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Data science strategy / by Jägare, Ulrika,author.(CARDINAL)826859; Pierson, Lillian,writer of foreword.(CARDINAL)806774;
"Over half of all businesses are using data science to generate insights and value from big data. How are they doing it? Data Science Strategy For Dummies answers all your questions about how to build a data science capability from scratch, starting with the "what" and the "why" of data science and covering what it takes to lead and nurture a top-notch team of data scientists."--Amazon.Framing data science strategy -- Considering the inherent complexity in data science -- Dealing with difficult challenges -- Managing change in data science -- Understanding the past, present, and future of data -- Knowing your data -- Considering the ethical aspects of data science -- Becoming data-driven -- Evolving from data-driven to machine-driven -- Building successful data science teams -- Approaching a data science organizational setup -- Positioning the role of the Chief Data Officer (CDO) -- Acquiring resources and competencies -- Developing a data architecture -- Focusing data governance on the right aspects -- Managing models during development and production -- Exploring the importance of open source -- Realizing the infrastructure -- Investing in data as a business -- Using data for insights or commercial opportunities -- Engaging differently with your customers -- Introducing data-driven business models -- Handling new delivery models -- Ten reasons to develop a data science strategy -- Ten mistakes to avoid when investing in data science.
Subjects: Big data.; Data mining.; Information science.; Data structures (Computer science); Database management.;
Available copies: 1 / Total copies: 1
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Think Java : how to think like a computer scientist / by Downey, Allen,author.(CARDINAL)834888; Mayfield, Chris(Computer scientist),author.(CARDINAL)832249;
Computer programming -- Variables and operators -- Input and output -- Methods and testing -- Conditionals and logic -- Loops and strings -- Arrays and references -- Recursive methods -- Immutable objects -- Mutable objects -- Designing classes -- Arrays of objects -- Objects of arrays -- Extending classes -- Arrays of arrays -- Reusing classes -- Advanced topics."Think Java" is a hands-on introduction to computer science and programming used by many universities and high schools around the world. Its conciseness, emphasis on vocabulary, and informal tone make it particularly appealing for readers with little or no experience. The book starts with the most basic programming concepts and gradually works its way to advanced object-oriented techniques. In this fully updated and expanded edition, authors Allen Downey and Chris Mayfield introduce programming as a means for solving interesting problems. Each chapter presents material for one week of a college course and includes exercises to help you practice what you've learned. Along the way, you'll see nearly every topic required for the AP computer science A exam and Java SE programmer I certification.
Subjects: Handbooks and manuals.; Java (Computer program language); Computer programming.; Data structures (Computer science); Object-oriented programming (Computer science);
Available copies: 2 / Total copies: 3
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The self-taught computer scientist : the beginner's guide to data structures & algorithms / by Althoff, Cory,author.;
Get a head start in a rapidly growing industry with help from a Silicon Valley insider. Computer science is one of the fastest growing industries in the world and shows no signs of slowing down. In The Self-Taught Computer Scientist: The Beginner's Guide to Computer Science, expert programmer and author Cory Althoff shows you the hands-on exercises, stories, and examples, you need to help you become a successful computer scientist. You'll discover how to: Understand computer science fundamentals, including how memory and compilers work, how the TCP/IP stack works, and how to pass a technical job interview Use data structures and algorithms, both of which are essential to a successful programming career Write your first programs in Python, an easy-to-use programming language ideal for beginners Perfect for self-taught programmers everywhere, The Self-Taught Computer Scientist will help you get up to speed and ready for a job in computer science whether you're brand new to coding or you've already learned a language or two.
Subjects: Handbooks and manuals.; Programmed instructional materials.; Computer science; Computer science; Data structures (Computer science); Algorithms.; Computer science;
Available copies: 3 / Total copies: 3
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Organizing data / by González, Echo Elise,author.(CARDINAL)817477; Ross, Graham,1962-illustrator.(CARDINAL)343461;
A graphic-style nonfiction adventure into fundamental concepts in computer science.GN810L
Subjects: Educational comics.; Nonfiction comics.; Comics (Graphic works); Graphic novels.; Data structures (Computer science); File organization (Computer science); Computer programming; Computer science;
Available copies: 10 / Total copies: 11
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Coding for beginners / by McGrath, Mike,1956-author.(CARDINAL)422694;
Getting started -- Saving data -- Performing operations -- Making lists -- Controlling blocks -- Creating functions -- Sorting algorithms -- Importing libraries -- Managing text -- Programming objects -- Building interfaces -- Developing apps -- Transferring skills."Coding for Beginners in easy steps, 2nd edition will appeal to anyone, of any age, who wants to begin coding computer programs. Use this guide to help you quickly create a programming environment on your computer, then, in easy steps, learn how to: write Python code to create your programs, store information in data structures, control program flow using control structures, create re-usable blocks of program code, [and] code powerful algorithms and classes for Object Oriented Programming (OOP),"--
Subjects: Handbooks and manuals.; C (Computer program language); C++ (Computer program language); Computer programming.; Java (Computer program language); Object-oriented programming (Computer science); Python (Computer program language);
Available copies: 11 / Total copies: 17
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Head first learn to code : a brain-friendly guide / by Freeman, Eric,1965-author.(CARDINAL)278743;
Getting started : thinking computationally -- Know your value : simple values, variables, and types -- Decisive code : Booleans, decisions, and loops -- Providing some structure : lists and iteration -- Getting functional : functions and abstraction -- Putting some order in your data : sorting and nested iteration -- Putting it all together : text, strings, and heuristics -- Getting modular : modules, methods, classes and objects -- Beyond iteration and indices : recursion and dictionaries -- Persistence : saving and retrieving files -- You really should get out more : using web APIs -- Getting interactive : widgets, events and emergent behavior -- A trip to Objectville : object-oriented programming -- Appendix : The Top Ten Topics (we didn't cover) : leftovers.It's no secret the world around you is becoming more connected, more configurable, more programmable, more computational. You can remain a passive participant, or you can learn to code. With Head First Learn to Code you'll learn how to think computationally and how to write code to make your computer, mobile device, or anything with a CPU do things for you. Using the Python programming language, you'll learn step by step the core concepts of programming as well as many fundamental topics from computer science, such as data structures, storage, abstraction, recursion, and modularity.
Subjects: Python (Computer program language); Object-oriented programming (Computer science); Object-oriented programming languages.; Computer programming.;
Available copies: 2 / Total copies: 5
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Beginning programming : all-in-one / by Wang, Wally,author.(CARDINAL)766992;
Getting started with programming. Getting started programming a computer ; Different methods for writing programs ; Types of programming languages ; Programming tools -- Programming basics. How programs work ; Variables, data types, and constants ; Manipulating data ; Making decisions by branching ; Repeating commands by looping ; Breaking a large program into subprograms ; Breaking a large program into objects ; Reading and saving files ; Documenting your program ; Principles of user interface design ; Debugging and testing -- Data structures. Structures and arrays ; Sets and linked lists ; Collections and dictionaries ; Stacks, queues, and deques ; Graphs and trees -- Algorithms. Sorting algorithms ; Searching algorithms ; String searching ; Data compression algorithms ; Encryption algorithms -- Web programming. Hyper text markup language ; CSS ; JavaScript ; PHP ; Ruby -- Programming language syntax. C and C++ ; Java and C# ; Perl and Python ; Kotlin ; Swift and SwiftUI ; Flutter and Dart -- Applications. Database management ; Bioinformatics ; Computer security ; Artificial intelligence ; Mobile and wearable computing ; Game engines ; The future of computer programming.A guide to computer programming covers such topics as data structures, algorithms, Web programming, syntax, and applications.
Subjects: Handbooks and manuals.; Computer programming.; Programming languages (Electronic computers); Computer science.; Electronic data processing.;
Available copies: 8 / Total copies: 11
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Head first Python / by Barry, Paul,1966-author.(CARDINAL)540707;
Includes index."Want to learn the Python language without slogging your way through how-to manuals? With Head First Python, you'll quickly grasp Python's fundamentals by working with built-in data structures and functions. You'll build your very own web app, which--once it's ready for prime time--runs in the cloud. You'll learn how to wrangle data with Python, scrape data from the web, feed data to pandas, and interact with databases. This third edition is a complete learning experience that will help you become a bona fide Python programmer in no time"--Page 4 of cover.Why Python?: similar but different -- Diving in: let's make a splash -- Lists of numbers: processing list data -- List of files: functions, modules & files -- Formatted string literals: make charts from data -- Getting organized: data structure choices -- Building a webapp: web development -- Deployment: run your code anywhere -- Working with HTML; web scraping -- Working with data: data manipulation -- Working with dataframes: tabular data -- Databases: getting organized -- List comprehensions: database integrations -- Deployment revisited: the finishing touches... -- Appendix: leftovers: the top ten things we didn't cover.
Subjects: Handbooks and manuals.; Python (Computer program language); Scripting languages (Computer science);
Available copies: 2 / Total copies: 4
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How to program [videorecording]: computer science concepts and Python exercises / by Keyser, John,teacher.; Teaching Company,production company.(CARDINAL)349444;
Includes bibliographical references (p. 314-315) in course guidebook.Lecturer: Professor John Keyser, Texas A&M University."Learning a new language opens a wealth of opportunities. But there's one language family that provides benefits like no other: the languages of computer programming. Now widely taught in schools -- even in elementary schools -- programming is an eminently learnable skill that gives you unrivaled problem-solving power you can apply in all areas of life. Programming is also a fun, creative activity that imparts deep insights into how we control the devices that influence virtually every aspect of our lives."--provided by publisher.DVD.Title from disc surface.
Subjects: Filmed lectures.; Nonfiction films.; Educational films.; Video recordings for the hearing impaired.; Filmed lectures.; Python (Computer program language); Computer programming.; Object-oriented programming languages.; Computer science.; Computer programming.; Computers.; Python (Computer language.);
Available copies: 2 / Total copies: 2
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Microsoft Visual C# step by step / by Sharp, J. A.,(John A.),1955-author.;
Your hands-on guide to Microsoft Visual C# fundamentals with Visual Studio 2017. Expand your expertise--and teach yourself the fundamentals of programming with the latest version of Visual C# with Visual Studio 2017. If you are an experienced software developer,you'll get all the guidance, exercises, and code you need to start building responsive, scalable, cloud-connected applications that can run almost anywhere... Discover how to: *Quickly start creating Visual C# code and projects with Visual Studio 2017 *Work with variables, operators, expressions, methods, and program flow *Build more robust apps with error, exception, and resource management *Spot problems fast with the Visual Studio debugger *Make the most of improvements to C# methods, parameters, and switch statements *Master the C# object model, and create your own functional data structures *Leverage advanced properties, indexers, generics, and collection classes *Create Windows 10 apps that share data, collaborate, and use cloud services *Integrate Cortana to voice-enable your applications *Perform complex queries over object collections with LINQ *Improve application throughput and response time with asynchronous methods *Use delegates and decoupling to construct highly extensible systems *Customize C# operator behavior over your own classes and structures *Streamline development with app templates *Implement the powerful Model-View-ViewModel (MVVM) pattern *Develop cloud-connected applications that seamlessly follow users across devices *Build UWP applications that retrieve complex data via REST and present it intuitively.
Subjects: Microsoft Visual C♯; Object-oriented programming (Computer science); Computer programming.; C# (Computer program language); Visual programming (Computer science);
Available copies: 1 / Total copies: 1
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