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**

Download or read book Python for Data Analysis written by Brady Ellison and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Python Crash Course written by Dany Log and published by Independently Published. This book was released on 2019-11-28 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you want to learn how to use python easily and quickly, then keep reading.Most people think that Python programming is a complicated topic. This should not be the case when you get hold of the Python Crash Course: A Complete Step-by-Step Beginner Guide for Python Coding, NumPy, Pandas, and Data Visualization. This interactive book will give you all the information about Python programming. You will know what it means, how to use it, and who can use Python programming. Different individuals use Python programming for different benefits. It includes developers, coders, programmers and finance experts. You will know what to do with Python programming, the importance of Python to an economist, at your workplace, and who you can use Python programming to earn money. You will be able to earn from blogging, app development, freelancing, online courses, coding competitions, and website creation. Python has different basic concepts that need to be understood. The different terms that are used in programming, how you can start Python programming for data analysis, and what you need to do to install Python.If this is your first time dealing with Python programming, you do not need to worry. You will have all the Python programming lessons. You will learn about Python, the places where you can learn, and the cost that relates to learning Python programming. There is information on the courses that need to be studied in order to understand programming and the jobs that you can secure with your Python knowledge and skills. There are different operating systems that can be used in collaboration with Python, like OS X, Linux, and Windows. You will have knowledge about all the troubleshooting. What is the list? The list is clearly explained, and you will be able to understand what it means. You will know how to change elements, how to remove them, and how you can add elements. The book will categorically explain how you can organize the list.There are several chapters and sub-chapters that will help more in terms of understanding Python programming. -You will know about variables and the different types of data. -There is information about dictionaries, functions, and classes.-You will know what it means to test the code, files, and exceptions.-There is also information about input and while loops. -Data visualization is a chapter that is clearly explained. -How to generate data-How to download data-How to work with APIs-You will be able to earn from blogging, app development, freelancing, online courses, coding competitions, and website creation.-If you are planning to learn about Python programming, you need to know about web applications-You will know how to work with Django-The different user accounts and how to set up a user account-How you can style and deploy an app. With this book learning to use python becomes easy and fast. Buy this book right now

Download or read book Python For Data Analysis written by Guido van Smit and published by . This book was released on 2019-11-24 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Put away your credentials and get prepared to immerse yourself in a basic crash course of data analysis, Pandas andNumpy even if you are a beginner with no knowledge about programming!

Download or read book Python Crash Course written by Dany Log and published by . This book was released on 2020-12-02 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you want to learn how to use python easily and quickly, then keep reading. Most people think that Python programming is a complicated topic. This should not be the case when you get hold of the Python Crash Course: A Complete Step-by-Step Beginner Guide for Python Coding, NumPy, Pandas, and Data Visualization. You will know what it means, how to use it, and who can use Python programming. Different individuals use Python programming for different benefits. It includes developers, coders, programmers and finance experts. You will know what to do with Python programming, the importance of Python to an economist, at your workplace, and who you can use Python programming to earn money. You will be able to earn from blogging, app development, freelancing, online courses, coding competitions, and website creation. If this is your first time dealing with Python programming, you do not need to worry. You will have all the Python programming lessons. You will learn about Python, the places where you can learn, and the cost that relates to learning Python programming. There is information on the courses that need to be studied in order to understand programming and the jobs that you can secure with your Python knowledge and skills. There are different operating systems that can be used in collaboration with Python, like OS X, Linux, and Windows. You will have knowledge about all the troubleshooting. What is the list? The list is clearly explained, and you will be able to understand what it means. You will know how to change elements, how to remove them, and how you can add elements. The book will categorically explain how you can organize the list. There are several chapters and sub-chapters that will help more in terms of understanding Python programming. - You will know about variables and the different types of data. - There is information about dictionaries, functions, and classes. - You will know what it means to test the code, files, and exceptions. - There is also information about input and while loops. - Data visualization is a chapter that is clearly explained. - How to generate data - How to download data - How to work with APIs - You will be able to earn from blogging, app development, freelancing, online courses, coding competitions, and website creation. - If you are planning to learn about Python programming, you need to know about web applications - You will know how to work with Django - The different user accounts and how to set up a user account With this book learning to use python becomes easy and fast. Buy this book right now

Download or read book Python for Data Analysis written by Wes McKinney and published by "O'Reilly Media, Inc.". This book was released on 2017-09-25 with total page 676 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. Use the IPython shell and Jupyter notebook for exploratory computing Learn basic and advanced features in NumPy (Numerical Python) Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples

Download or read book Python Crash Course written by Jason Test and published by . This book was released on 2020-07-27 with total page 114 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 basic acquaintance with web applications? Ten keep reading! ★Python Crash course★ will introduce you to Pyhton language and discover the world of data science, machine learning and artificial intelligence. You will also learn all the best tricks of writing codes. The following list is just a tiny fraction of what you will learn: - The basics of Python programming - Differences among programming languages: Vba, SQL, R, Python - 4 reason why Python is fundamental for Data Science . Introduction to some Python libraries, including NumPy, Pandas, Matplotlib. - Python design patterns Business application of Python Data Analysis - Optimal tools and techniques for data mining - Analysis of popular Python projects templates - Game creation with Pyhton 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. Therefore, if you really wish to find a course to learn Python in 7 days, learn and master its language, please click the BUY NOW button.

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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!

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Download or read book Python Data Analytics written by Stephen Ward and published by . This book was released on 2019-10-24 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlock the programming skills you need to prepare for a lucrative career in Data Science with this comprehensive introduction to Python programming for data analytics! Are you completely new to programming and want to learn how to code, but don't know where to begin? Are you looking to upgrade your data wrangling skills to future-proof your career and break into Data Science and Analytics? If you answered yes to any of the questions above, then keep reading... Data analysis has become a huge industry with tons of career potential and will remain relevant far into the foreseeable future. With the exponential growth and explosion of new data and the focus on using data to improve customer experiences and carry out research, data analysts will be needed to process and make sense of large amounts of information, with Python being the language of choice because of its versatility. In this guide, you're going to be shown everything you need to break into the world of Data Analysis with Python. Filled with tutorials for powerful libraries and practical, hands-on exercises, you're going to learn how to aggregate, munge, analyze and visualize data in Python. Here's a sample of what you're going to discover in Python Data Analytics: Why Python is the perfect language to learn if you want to break into Big Data and data analytics Core statistical models and computation methods you need to know about as a budding data analyst How to master the CSV library for reading, writing and handling tabular data Using the Xlrd library to extract data from Microsoft Excel files How to convert text to speech using the powerful Win32.com library How to use the NumPy library to carry out fundamental and basic scientific and technical computing How to use the SciPy library to carry out advanced scientific and highly technical computing Surefire ways to manipulate the easy-to-use data structures of the Pandas framework for high-performance data analysis How to plot complex data, create figures and visualize data using the Python Matplotlib library ...and tons more! If you're completely new to programming and have never written a single line of code, but want to get started, this guide is perfect for as a crash guide to getting up to speed with programming in general. Whether you're a programmer looking to switch into an exciting new field with lots of potential for the future, or a regular data analyst looking to acquire the skills needed to remain relevant in a fast-changing world, this guide will teach you how to master powerful libraries used in the real-world by experienced data scientists. So what are you waiting for? Scroll to the top of the page and click the "Buy Now" button to get started today!