Design Patterns Bootcamp
Join Eric Freeman and Elisabeth Robson, co-authors of the industry’s “go to” book for learning design patterns, Head First Design Patterns, in a two-day course on the fundamentals of patterns. You’ll learn soup to nuts about patterns and everything you need to understand them and use them in your own code. You’ll also get a great overview of the object-oriented principles behind all patterns, and the foundational patterns from the Gang of Four.
Dates: Oct 24-25, 2018.
Foundations of Design Patterns
Design patterns are reusable solutions that solve the challenges software developers face over and over again. Rather than reinventing the wheel, learn how to make use of these proven and tested patterns that will make your software more reliable and flexible to change. This course will introduce you to design patterns and take you through seven of the most used object-oriented patterns that will make your development faster and easier. Elisabeth Robson and Eric Freeman, coauthors of Head First Design Patterns, join forces to provide an overview of each pattern and examples of the pattern in action. Featured design patterns include the strategy, observer, decorator, singleton, collection, state, and factory method patterns.
Available: Anytime to lynda.com and LinkedIn Training members
WickedlySmart ONLINE COURSES
Build the Game of Life
Build a Generative Music Box
At the end of the course you’ll have a fully functional and interactive data visualization of the NOAA data, and some new skills you can apply to your own data too.
How to Visualize Data with D3
At the end of the course you’ll have completed a data visualization of the NASA data, and have some new skills you can apply to your own data too.
How to Visualize Data with R
Welcome to How to Visualize Data with R. In this project, join Elisabeth Robson to learn how to use the R programming language and RStudio to visualize data. Elisabeth will take you through building a visualization using data downloaded from the US National Weather Service. You’ll learn how to use R to read data from a CSV file, inspect and understand data and data frames, and use the plot() and ggplot() functions to create data visualizations. Along the way you’ll learn from the ground up how to use R and RStudio, including how to create and run an R script, basic R data types and values, how to create a scatter plot graph, how linear regression works, and how to install and use an R package.
At the end of the course you’ll have completed a data visualization of the weather data, and have some new skills you can apply to your own data too.