Data Analytics And Python Programming Beginners Guide To Learn Data Analytics Predictive Analytics And Data Science With Python Programming
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Data Analytics And Python Programming Beginners Guide To Learn Data Analytics Predictive Analytics And Data Science With Python Programming
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Author : Isaac D. Cody
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2016-12-28
Data Analytics And Python Programming Beginners Guide To Learn Data Analytics Predictive Analytics And Data Science With Python Programming written by Isaac D. Cody and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-28 with categories.
This is a 2 book bundle related to data analytics and learning Python Programming from scratch! Two manuscripts for the price of one! What's included in this 2 book bundle manuscript: Data Analytics: Practical Data Analysis and Statistical Guide to Transform and Evolve Any Business, Leveraging the power of Data Analytics, Data Science, and Predictive Analytics for Beginners Hacking University: Junior Edition Learn Python Computer Programming from Scratch. Become a Python Zero to Hero. The Ultimate Beginners Guide in Mastering the Python Language In Data Analytics, you will learn: Why your business should be using data analytics Issues with using big data Effective data management Examples of data management in the real-world The different kinds of data analytics and their definitions How data management, data mining, data integration and data warehousing work together A step-by-step guide for conducting data analysis for your business An organizational guide to data analytics Tools for data visualization (with hyperlinks) In Hacking University Junior Edition, you will learn: The history of Python Language The benefits of learning Python and the job market outlook when learning Python Setting Up a Development Environment Variables, Variable Types, Inputs, String Formatting, Decision Structures, Conditional Operators, Loops Several Programming Examples to make sure you practice what you learn String Formatting and Programming Concepts Classes, Special Methods, and Inheritance Key Modules, and Common Errors And a WHOLE lot more! Get your copy today! Scroll up and hit the buy button to download now!
Python Programming Deep Learning
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Author : Anthony Adams
language : en
Publisher: Anthony Adams
Release Date : 2021-12-17
Python Programming Deep Learning written by Anthony Adams and has been published by Anthony Adams this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-17 with Computers categories.
Easily Boost Your Skills In Python Programming & Become A Master In Deep Learning & Data Analysis! 💻 Python is an interpreted, high-level, general-purpose programming language that emphasizes code readability with its notable use of significant whitespace. What makes Python so popular in the IT industry is that it uses an object-oriented approach, which enables programmers to write clear, logical code for all types of projects, whether big or small. Hone your Python Programming skills and gain a sharp edge over other programmers the EASIEST way possible... with this practical beginner’s guide! In his 3-in-1 Python crash course for beginners, Anthony Adams gives novices like you simple, yet efficient tips and tricks to become a MASTER in Python coding for artificial intelligence, neural networks, machine learning, and data science/analysis! Here’s what you’ll get: ✅ Highly innovative ways to boost your understanding of Python programming, data analysis, and machine learning ✅ Quickly and effectively stop fraud with machine learning ✅ Practical and efficient exercises that make understanding Python quick & easy And so much more! As a beginner, you might feel a bit intimidated by the complexities of coding. Add the fact that most Python Programming crash course guides make learning harder than it has to be! ✓ With the help of this 3-in-1 guide, you will be given carefully sequenced Python Programming lessons that’ll maximize your understanding, and equip you with all the skills for real-life application! ★ Thrive in the IT industry with this comprehensive Python Programming crash course! ★ Scroll up, Click on “Buy Now”, and Start Learning Today!
Python For Data Analysis
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Author : Oliver R. Simpson
language : en
Publisher:
Release Date : 2020-12-30
Python For Data Analysis written by Oliver R. Simpson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-30 with Computers categories.
Predictive Analytics Data Mining And Big Data
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Author : S. Finlay
language : en
Publisher: Springer
Release Date : 2014-07-01
Predictive Analytics Data Mining And Big Data written by S. Finlay and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-01 with Business & Economics categories.
This in-depth guide provides managers with a solid understanding of data and data trends, the opportunities that it can offer to businesses, and the dangers of these technologies. Written in an accessible style, Steven Finlay provides a contextual roadmap for developing solutions that deliver benefits to organizations.
Management And Business Research
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Author : Lena J. Jaspersen
language : en
Publisher: SAGE Publications Limited
Release Date : 2026-02-28
Management And Business Research written by Lena J. Jaspersen and has been published by SAGE Publications Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-02-28 with Business & Economics categories.
This bestselling business research methods textbook provides readers with a clear and comprehensive overview of methods for conducting management and business research.
Python Data Analytics And Visualization
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Author : Phuong Vo.T.H
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-03-31
Python Data Analytics And Visualization written by Phuong Vo.T.H and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-31 with Computers categories.
Understand, evaluate, and visualize data About This Book Learn basic steps of data analysis and how to use Python and its packages A step-by-step guide to predictive modeling including tips, tricks, and best practices Effectively visualize a broad set of analyzed data and generate effective results Who This Book Is For This book is for Python Developers who are keen to get into data analysis and wish to visualize their analyzed data in a more efficient and insightful manner. What You Will Learn Get acquainted with NumPy and use arrays and array-oriented computing in data analysis Process and analyze data using the time-series capabilities of Pandas Understand the statistical and mathematical concepts behind predictive analytics algorithms Data visualization with Matplotlib Interactive plotting with NumPy, Scipy, and MKL functions Build financial models using Monte-Carlo simulations Create directed graphs and multi-graphs Advanced visualization with D3 In Detail You will start the course with an introduction to the principles of data analysis and supported libraries, along with NumPy basics for statistics and data processing. Next, you will overview the Pandas package and use its powerful features to solve data-processing problems. Moving on, you will get a brief overview of the Matplotlib API .Next, you will learn to manipulate time and data structures, and load and store data in a file or database using Python packages. You will learn how to apply powerful packages in Python to process raw data into pure and helpful data using examples. You will also get a brief overview of machine learning algorithms, that is, applying data analysis results to make decisions or building helpful products such as recommendations and predictions using Scikit-learn. After this, you will move on to a data analytics specialization—predictive analytics. Social media and IOT have resulted in an avalanche of data. You will get started with predictive analytics using Python. You will see how to create predictive models from data. You will get balanced information on statistical and mathematical concepts, and implement them in Python using libraries such as Pandas, scikit-learn, and NumPy. You'll learn more about the best predictive modeling algorithms such as Linear Regression, Decision Tree, and Logistic Regression. Finally, you will master best practices in predictive modeling. After this, you will get all the practical guidance you need to help you on the journey to effective data visualization. Starting with a chapter on data frameworks, which explains the transformation of data into information and eventually knowledge, this path subsequently cover the complete visualization process using the most popular Python libraries with working examples This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products: Getting Started with Python Data Analysis, Phuong Vo.T.H &Martin Czygan Learning Predictive Analytics with Python, Ashish Kumar Mastering Python Data Visualization, Kirthi Raman Style and approach The course acts as a step-by-step guide to get you familiar with data analysis and the libraries supported by Python with the help of real-world examples and datasets. It also helps you gain practical insights into predictive modeling by implementing predictive-analytics algorithms on public datasets with Python. The course offers a wealth of practical guidance to help you on this journey to data visualization
Software Engineering And Management Theory And Applications
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Author : Roger Lee
language : en
Publisher: Springer Nature
Release Date : 2025-04-26
Software Engineering And Management Theory And Applications written by Roger Lee and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-26 with Computers categories.
This book reports state-of-the-art results in Software Engineering Research, Management & Applications in both printed and electronic form. Studies in Computation Intelligence (SCI) has grown into the most comprehensive computational intelligence research forum available in the world. This book published original papers on both theory and practice that address foundations, state-of-the-art problems and solutions, and crucial challenges.
Data Science For Beginners Data Analysis With Python Sql Computer Programming For Beginners Statistics For Beginners
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Author : Matt Foster
language : en
Publisher:
Release Date : 2020-10-06
Data Science For Beginners Data Analysis With Python Sql Computer Programming For Beginners Statistics For Beginners written by Matt Foster and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-06 with Computers categories.
Master the Skills of Data and Statistical Analysis, and Become a Top-Notch Python and SQL Expert! Do you want to know the secret behind the success of the huge business moguls, such as Facebook and Netflix? Are you aware that you can implement their data analysis strategies in your company or business to make it more successful and competitive? This bundle will provide you with everything you need to know to start conducting successful data analysis. It will guide you through every step of this application, from gathering the data, processing it, and extracting information and using it for smart decision making. It's easy to get lost in the amount of available sources if you're only getting started with this subject. Wouldn't it be nice if all the information you need can be found in one place? Well, they can! With this bundle, you'll master the Python Programming Language, SQL language, and statistical and data analysis. But that's certainly not everything. Here's what else you get: A detailed introduction on data science, its applications, and fields of study A guide on tools and techniques used by data scientists An easy to understand guide on data analysis Information about the concepts behind Python programming A guide on how to use Python libraries such as Pandas and NumPy for data analysis Instructions on how to create the right analytical algorithm for predicting the market trends A list of the Python Data types Instructions on how to use the Python language and code A step-by-step guide on Object-oriented programming (OOP) and mind mapping Instructions on how to start using data science in your company or business A guide on programming languages used in data science A guide on writing SQL codes A guide on how to use predictive analytics techniques to turn data into valuable information Instructions on database normalization for maintaining data integrity A guide on using Python for files manipulation and handling Information about how to protect your work from database hackers Tips for fine-tuning and optimizing your databases And much more! If you have any more doubts about whether you should learn these skills, you should only remember that the majority of well-paid jobs on the job market require one of these skills. Even if you're not a business owner, you can use this bundle to upgrade your skills, have your pick among the best employers and reach your full potential! All you have to do to become a part of the most successful industry in the world is to Get Your Copy Now!
Python For Data Analysis
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Author : Oliver SIMPSON
language : en
Publisher:
Release Date : 2019-10-24
Python For Data Analysis written by Oliver SIMPSON and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-24 with categories.
Are you a new business owner? Or an entrepreneur looking to catch up to the big companies in your industrial sector? If you want to be a data analysis expert, and looking to develop a sound understanding of all the nitty-gritty of this field, then this book is here to rescue you by simplifying and providing a working definition of "Big Data" and "Big Data Analytics." In addition to that, this book will also provide you a concise overview of the fundamentals of machine learning, the underlying challenges and limitations of engineering machines to 'think' using open source data analysis libraries built on Python such as "Scikit-Learn" and "Pandas", with example from open source data sets that you can easily access and get your hands dirty. Thanks to the smart and savvy customer of today, the competition to gain new customers while retaining existing customers is fierce. As a result, companies are increasingly relying upon cutting edge technologies such as big data analytics, data mining technology, machine learning, and artificial intelligence technology to gain an edge over the competition. Few of the many reasons why you should buy this book include: * Learn how our increasing online presence has led to the development of large volumes of data called "Big Data" and its significance in our modern lives. * Learn all about the historical development of the current explosion in this field of Big Data Analytics and how it differs from data visualization techniques. * Dig deep into the data mining process, the benefits of using data mining technology, the challenges facing the data mining technology, and learn about some data mining tools that you can leverage for your business. * Get familiar with the "Python" programming language with a detailed overview of a variety of Data Analysis libraries, including "Django," "Scikit-Learn," "NumPy," "Pandas," and "IPython" among others. * Deep dive into the concept of personalized marketing, predictive analytics, customer analytics, and exploratory data analysis presented with details on how you can make sense out of all your customer behavioral data. * Get a step-by-step walkthrough of how the "Scikit-Learn" platform can be used to create your own predictive data analysis model by processing Big Data to produce high-quality training and test data sets. * Learn how big data and big data analytics are being leveraged by businesses across the industrial spectrum, with a focus on the eCommerce, healthcare, and entertainment industry. This book is filled with real-life examples to help you understand the nitty-gritty of all the concepts as well as names and descriptions of multiple tools that you can further explore and selectively implement in your business to reap the benefits of these cutting-edge technologies. 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. So, be a Good Samaritan and spread the word to your friends and family, help them get access to this power! If this is the book you need to understand and master the fundamentals and importance of big data science technologies to kick start your business or take it to the next level, Scroll Up and Click the Buy Now Button
Advancing Skill Development For Business Managers In Industry 4 0 Emerging Research And Opportunities
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Author : Fazzin, Sara
language : en
Publisher: IGI Global
Release Date : 2020-01-03
Advancing Skill Development For Business Managers In Industry 4 0 Emerging Research And Opportunities written by Fazzin, Sara and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-03 with Business & Economics categories.
As technology grows more effective and refined, businesses and organizations are increasingly taking advantage by automating processes that were once presided over by human workers. As businesses explore the benefits of machine learning, research is necessary to examine the effects of the integration of technology to human workplaces. Advancing Skill Development for Business Managers in Industry 4.0: Emerging Research and Opportunities is an essential publication that examines Industry 4.0 and the important technological applications that revolutionize and disrupt modern organizations, such as artificial intelligence, machine learning, and programming languages, such as Python, to contextualize big data in business and frame the skills necessary for a high-performing modern workforce. The book provides a conceptual framework, analysis, and discussion of the issues concerning organizational behavior through the lens of organizational culture and emotions. Covering topics that include data-driven organizations, the digital business models, and leadership techniques, this book is ideally designed for managers, executives, IT specialists, computer engineers, data scientists, researchers, academicians, and students.