI Publishing LLC. This book was released on 2019-09-22 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: **GET YOUR COPY NOW, the price will be 21.99$ soon**Learn Python coding for Data Analysis from scratch very easilyWelcome to the Python Crash Course for Data Analysis!The book offers you a solid introduction to the world of Python Coding for data analysis. In this book, you'll learn fundamentals that will enable you to go further in Python Coding, launch or advance a career, and join the next generation of Data Analyst talent that will help define a beneficial, new, powered future for our world. You will study important libraries such as NumPy, Pandas and some Data Visualization libraries.Educational Objectives: This introductory book teaches the foundational skills all Python programmers use to analyze data. It is ideal for beginners who want to learn Python coding or Python for Data Analysis, make informed choices about career goals, and set themselves up for success in this path. At the end of this learning, you will become an great Python Programmer for data Analysis, and learn to analyse data using frameworks like NumPy, Pandas and Matplotlib. Prerequisites: No prior experience with programming is required. You will need to be comfortable with basic computer skills, such as managing files, running programs, and using a web browser to navigate the Internet.You will need to be self-driven and genuinely interested in the Python Coding. No matter how well structured the program is, any attempt to learn programming will involve many hours of studying, practice, and experimentation. Success in this book requires devoting at least 10 hours to your work. This requires some tenacity, and it is especially difficult to do if you don't find Python coding interesting or aren't willing to play around and tinker with your code-so drive, curiosity, and an adventurous attitude are highly recommended!You will need to be able to learn English.Contact Info: While going through the book, if you have questions about anything, you can reach us at [email protected].**GET YOUR COPY NOW, the price will be 15.99$ soon**

Python Crash Course

Author : Eric Matthes
Publisher : No Starch Press
ISBN 13 : 1593277393
Total Pages : 564 pages
Book Rating : 4.5/5 (932 download)

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Book Synopsis Python Crash Course by : Eric Matthes

Download or read book Python Crash Course written by Eric Matthes and published by No Starch Press. This book was released on 2015-11-01 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: Python Crash Course is a fast-paced, thorough introduction to Python that will have you writing programs, solving problems, and making things that work in no time. In the first half of the book, you’ll learn about basic programming concepts, such as lists, dictionaries, classes, and loops, and practice writing clean and readable code with exercises for each topic. You’ll also learn how to make your programs interactive and how to test your code safely before adding it to a project. In the second half of the book, you’ll put your new knowledge into practice with three substantial projects: a Space Invaders–inspired arcade game, data visualizations with Python’s super-handy libraries, and a simple web app you can deploy online. As you work through Python Crash Course you’ll learn how to: –Use powerful Python libraries and tools, including matplotlib, NumPy, and Pygal –Make 2D games that respond to keypresses and mouse clicks, and that grow more difficult as the game progresses –Work with data to generate interactive visualizations –Create and customize Web apps and deploy them safely online –Deal with mistakes and errors so you can solve your own programming problems If you’ve been thinking seriously about digging into programming, Python Crash Course will get you up to speed and have you writing real programs fast. Why wait any longer? Start your engines and code! Uses Python 2 and 3

Data Science from Scratch with Python

Author : Steve Geddis
Publisher :
ISBN 13 : 9781914052200
Total Pages : 0 pages
Book Rating : 4.0/5 (522 download)

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Book Synopsis Data Science from Scratch with Python by : Steve Geddis

Download or read book Data Science from Scratch with Python written by Steve Geddis and published by . This book was released on 2020-10-08 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Programming

Author : Andrew Park
Publisher :
ISBN 13 :
Total Pages : 304 pages
Book Rating : 4.6/5 (775 download)

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Book Synopsis Python Programming by : Andrew Park

Download or read book Python Programming written by Andrew Park and published by . This book was released on 2020-08-22 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you want to learn Python in one week (or less) and learn it well, with useful applications to Data Analysis, Machine Learning and Data Science, then keep reading. Python is one of the most beloved programming languages in any circle of programmers. Software engineers, hackers, and Data Scientists alike are in love with the versatility that Python has to offer. Besides, the Object-Oriented feature of Python coupled with its flexibility is also one of the major attractions for this language. That's the reason why Python is a perfect fit with Data Analysis, Machine Learning and Data Science. Data is the future. The world of technology as we know it is evolving towards an open-source platform where people share ideas freely. This is seen as the first step towards the decentralization of ideas and eliminating unnecessary monopolies. Therefore, the data, tools, and techniques used in the analysis are easily available for anyone to interpret data sets and get relevant explanations. The goal of this 4-in-1 bundle is simple: explaining everything you need to know to Master Python. With a special emphasis on the main steps that are needed to correctly implement Data Analysis and Machine Learning algorithms, In manuscript one, Python for Beginners, you will learn: How to install Python What are the different Python Data Types and Variables Basic Operators of Python Language Data Structures and Functions Conditional and Loops in Python And Much More! In manuscript two, Python Advanced Guide, you will master: Object-Oriented Programming (OOP), Inheritance and Polymorphism Essential Programming Tools Exception Handling Working with Files And Much More! In manuscript three, 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 The 7 Python libraries that make Python one of the best choices for Data Analysis Pandas, Jupyter and PyTorch And Much More! In manuscript four, Applications to Data Science, you will understand: How Data Visualization and Matplotlib can help you to understand the data you are working with. Neural Networks Decision Trees What industries are using data to improve their business with 14 real-world applications And So Much More! Where most books about Python programming are theoretical and have few or little practical examples, this book provides lots of simple, step-by-step examples and illustrations that are used to underline key concepts and help improve your understanding. Furthermore, topics are carefully selected to give you broad exposure to Python, while not overwhelming you with too much information. Also, the outputs of ALL the examples are provided immediately so you do not have to wait till you have access to your computer to test the examples. Even if you have never coded before, this is the perfect guide because it breaks down complex concepts into simple steps and in a concise and simple way that fits well with beginners. Regardless of your previous experience, you will learn the steps of Data Analysis, how to implement them, and the most important real-world applications. Would you like to know more?Scroll Up and Click the BUY NOW Button to Get Your Copy!

Statistics Crash Course for Beginners

Author : Ai Publishing
Publisher :
ISBN 13 : 9781734790160
Total Pages : 330 pages
Book Rating : 4.7/5 (91 download)

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Book Synopsis Statistics Crash Course for Beginners by : Ai Publishing

Download or read book Statistics Crash Course for Beginners written by Ai Publishing and published by . This book was released on 2020-11-11 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: Frequentist and Bayesian Statistics Crash Course for Beginners Data and statistics are the core subjects of Machine Learning (ML). The reality is the average programmer may be tempted to view statistics with disinterest. But if you want to exploit the incredible power of Machine Learning, you need a thorough understanding of statistics. The reason is a Machine Learning professional develops intelligent and fast algorithms that learn from data. Frequentist and Bayesian Statistics Crash Course for Beginners presents you with an easy way of learning statistics fast. Contrary to popular belief, statistics is no longer the exclusive domain of math Ph.D.s. It's true that statistics deals with numbers and percentages. Hence, the subject can be very dry and boring. This book, however, transforms statistics into a fun subject. Frequentist and Bayesian statistics are two statistical techniques that interpret the concept of probability in different ways. Bayesian statistics was first introduced by Thomas Bayes in the 1770s. Bayesian statistics has been instrumental in the design of high-end algorithms that make accurate predictions. So even after 250 years, the interest in Bayesian statistics has not faded. In fact, it has accelerated tremendously. Frequentist Statistics is just as important as Bayesian Statistics. In the statistical universe, Frequentist Statistics is the most popular inferential technique. In fact, it's the first school of thought you come across when you enter the statistics world. How Is This Book Different? AI Publishing is completely sold on the learning by doing methodology. We have gone to great lengths to ensure you find learning statistics easy. The result: you will not get stuck along your learning journey. This is not a book full of complex mathematical concepts and difficult equations. You will find that the coverage of the theoretical aspects of statistics is proportionate to the practical aspects of the subject. The book makes the reading process easier by presenting you with three types of box-tags in different colors. They are: Requirements, Further Readings, and Hands-on Time. The final chapter presents two mini-projects to give you a better understanding of the concepts you studied in the previous eight chapters. The main feature is you get instant access to a treasure trove of all the related learning material when you buy this book. They include PDFs, Python codes, exercises, and references--on the publisher's website. You get access to all this learning material at no extra cost. You can also download the Machine Learning datasets used in this book at runtime. Alternatively, you can access them through the Resources/Datasets folder. The quick course on Python programming in the first chapter will be immensely helpful, especially if you are new to Python. Since you can access all the Python codes and datasets, a computer with the internet is sufficient to get started. The topics covered include: A Quick Introduction to Python for Statistics Starting with Probability Random Variables and Probability Distributions Descriptive Statistics: Measure of Central Tendency and Spread Exploratory Analysis: Data Visualization Statistical Inference Frequentist Inference Bayesian Inference Hands-on Projects Click the BUY NOW button and start your Statistics Learning journey.

Python Programming

Author : Jason Test
Publisher :
ISBN 13 :
Total Pages : 359 pages
Book Rating : 4.6/5 (717 download)

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Book Synopsis Python Programming by : Jason Test

Download or read book Python Programming written by Jason Test and published by . This book was released on 2020-08-03 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you looking for a super-fast computer programming course? Would you like to learn the Python Programming Language in 7 days? Do you want to increase your business thanks to the web applications? If so, keep reading: this bundle book is for you! Finally on launch the most complete Python guide with 3 Manuscripts in 1 book: 1-Python for beginners 2-Python for Data Science 4-Python Crash Course Python will introduce you many selected practices for coding . You will discover as a beginner the world of data science, machine learning and artificial intelligence. The following list is just a tiny fraction of what you will learn in this collection bundle. 1) Python for beginners ✓ The basics of Python programming ✓ Differences among programming languages ✓ Vba, SQL, R, Python ✓ Game creation with Pyhton ✓ Easy-to-follow steps for reading and writing codes. ✓ Control flow statements and Error handling ✓ 4 best strategies with NumPy, Pandas, Matplotlib 2) Python for Data science ◆ 4 reason why Python is fundamental for Data Science ◆ Python design patterns ◆ How to use Python Data Analysis in your business ◆ Data visualization optimal tools and techniques ◆ Analysis of popular Python projects templates ◆ How to set up the Python environment for Data Science ◆ Most important Machine Learning Algorithms ◆ How to leverage Data Science in the Cloud 3) Python Crash Course * A Proven Method to Write your First Program in 7 Days * 5 Common Mistakes to Avoid when You Start Coding * A Simple Strategy to Write Clean, Understandable and Flexible Codes * The One Thing You Need to Debug your Codes in Python * 5 Practical exercises to start programming Even if you have never written a programming code before, you will quickly grasp the basics thanks to visual charts and guidelines for coding. Examples and step-by-step guides will guide you during the code-writing learning process. The description of each topic is crystal-clear and you can easily practice with related exercises. You will also learn all the best tricks of writing codes with point by point descriptions of the code elements. If you really wish to to learn Python and master its language, please click the BUY NOW button.

Python Data Science for Beginners

Author : Oliver R Simpson
Publisher :
ISBN 13 : 9781801203258
Total Pages : 266 pages
Book Rating : 4.2/5 (32 download)

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Book Synopsis Python Data Science for Beginners by : Oliver R Simpson

Download or read book Python Data Science for Beginners written by Oliver R Simpson and published by . This book was released on 2020-11-02 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: - Do you want to learn about Data Science from absolute scratch? - Do you want to learn how to program with Python? And become a Data Scientist? - Do you want to have an established and well-paid job for the next few years? And earn a lot of money? If your answer is Yes, keep reading... Python is an excellent computer programming language used for many different functions. The large community behind this open-source language has developed several tools to competently work with Python. In recent years, different tools have been developed specifically for data science. Therefore, analyzing data using Python has never been simplified. In this book, you will kick start your career in python data science with basic arithmetic and variables; you will learn how to work with Python lists, Pandas, and Dataframes. As you continue, you will be introduced to the concept of Python functions and control flow. Besides that, you will also learn about data visualizations with Python and build your own beautiful visualizations. Even if you have never written a single python code, you'll be able to follow this book and see how Python makes Data Science simple. Besides getting familiar with the basic Python syntax and common Data Science modules such as charts and graphs, you will also learn something about Bayes. What you will learn: Explore Python fundamentals and basic syntax Build and manipulate regular Python lists Build and customize plots on real data. Use functions and import packages. You will learn different kinds of plots Python libraries And many more... If you don't want to stay out of the world of work... If you don't want to be crushed by the greatest industrial revolution in history, but you want to be an active part of this evolution and enjoy its benefits as much as possible.... Then act now and don't miss this opportunity, I'm giving you!What are you waiting for?

Python Crash Course, 2nd Edition

Author : Eric Matthes
Publisher : No Starch Press
ISBN 13 : 1593279280
Total Pages : 546 pages
Book Rating : 4.5/5 (932 download)

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Book Synopsis Python Crash Course, 2nd Edition by : Eric Matthes

Download or read book Python Crash Course, 2nd Edition written by Eric Matthes and published by No Starch Press. This book was released on 2019-05-03 with total page 546 pages. Available in PDF, EPUB and Kindle. Book excerpt: The best-selling Python book in the world, with over 1 million copies sold! A fast-paced, no-nonsense, updated guide to programming in Python. If you've been thinking about learning how to code or picking up Python, this internationally bestselling guide to the most popular programming language is your quickest, easiest way to get started and go! Even if you have no experience whatsoever, Python Crash Course, 2nd Edition, will have you writing programs, solving problems, building computer games, and creating data visualizations in no time. You’ll begin with basic concepts like variables, lists, classes, and loops—with the help of fun skill-strengthening exercises for every topic—then move on to making interactive programs and best practices for testing your code. Later chapters put your new knowledge into play with three cool projects: a 2D Space Invaders-style arcade game, a set of responsive data visualizations you’ll build with Python's handy libraries (Pygame, Matplotlib, Plotly, Django), and a customized web app you can deploy online. Why wait any longer? Start your engine and code!

Learn Python

Author : Damon Parker
Publisher : Damon Parker
ISBN 13 :
Total Pages : 141 pages
Book Rating : 4./5 ( download)

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Book Synopsis Learn Python by : Damon Parker

Download or read book Learn Python written by Damon Parker and published by Damon Parker. This book was released on 2021-06-12 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: Python programming language has rendered itself as the language of choice for coding beginners and advanced software programmers alike. This book is written to help you master the basic concepts of Python coding and how you can utilize your coding skills to analyze a large volume of data and uncover valuable information that can otherwise be easily lost in the volume. It was designed primarily to emphasize the readability of the programming code, and its syntax enables programmers to convey ideas using fewer lines of code. Python programming language increases the speed of operation while allowing for higher efficiency in creating system integrations. Some of the highlights of the book include: - Key features and advantages of learning to code Python as well as the history of how Python programming was created - Step-by-step instructions on how to install Python on your operating systems (Windows, Mac, and Linux) - The concept of Python data types is presented in exquisite detail with various examples of each data type - How to create Python variables - Comprehensive lists of a variety of built-in functions and methods supported by Python - Basic concepts of writing efficient and effective Python codes, focusing on various programming elements - How to write if and else statements to retrieve desired information from your data - For and While loops are explained with explicit details in an easy-to-understand language - Basic concepts of big data analysis and machine learning algorithms - A brief overview of various renowned machine learning libraries All the concepts are explained with standard Python coding syntax supported with relevant examples and followed by exercises to help you test and verify your understanding of those concepts. Finally, as an added bonus you will learn some Python tips and tricks to take your machine learning programming game to the next level. Remember, knowledge is power, and with the great power you will gather from this book, you will be armed to make sound personal and professional technological choices. Your Python programming skillset will improve drastically, and you will be poised to develop your very own machine learning model! Don't you think it can be that easy? If you really want to have proof of all this, don't waste any more time! Grab your copy now!

Python Data Science for Beginners

Author : Oliver Simpson
Publisher : Independently Published
ISBN 13 : 9781708516086
Total Pages : 265 pages
Book Rating : 4.5/5 (16 download)

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Book Synopsis Python Data Science for Beginners by : Oliver Simpson

Download or read book Python Data Science for Beginners written by Oliver Simpson and published by Independently Published. This book was released on 2019-11-15 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: Do you want to learn about Data Science from absolute scratch? Do you want to learn how to program with Python? And become a Data Scientist? Do you want to have an established and well-paid job for the next few years? And earn a lot of money? If your answer is Yes, keep reading... Python is an excellent computer programming language used for many different functions. The large community behind this open-source language has developed several tools to competently work with Python. In recent years, different tools have been developed specifically for data science. Therefore, analyzing data using Python has never been simplified. In this book, you will kick start your career in python data science with basic arithmetic and variables; you will learn how to work with Python lists, Pandas, and Dataframes. As you continue, you will be introduced to the concept of Python functions and control flow. Besides that, you will also learn about data visualizations with Python and build your own beautiful visualizations. Even if you have never written a single python code, you'll be able to follow this book and see how Python makes Data Science simple. Besides getting familiar with the basic Python syntax and common Data Science modules such as charts and graphs, you will also learn something about Bayes. What you will learn: Explore Python fundamentals and basic syntax Build and manipulate regular Python lists Build and customize plots on real data. Use functions and import packages. You will learn different kinds of plots Python libraries And many more... If you don't want to stay out of the world of work... If you don't want to be crushed by the greatest industrial revolution in history, but you want to be an active part of this evolution and enjoy its benefits as much as possible.... Then act now and don't miss this opportunity, I'm giving you! What are you waiting for? ★★★ Scroll up and hit the Buy button!!! ★★★

Data Science for Beginners

Author : Andrew Park
Publisher :
ISBN 13 :
Total Pages : 398 pages
Book Rating : 4.7/5 (234 download)

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Book Synopsis Data Science for Beginners by : Andrew Park

Download or read book Data Science for Beginners written by Andrew Park and published by . This book was released on 2021-03-17 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Data Science For Beginners 2021

Author : Steven Williams
Publisher :
ISBN 13 : 9781801324052
Total Pages : 238 pages
Book Rating : 4.3/5 (24 download)

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Book Synopsis Python Data Science For Beginners 2021 by : Steven Williams

Download or read book Python Data Science For Beginners 2021 written by Steven Williams and published by . This book was released on 2020-11-27 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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!

Python

Author : TechExp Academy
Publisher :
ISBN 13 :
Total Pages : 629 pages
Book Rating : 4.5/5 (979 download)

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Book Synopsis Python by : TechExp Academy

Download or read book Python written by TechExp Academy and published by . This book was released on 2021-01-20 with total page 629 pages. Available in PDF, EPUB and Kindle. Book excerpt: Do you want to learn Python Programming well and fast? Are you looking for the best Python for Data Analysis and Analytics course? Do you want to learn Data Science and how to leverage Python for it? Do want to learn Python Machine Learning and start implementing models? If yes, then this Python for Beginners Crash Course is for you. This is the most complete Python guide with 5 Manuscripts in 1 book: 1-Python For Beginners 2-Python Advanced Programming 3-Python for Data Analysis & Analytics 4-Python for Data Science 5-Python Machine Learning 450+ Pages of Pure Learning! A great opportunity: Simplicity, Best Order and Selection of topics to Learn Fast and Selected Practice Exercises and Examples. In Manuscripts 1 and 2 "Python For Beginners" and "Python Advanced Programming" you'll learn: - What is Python - How to install Python and what is the best distribution - What are data types and variables - How to work with numbers in Python - What operators there are in Python and when to use them - How to manipulate Strings - How to implement Program Flow Controls - How to implement loops in Python - What are Python lists, Tuples, Sets, Dictionaries, and how to use them - How to create modules and functions - How to program according to the Object-Oriented paradigm - How to create classes - What are and how to use Inheritance, Polymorphism, Abstraction, and Encapsulation And much more... In Manuscript 3 "Python for Data Analysis & Analytics" you'll learn: - What Data Analysis is and why it is important - What are the different types of Data Analysis - What are the 6 key steps of the Data Analysis process that you should follow - What are the applications of Data Analysis and Analytics - How to set up the Python environment for Data Analysis - What are and how to use Python Data Structures - How to work with IPython/Jupyter Notebook - How to work with NumPy - How to visualize data with Matplotlib - What other visualization libraries are out there - Why is Big Data important and how to get the best out of it - How to leverage Neural Networks for Data Analysis And much more... In Manuscript 4 "Python for Data Science" you'll learn: - What is Data Science and what does it encompass - What are the 5 key steps of the Data Science process that you should follow - How to set up the Python environment for Data Science - How to work with Seaborn data visualization module - What are the most important Machine Learning Algorithms - How to leverage the Scikit-Learn module for Machine Learning - How to leverage Data Science in the Cloud - What are the most important applications of Data Science And much more... In Manuscript 5 "Python Machine Learning" you'll learn - What is Machine Learning and what does it encompass - What are the 7 Steps of the Machine Learning Process - What are the different Machine Learning types - How is Machine Learning applied to the real world - What are the main Data Mining techniques - How to best set up the Python environment for Machine Learning - What are the most important Python libraries for Machine Learning And much more... Click the BUY button and download the book now to start learning well and fast!

Python Programming

Author : Andrew Park
Publisher : Andrew Park
ISBN 13 : 9781801770347
Total Pages : 200 pages
Book Rating : 4.7/5 (73 download)

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Book Synopsis Python Programming by : Andrew Park

Download or read book Python Programming written by Andrew Park and published by Andrew Park. This book was released on 2021-04-27 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: ★ 55% OFF for Bookstores! NOW at $ 16.64 instead of $ 36.97! ★Do you want to learn Python in one week (or less) and learn it well?Your Customers Will Never Stop To Use This Amazing Guide!

Data Science from Scratch

Author : Joel Grus
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491904402
Total Pages : 330 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Data Science from Scratch by : Joel Grus

Download or read book Data Science from Scratch written by Joel Grus and published by "O'Reilly Media, Inc.". This book was released on 2015-04-14 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases