Data Science Education

Data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today. 

Would you like to learn to use Python extracting meaningful insight from data to grow your business but you reckon it will be too complex? As a beginner, you will be probably afraid that programming is difficult. Learning data analysis and data mining can take months, and the possibility to give up before mastering them could be high. The best solution is a complete programming manual with hands-on projects and practical exercises. This guide is structured as a course with seven chapters for seven days and studied special exercises to apply what you learned step-by-step.

Data Science for Dummies is the perfect starting point for IT professionals and students who want a quick primer on all areas of the expansive data science space. With a focus on business cases, the book explores topics in big data, data science, and data engineering, and how these three areas are combined to produce tremendous value. If you want to pick-up the skills you need to begin a new career or initiate a new project, listening to this book will help you understand what technologies, programming languages, and mathematical methods on which to focus.

Learn data science with Python by building five real-world projects! Experiment with card game predictions, tracking disease outbreaks, and more, as you build a flexible and intuitive understanding of data science. In Data Science Bookcamp, you’ll test and build your knowledge of Python with the kind of open-ended problems that professional data scientists work on every day. Downloadable data sets and thoroughly-explained solutions help you lock in what you’ve learned, building your confidence and making you ready for an exciting new data science career.

It has never been easier for organizations to gather, store, and process data. Use of data science is driven by the rise of big data and social media, the development of high-performance computing, and the emergence of such powerful methods for data analysis and modeling as deep learning. Data science encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large datasets.

Data science is the application of a combination of mathematical, statistical, analytical, and programming skills for the collection, organization, and interpretation of data to allow effective and proper management of the business whose data it is. The job of such a scientist is trending all over the world. The demand for such scientists is huge, more than the number of available candidates. Data science is a field of study that is growing at a fast pace. From big tech companies to E-commerce companies to websites and many others are now relying on data science.

Expand your skills from being a basic data scientist to becoming an expert data scientist ready to solve real-world data-centric issues. Discover two comprehensive manuscripts in one audiobook.

Have you ever felt lost in knowing how your business is actually doing? Were you surprised by events that you didn’t see coming? Did you spend sleepless nights wondering whether or not your company was going to make it? Then Data is for you. This data-driven handbook is the third installment of the Traction Library’s EOS Mastery Series that provides all the tools you need to build an environment of transparency and get better results through clarity and accountability.

Bullshit isn’t what it used to be. Now, two science professors give us the tools to dismantle misinformation and think clearly in a world of fake news and bad data. Misinformation, disinformation, and fake news abound and it’s increasingly difficult to know what’s true. Our media...

Practical Data Science with R lives up to its name. It explains basic principles without the theoretical mumbo-jumbo and jumps right to the real use cases you'll face as you collect, curate, and analyze the data crucial to the success of your business. You'll apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support.

Dark Data explores the many ways in which we can be blind to missing data and how that can lead us to conclusions and actions that are mistaken, dangerous, or even disastrous. Examining a wealth of real-life examples, from the Challenger shuttle explosion to complex financial frauds, Hand gives us a practical taxonomy of the types of dark data that exist and the situations in which they can arise, so that we can learn to recognize and control for them.

Do you know that there's a lot more to Excel, but have no idea what to learn? This audiobook could be the answer you're looking for. You'll learn: Introduction to Advanced Excel, Optimization using the Solver Function, Sensitivity Analysis, and much more.

Step into the future where intellect intertwines with innovation in "Mind over Machine" a remarkable journey through the world of artificial intelligence that will redefine your understanding of tomorrow. This illuminating eBook peels back the layers of AI, starting with the basics in 'The Dawn of Artificial Intelligence' where myths are dismantled, and curiosity is stoked. Walk with us through the history and evolution of these groundbreaking technologies that are not just changing the world but are reshaping the very fabric of our existence. Embark on a thrilling exploration in 'The Rise ...

If you found a rusty old lamp on the beach, and upon touching it a genie appeared and granted you three wishes, what would you wish for? If you were wishing for a successful application development effort, most likely you would wish for accurate and robust data models, comprehensive data flow diagrams, and an acute understanding of human behavior. The wish for well-designed conceptual and logical data models means the requirements are well-understood and that the design has been built with flexibility and extensibility leading to high application agility and low maintenance costs. The wish ...

Data science gets thrown around in the press like it's magic. Major retailers are predicting everything, from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions. Data science is little more than using straightforward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will teach how you how that's done within the familiar environment of a spreadsheet.

Brought to you by Penguin. Explore how speed influences every aspect of life on Earth, from the slow grind of geological processes and the fleeting lifespans of organisms to the astonishing speed of light and the remarkable adaptations of creatures like the swift antelope and the soaring...

Did you know the value of data usage has increased job opportunities but that there are few specialists? These days, everyone is aware of the role data can play, whether it is an election, business, or education. But how can you start working in a wide interdisciplinary field that is occupied with so much hype? This audiobook presents you with a step-by-step approach to data science as well as secrets only known by the best data scientists.

Lars Nielsen and Noreen Burlingame provide a brief, understandable, user-friendly guide to all aspects of Data Science. The authors address the various skills required, the key steps in the Data Science process, software technology related to the effective practice of Data Science, and the best rising academic programs for training in the field.

Python Data Science is a complete guide on Python for every person who is looking to expand their current or future business, learn the basics of data science, and how Python programming can be used for it. There are so many businesses that are going to benefit when it comes to working with data analysis and seeing this work for some of their needs. It is always a good idea to learn a bit more about this process and how you are able to really use it to learn more about your customers, learn how to beat out your competition, and so much more.

A PIDD is a Perpetual Involuntary Data Donor. Surveillance capitalists love PIDDs because PIDDs materially support the data extraction industry by unwittingly surrendering their personal information, paying for data transport and storage, and tolerating poor technology performance. Our Digital Civics Framework presents a guide to increasing the data literacy of billions of citizens. We outline the data knowledge that society needs and propose exercises that will help citizens interact productively within a data-driven society.