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Preparing for the SAS Programming Certification Exam
by Stacey Syphus- 4.7
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Approx. 16 hours to complete
In this course you have the opportunity to use the skills you acquired in the two SAS programming courses to solve realistic problems. This course is also designed to give you a thorough review of SAS programming concepts so you are prepared to take the SAS Certified Specialist: Base Programming Using SAS 9....
Data Analysis and Visualization
by Arpan Chakraborty- 0.0
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Approx. 16 weeks
You should take this course if you want to cover the state of the art in data modeling and visualization techniques using the R programming language....
Free
Practical SAS Programming and Certification Review
by Stacey Syphus , Peter Styliadis- 4.9
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Approx. 21 hours to complete
In this course you have the opportunity to use the skills you acquired in the two SAS programming courses to solve realistic problems. This course is also designed to give you a thorough review of SAS programming concepts so you are prepared to take the SAS Certified Specialist: Base Programming Using SAS 9....
Principles of Secure Coding
by Matthew Bishop, PhD- 4.4
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Approx. 16 hours to complete
It begins by discussing the philosophy and principles of secure programming, and then presenting robust programming and the relationship between it and secure programming. The Philosophy of Secure Programming Defining Secure Programming Secure Programming Secure Programming General Philosophy Secure Programming Summary Secure Programming Design Principles Secure Programming Design Principles Overview Secure Programming Design Principles Summary...
Programming Pedagogy in Secondary Schools: Inspiring Computing Teaching
by Ben Garside , Rebecca Franks- 0.0
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3
Programming Pedagogy More programming pedagogy Applying Pedagogy to Programming Rock Paper Scissors...
Free
Approximation Algorithms Part II
by Claire Mathieu- 4.8
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Approx. 33 hours to complete
Here you will learn linear programming duality applied to the design of some approximation algorithms, and semidefinite programming applied to Maxcut. The course content and in particular the homework is of a theoretical nature without any programming assignments. A linear programming relaxation A quadratic programming relaxation General facts about semidefinite programming...
Programming Foundations with JavaScript, HTML and CSS
by Susan H. Rodger , Robert Duvall , Owen Astrachan , Andrew D. Hilton- 4.6
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Approx. 33 hours to complete
Learn foundational programming concepts (e. A Student's Perspective on Learning Programming Tips for Learning Programming Algorithms and Programming Concepts A Seven Step Approach to Solving Programming Problems Rampup Programming Exercise - Variables, Methods and Functions Rampup: Programming Exercise - Loops and Conditionals Programming Exercise: Modifying Images Programming Exercise: Advanced Modifying Images Steganography: Programming Exercise Guide...
Introduction to Programming
by Karl Krueger , Kelly Howard , Julia Van Cleve , Abe Feinberg , James Parkes , Richard Kalehoff- 0.0
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4 Months
Whether you're interested in becoming an artificial intelligence engineer or a web developer—or simply want to use programming to enhance your current career—you'll need a strong foundation, and in this program, you’ll build a strong foundation in fundamental programming concepts. Learn the basics of programming through HTML, CSS, and Python. Explore possible programming paths with our final project selection....
Advanced R Programming
by Roger D. Peng, PhD , Brooke Anderson- 4.3
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Approx. 18 hours to complete
This course covers advanced topics in R programming that are necessary for developing powerful, robust, and reusable data science tools. Topics covered include functional programming in R, robust error handling, object oriented programming, profiling and benchmarking, debugging, and proper design of functions. Welcome to Advanced R Programming Functional Programming Core Functional Programming Functions...
Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming
by Tim Roughgarden- 4.8
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Approx. 15 hours to complete
The primary topics in this part of the specialization are: greedy algorithms (scheduling, minimum spanning trees, clustering, Huffman codes) and dynamic programming (knapsack, sequence alignment, optimal search trees). Programming Assignment #1 Programming Assignment #2 Principles of Dynamic Programming Programming Assignment #3 A Dynamic Programming Algorithm A Dynamic Programming Algorithm A Dynamic Programming Algorithm I...
