Data Science Engineering

Data and Reality gracefully weaves the disciplines of psychology and philosophy with data management to create timeless takeaways on how we perceive and manage information. Although databases and related technology have come a long way since 1978, the process of eliciting business requirements and how we think about information remains constant.

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 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.

When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it's often difficult to understand what each one offers. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals.

Do you want to discover all the secrets of Big Data, Deep Learning, and everything in between? Have you ever asked yourself how can artificial intelligences learn from us? Do you want understand how does your smartphone personal assistant can understand you? In this guide, Artus Duval will show you everything you need to know about big data, machine learning, artificial intelligence, and its huge impact on our world; a swell as how to benefit from it 100 percent!

If your business is like most, it is already generating a staggering amount of data on a regular basis. Understanding what this data truly means is key to succeeding in the marketplace these days and if you are looking for a way to give yourself an edge then Data Analytics is the book you have been waiting for. Inside you will find the tools you need in order to take full advantage of all of the data that your business is already generating.

This audiobook teaches you how to build an intelligent system from end to end and leverage machine learning in practice. You will understand how to apply your existing skills in software engineering, data science, machine learning, management, and program management to produce working systems.

If you want to learn about data science and big data, then pay attention....

Data science has a huge impact on how companies conduct business, and those who don't learn about this revolutionary field could be left behind. You see, data science will help you make better decisions, know what products and services to release, and how to provide better service to your customers. In this guidebook, you will discover more about data science and how to get started in this field.

Innovation influences the market and its operators, especially about competition conditions. One of the most significant technological advances relates to the possibility of capturing a huge amount of information and processing them rapidly: two of the main features that make up the phenomenon known as big data. This not only entails the emergence of specialized operators in these activities, but also makes a "data economy" possible.

Centralized data warehouses, the long-time de facto standard for housing data for analytics, are rapidly giving way to multi-faceted cloud data platforms. Companies that embrace modern cloud data platforms benefit from an integrated view of their business using all of their data and can take advantage of advanced analytic practices to drive predictions and as yet unimagined data services.

As a software engineer, you’ll encounter countless programming challenges that initially seem confusing, difficult, or even impossible. Don’t despair! Many of these “new” problems already have well-established solutions. Advanced Algorithms and Data Structures teaches you powerful approaches to a wide range of tricky coding challenges that you can adapt and apply to your own applications. Providing a balanced blend of classic, advanced, and new algorithms, this practical guide upgrades your programming toolbox with new perspectives and hands-on techniques.

Take advantage of today's sky-high demand for data engineers. With this in-depth book, current and aspiring engineers will learn powerful real-world best practices for managing data big and small. Contributors from notable companies including Twitter, Google, Stitch Fix, Microsoft, Capital One, and LinkedIn share their experiences and lessons learned for overcoming a variety of specific and often nagging challenges. Edited by Tobias Macey, this book presents ninety-seven concise and useful tips for cleaning, prepping, wrangling, storing, processing, and ingesting data.

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 audiobook is a crash course on data science.

Colonialism has not disappeared; it has taken a new form. In the new world order where data is the new oil, big Tech companies are grabbing our most basic natural resources - our data - exploiting our labour and connections, and repackaging our information to control our views, track our movements, record our conversations and discriminate against us. In this searing, cutting-edge guide, two leading global researchers and founders of the concept of data colonialism reveal how history can help us understand the emerging future - and how we can fight back.

With the world going remote, and data science following along, you can start and pursue a career in data right here, right now. How do I start? What do I need to know? What is data analytics? I'm sure one, if not all, of these questions have run through your mind. Well, the answer is data literacy: the ability to read, understand, and communicate data into information. Building a solid foundation of practical knowledge is the first step to being successful in data. From there, you can finally decide what direction you should go in and start gaining the required knowledge.

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.

Python is a powerful programming language, serving a large number of purposes. It is a free and open-source programming language, and it is a very good programming language for beginners, especially for those who are interested to learn computer programming for the very first time. With the help of Python, data manipulation, data visualization, as well as data analysis becomes very simple.

Data-Oriented Programming is a one-of-a-kind guide that introduces the data-oriented paradigm. This groundbreaking approach represents data with generic immutable data structures. It simplifies state management, eases concurrency, and does away with the common problems you’ll find in object-oriented code. The book presents powerful new ideas through conversations, code snippets, and diagrams that help you quickly grok what’s great about DOP.

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.