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Author: Paul Kinley
Publisher:
ISBN: 9781539896739
Category :
Languages : en
Pages : 86
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Book Description
DATA ANALYTICS FOR BEGINNER: IN ORDER TO SUCEED IN TODAYS'Ss FAST PACE BUSINESS ENVIRONEMNT, YOU NEED TO MASTER DATA ANALYTICS. Data Analytics is the most powerful tool to analyze today's business environment and to predict future developments. Is it not the dream of every business owner to know exactly what the customer will buy in 6 months or what the new product hype will look like in your OWN industry? Data Analytics is the tool that will bring you answers to these questions. Here's why Data Analytics for Beginners will bring your business to a complete new level: How you can use data analytics to improve your business How to plan data analysis to know exactly what your target group wants How to implement descriptive analysis You will learn the exact techniques that are required to master Data Analytics Our customer's feedback I am the owner of a home supplies shop with 15 employees and this book improved the sales by 18,5% during the last 3 months. Richard S., Boston. Data Analytics for Beginners was a eye opener for me and my business. With this book I research all of my products on sale and my skills about the market I am in enhanced drastically. I can recommend this book to everyone that is planning to improve the business. Anamda R., Sacramento. During my IT studies this book supported me a lot with anaylsis about future business trends. This book has a easy to understand writing style without any expert language. In other words: every beginner can work with this book right away.Thomas E., Baltimore. Here's what you will get Planning a Study Surveys Experiments Gathering Data How to select useful samples Avoiding Bias in Data Sets Descriptive Analysis Mean Median Mode Variance Standard Deviation Coefficient of Variation Pie Charts How to create Pie Charts in Excel Bar Graphs How to Create Bar Charts in Excel Time Charts and Line Charts How to create a time chart in excel How to create a line chart in excel Histograms How to create a histogram in Excel Scatter Plots How to create a Scatter Chart in Excel Business Intelligence Data Analytics in Business and Industry
Author: Paul Kinley
Publisher:
ISBN: 9781539896739
Category :
Languages : en
Pages : 86
Get Book Here
Book Description
DATA ANALYTICS FOR BEGINNER: IN ORDER TO SUCEED IN TODAYS'Ss FAST PACE BUSINESS ENVIRONEMNT, YOU NEED TO MASTER DATA ANALYTICS. Data Analytics is the most powerful tool to analyze today's business environment and to predict future developments. Is it not the dream of every business owner to know exactly what the customer will buy in 6 months or what the new product hype will look like in your OWN industry? Data Analytics is the tool that will bring you answers to these questions. Here's why Data Analytics for Beginners will bring your business to a complete new level: How you can use data analytics to improve your business How to plan data analysis to know exactly what your target group wants How to implement descriptive analysis You will learn the exact techniques that are required to master Data Analytics Our customer's feedback I am the owner of a home supplies shop with 15 employees and this book improved the sales by 18,5% during the last 3 months. Richard S., Boston. Data Analytics for Beginners was a eye opener for me and my business. With this book I research all of my products on sale and my skills about the market I am in enhanced drastically. I can recommend this book to everyone that is planning to improve the business. Anamda R., Sacramento. During my IT studies this book supported me a lot with anaylsis about future business trends. This book has a easy to understand writing style without any expert language. In other words: every beginner can work with this book right away.Thomas E., Baltimore. Here's what you will get Planning a Study Surveys Experiments Gathering Data How to select useful samples Avoiding Bias in Data Sets Descriptive Analysis Mean Median Mode Variance Standard Deviation Coefficient of Variation Pie Charts How to create Pie Charts in Excel Bar Graphs How to Create Bar Charts in Excel Time Charts and Line Charts How to create a time chart in excel How to create a line chart in excel Histograms How to create a histogram in Excel Scatter Plots How to create a Scatter Chart in Excel Business Intelligence Data Analytics in Business and Industry
Author: Chirag Shah
Publisher: Cambridge University Press
ISBN: 1108472443
Category : Business & Economics
Languages : en
Pages : 459
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Book Description
An introductory textbook offering a low barrier entry to data science; the hands-on approach will appeal to students from a range of disciplines.
Author: Oliver Theobald
Publisher:
ISBN: 9781081762469
Category :
Languages : en
Pages : 88
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Book Description
While exposure to data has become more or less a daily ritual for the rank-and-file knowledge worker, true understanding-treated in this book as data literacy-resides in knowing what lies behind the data. Everything from the data's source to the specific choice of input variables, algorithmic transformations, and visual representation shape the accuracy, relevance, and value of the data and mark its journey from raw data to business insight. It's also important to grasp the terminology and basic concepts of data analytics as much as it is to have the financial literacy to be successful as a decisionmaker in the business world. In this book, we make sense of data analytics without the assumption that you understand specific data science terminology or advanced programming languages to set you on your path. Topics covered in this book: Data Mining Big Data Machine Learning Alternative Data Data Management Web Scraping Regression Analysis Clustering Analysis Association Analysis Data Visualization Business Intelligence
Author: Leonard Deep
Publisher:
ISBN: 9781097858309
Category :
Languages : en
Pages : 236
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Book Description
Are you interested to get into the programming world? Do you want to learn and understand Python and Machine Learning? Python Machine Learning for Beginners is the guide for you. Python Machine Learning for Beginners is the ultimate guide for beginners looking to learn and understand how Python programming works. Python Machine Learning for Beginners is split up into easy to learn chapters that will help guide the readers through the early stages of Python programming. It's this thought out and systematic approach to learning which makes Python Machine Learning for Beginners such a sought-after resource for those that want to learn about Python programming and about Machine Learning using an object-oriented programming approach. Inside Python Machine Learning for Beginners you will discover: An introduction to Machine Learning The main concepts of Machine Learning The basics of Python for beginners Machine Learning with Python Data Processing, Analysis, and Visualizations Case studies and much more! Throughout the book, you will learn the basic concepts behind Python programming which is designed to introduce you to Python programming. You will learn about getting started, the keywords and statements, data types and type conversion. Along with different examples, there are also exercises to help ensure that the information sinks in. You will find this book an invaluable tool for starting and mastering Machine Learning using Python. Once you complete Python Machine Learning for Beginners, you will be more than prepared to take on any Python programming. Scroll back up to the top of this page and hit BUY IT NOW to get your copy of Python Machine Learning for Beginners! You won't regret it!
Author: Jonathan S. Walker
Publisher: Createspace Independent Publishing Platform
ISBN: 9781973962861
Category :
Languages : en
Pages : 86
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Book Description
Have you ever been asked to analyze data in your job but not understood what you were doing?Now is the time to change that! In this book, you are going to learn - The risks of data analysis - The benefits of data analysis - Terms you are going to useAnd so much more. So, now is the time to dive in and begin to advance your knowledge of data and how you are going to use it. In the end, you are going to be able to use it to be more efficient in your job.
Author: Robert J. Woz
Publisher: Createspace Independent Publishing Platform
ISBN: 9781977843135
Category : Big data
Languages : en
Pages : 112
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Book Description
If you are convinced that the world today is producing more data than the previous decades, then you understand that processing yesterday's data for today's use at times is not enough. The level of data analysis that is needed in highly competitive business environment needs to be processed, analyzed and used immediately for businesses to be ahead of their competition. Having this in mind, you need to understand from the ground up, what data is, the different types of data and how you should identify the right data for your business. To help you understand the simple basics of data and how it needs to be analyzed, then Data Analytics for Beginners is the book that you have been waiting for. The size and type of business you are running doesn't matter because after all, it will depend on your ability to understand the data that your business is exposed to so as to make better business decisions for the current working environment and the future. Are there patterns in your business that you cannot see? Do you want to make sense of the shopping trends of your clients to better enrich their experience? Do you want to know your target market even more? Do you want to better derive insights from the feedback your clients give you? These questions can only be answered when you perform a data analysis for your business. Collecting the data is one thing, analyzing them is another matter entirely as it is not something that can be done haphazardly by just looking at the data. If you hope to understand your data well, you need to understand the data you are collecting, the methods to use and the right tools to use when analyzing the data. Inside you will find valuable steps and tools that will help make your information work for you. Do not let yourself get complacent, stop looking at the data that you collect each day and start analyzing your data to move your business up. Get started by buying this book today! Inside you will find How data should be understood? Terms and concepts used in data analysis. Data mining and the different kinds of databases used to store data. How information can be retrieved and manipulated in the database to create a visual representation of what you want to know? The life cycle of data analysis. And more...
Author: Gordon S. Linoff
Publisher: John Wiley & Sons
ISBN: 0470952520
Category : Computers
Languages : en
Pages : 698
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Book Description
Useful business analysis requires you to effectively transform data into actionable information. This book helps you use SQL and Excel to extract business information from relational databases and use that data to define business dimensions, store transactions about customers, produce results, and more. Each chapter explains when and why to perform a particular type of business analysis in order to obtain useful results, how to design and perform the analysis using SQL and Excel, and what the results should look like.
Author: Janani Sathish
Publisher: Independently Published
ISBN:
Category :
Languages : en
Pages : 364
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Book Description
Data science has taken the planet by storm. Every field of study and area of business has been affected as people increasingly realize the worth of the incredible quantities of knowledge being generated. But to extract value from those data, one must be trained within the proper data science skills. The R programming language has become the de facto programming language for data science. Its flexibility, power, sophistication, and expressiveness have made it a useful tool for data scientists round the world. This book is about the basics of R programming. you'll start with the fundamentals of the language, find out how to control datasets, the way to write functions, and the way to debug and optimize code. With the basics provided during this book, you'll have a solid foundation on which to create your data science toolbox. during this book you'll learn what you would like to understand to start assembling and leading a knowledge science enterprise, albeit you've got never worked in data science before. You'll get a crash program in data science in order that you'll be familiar with the sector and understand your role as a pacesetter . You'll also find out how to recruit, assemble, evaluate, and develop a team with complementary skill sets and roles. You'll learn the structure of the info science pipeline, the goals of every stage, and the way to stay your team on track throughout. Finally, you'll learn some down-to-earth practical skills which will assist you overcome the common challenges that regularly derail data science projects Reproducibility is that the concept data analyses should be published or made available with their data and software code in order that others may verify the findings and repose on them.
Author: Renee M. P. Teate
Publisher: John Wiley & Sons
ISBN: 1119669391
Category : Computers
Languages : en
Pages : 400
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Book Description
Jump-start your career as a data scientist—learn to develop datasets for exploration, analysis, and machine learning SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis is a resource that’s dedicated to the Structured Query Language (SQL) and dataset design skills that data scientists use most. Aspiring data scientists will learn how to how to construct datasets for exploration, analysis, and machine learning. You can also discover how to approach query design and develop SQL code to extract data insights while avoiding common pitfalls. You may be one of many people who are entering the field of Data Science from a range of professions and educational backgrounds, such as business analytics, social science, physics, economics, and computer science. Like many of them, you may have conducted analyses using spreadsheets as data sources, but never retrieved and engineered datasets from a relational database using SQL, which is a programming language designed for managing databases and extracting data. This guide for data scientists differs from other instructional guides on the subject. It doesn’t cover SQL broadly. Instead, you’ll learn the subset of SQL skills that data analysts and data scientists use frequently. You’ll also gain practical advice and direction on "how to think about constructing your dataset." Gain an understanding of relational database structure, query design, and SQL syntax Develop queries to construct datasets for use in applications like interactive reports and machine learning algorithms Review strategies and approaches so you can design analytical datasets Practice your techniques with the provided database and SQL code In this book, author Renee Teate shares knowledge gained during a 15-year career working with data, in roles ranging from database developer to data analyst to data scientist. She guides you through SQL code and dataset design concepts from an industry practitioner’s perspective, moving your data scientist career forward!
Author: Anasse Bari
Publisher: John Wiley & Sons
ISBN: 1118729412
Category : Business & Economics
Languages : en
Pages : 371
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Book Description
Combine business sense, statistics, and computers in a new and intuitive way, thanks to Big Data Predictive analytics is a branch of data mining that helps predict probabilities and trends. Predictive Analytics For Dummies explores the power of predictive analytics and how you can use it to make valuable predictions for your business, or in fields such as advertising, fraud detection, politics, and others. This practical book does not bog you down with loads of mathematical or scientific theory, but instead helps you quickly see how to use the right algorithms and tools to collect and analyze data and apply it to make predictions. Topics include using structured and unstructured data, building models, creating a predictive analysis roadmap, setting realistic goals, budgeting, and much more. Shows readers how to use Big Data and data mining to discover patterns and make predictions for tech-savvy businesses Helps readers see how to shepherd predictive analytics projects through their companies Explains just enough of the science and math, but also focuses on practical issues such as protecting project budgets, making good presentations, and more Covers nuts-and-bolts topics including predictive analytics basics, using structured and unstructured data, data mining, and algorithms and techniques for analyzing data Also covers clustering, association, and statistical models; creating a predictive analytics roadmap; and applying predictions to the web, marketing, finance, health care, and elsewhere Propose, produce, and protect predictive analytics projects through your company with Predictive Analytics For Dummies.
