Inhalt: Do you want to convert your novel into an audiobook? Audiobooks offer additional revenue and boost sales of printed versions. However, audiobooks require a new set of skills. In this course, instructor Mark Niemann-Ross steps through the skills you'll need your audiobook team to have, as well as the tasks and techniques to complete an audiobook. Mark goes over reasons why you shouldn't create an audio book, as well as reasons why you should. He reviews tasks for the author, the audiobook producer, the narrator, and the audio engineer, as well as any hardware or software that these roles may require. Mark walks you through the hands-on process of editing an audiobook, then concludes with tips on how to distribute and market your audiobook effectively. Umfang: 01:36:00
Inhalt: Successful programmers know more than just how to code. They also know how to think about solving problems. Code Clinic is a series of courses where our instructors solve the same problems using different programming languages. Here, Mark Niemann-Ross works with R. Throughout the course, Mark introduces challenges and then provides an overview of his solutions in R. Challenges include topics such as statistical analysis and accessing peripheral devices. Visit other courses in the series to see how to solve the same challenges in languages like C++, C#, JavaScript, PHP, Python, Ruby, Go, and Swift. Umfang: 01:18:58.00
Inhalt: Successful programmers know more than a computer language. They also know how to think about solving problems. They use "computational thinking": breaking a problem down into segments that lend themselves to technical solutions. Code Clinic is a series of ten courses where authors solve the same problems using different programming languages. Here, Mark Niemann-Ross works with R. Mark introduces challenges and then provides an overview of his solutions in R. Challenges include topics such as statistical analysis, searching directories for images, and accessing peripheral devices. Visit other courses in the series to see how to solve the exact same challenges in languages like C++, C#, JavaScript, PHP, Python, Ruby, and Swift. Umfang: 03:24:29.00
Inhalt: SQLite is a powerful embedded database engine that's a core storage technology in Android and iOS applications. In this installment of the Database Clinic series-in which experts and their databases of choice are pitted against a series of the same challenges- Mark Niemann-Ross demonstrates how to leverage SQLite to solve common database problems. After providing a brief overview of the strengths and weaknesses of SQLite, Mark explains how to create a database and populate it using a public dataset. He also shows how to use a SQLite database with programming languages such as Python and R, handle subqueries and queries in SQLite, and more. Umfang: 02:10:22.00
Inhalt: Programming is learned in small bits. You build on basic concepts. You transfer the knowledge you already have to the next language. Lunch Break Lessons teaches R-one of the most popular programming languages for data analysis and reporting-in short lessons that expand on what existing programmers already know. The five minutes you spend each week will provide you with a building block you can use in the next two hours at work. Review language basics, discover methods to improve existing R code, explore new and interesting features, and learn about useful development tools and libraries that will make your time programming with R that much more productive. All series code samples can be downloaded at https://github.com/mnr/five-minutes-of-R. Note: Because this is an ongoing series, viewers will not receive a certificate of completion. Umfang: 08:02:33.00
Inhalt: One of the fundamental difficulties of data science is working with dates and times. This course shows data engineers, DevOps practitioners, and data-science programmers the most common (and many not so common!) problems and how to use R-based tools to implement solutions. Learn how dates and times are stored and retrieved in base R. Find out how to format, compare, add and subtract, and extract dates and times using built-in R functions. Then discover how to incorporate specialized R packages, such as lubridate, busdater, zoo, timelineR, anytime, datetime, and more, to perform some of the heavy lifting. Instructor Mark Niemann-Ross walks you through each package, so you can appreciate the advantages and best uses of each one. Umfang: 02:17:27.00
Inhalt: In a perfect world, every dataset would be stored as XML text with context for every piece of information. Numbers would never be stored as strings. Decimal values would never be stored as scientific notation. Strings would never be longer than 500 characters. But obviously, we don't live in a perfect world of data. And big data only makes this issue, well, bigger. This is the problem of variety; data arriving in multiple formats. Data scientists spend an inordinate amount of time with this problem, using brain power that would be better spent on valuable analysis tasks. In this course, Mark Niemann-Ross introduces the problem of data variety and demonstrates how to use the unique capabilities of R to solve them. Learn how to import a wide variety of data, from Excel to ODS files. Umfang: 01:27:59.00
Inhalt: High-velocity data-such as the information that springs from Twitter and IoT devices-comes barreling in at a speed beyond normal comprehension, demanding high-performance from both hardware and software. While it might not initially appear up to the challenge, the R programming language can be revved up to operate with high-velocity data. Written close to the metal by sitting directly on top of the C programming language, R provides a rich set of data structures and concepts. This course drills down into efficient R programming, providing practical strategies that can help you work your mojo on high-velocity data. Instructor Mark Niemann-Ross begins by sharing a framework for understanding the different types of high-velocity data. He then covers how to use R to acquire high-velocity data, as well as how to leverage profiling tools and optimize R code for use with high-velocity data. He wraps up by exploring how to use R to present data, including how to use Shiny-an R package that allows you to build web apps straight from R-for interactive dashboards. Umfang: 01:21:06.00
Inhalt: Data fills all available space, and now that storage is cheap, the amount of data has exploded. However, all that information is useless without analysis and context. The R programming language is designed to make it easier to analyze and visualize massive amounts of data. For example, R provides the ability to multiply one block of variables by another-an assumption that provides inherent advantages over other languages. This course shows why R is ideal for high volumes of data, introduces more efficient ways to use the language, and explains how to avoid the problems and capitalize on the opportunities of big data. Learn how to determine if you have enough memory and processing power, produce visualizations of big data, optimize your R code, and use advanced techniques such as parallel processing to speed up your computations. Plus, discover how to integrate R with big-data solutions such as SQL databases and Apache Spark. Umfang: 01:25:27.00
Inhalt: R is powerful, but not intuitive. There is a strong and diverse R ecosystem, and data scientists are expected to mix and match from the different versions and packages. Before you can even begin programming, you have to choose, install, and set up R to work for you. In this course, Mark Niemann-Ross provides a direct and efficient introduction to the many flavors of the R programming language, including base R, tidyverse R, R Open from Microsoft, and Bioconductor R. He also provides a peek at programming with R interactively and via the command line, and introduces some helpful packages for working with SQL, 3D graphics, data, and clusters in R. At the end of this short course, you will have installed a version of R along with a few core libraries and an optimized IDE. Umfang: 01:42:38.00
Inhalt: The Raspberry Pi is a tiny, inexpensive computer that can unlock big possibilities. In this course, kick-start your journey into the world of physical computing by learning how to set up, configure, and experiment with a Raspberry Pi. Mark Niemann-Ross discusses the equipment required to run your Pi, sharing how to select a monitor, memory card, and keyboard, among other accessories. He discusses how to boot up your Pi, touches on the benefits of Virtual Network Computing (VPN), and shares how to make your Pi play sounds. Plus, explore basic electronics with the different General Purpose Input-Output (GPIO) pins and learn how to set up and work with the Raspberry Pi Camera Module. Umfang: 01:55:49.00
Inhalt: Raspberry Pi lets you explore electronics, computer, programming, and the Internet of Things. You can build complex projects on a budget-from robots to media servers. This weekly series helps you create meaningful projects in a short time, and learn tips and key techniques that will help you across your creations. Each episode teaches you a coherent set of software and hardware approaches to connect computing power to the physical world. Join instructor Mark Niemann-Ross every week for a new Raspberry Pi technique. Note: Because this course is an ongoing series, viewers will not receive a certificate of completion. Umfang: 04:22:57.00
Inhalt: The Raspberry Pi talks to the outside world through the general-purpose input/output device, known as the GPIO. In this course, instructor Mark Niemann-Ross describes these pins and explains how to use the GPIO to control lights and motors, read data from sensors, and interact with the Internet of Things. It combines some hardware basics-such as identifying pins-with some programming in a variety of different languages, including Python, Scratch C++, Java, and Wolfram. By learning how to control input and output through GPIO pins, you'll open up a whole new world of electronics. Umfang: 03:03:21.00
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