Search result for Computer science fundamentals certificate Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 231 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Data Science: Machine Learning
by Rafael Irizarry- 0.0
-
![]()
![]()
![]()
![]()
![]()
8 Weeks
Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques. Perhaps the most popular data science methodologies come from machine learning. What distinguishes machine learning from other computer guided decision processes is that it builds prediction algorithms using data....
$99
Programming Basics
by Deepak B. Phatak , Supratik Chakraborty , Nagesh Karmali , Firuza Karmali (Aibara)- 0.0
-
![]()
![]()
![]()
![]()
![]()
9 Weeks
Learn basic computer programming skills and master the art of writing C/C++ programs to solve real world problems. Basic concepts of computer programming are introduced, starting with the notion of an algorithm. This course is part of the Fundamentals of Computer Science XSeries Program:...
$149
Data Science: Productivity Tools
by Rafael Irizarry- 0.0
-
![]()
![]()
![]()
![]()
![]()
8 Weeks
Part of our Professional Certificate Program in Data Science, this course explains how to use Unix/Linux as a tool for managing files and directories on your computer and how to keep the file system organized....
$99
Introduction to High-Performance and Parallel Computing
by Shelley Knuth , Thomas Hauser- 3.4
-
![]()
![]()
![]()
![]()
![]()
Approx. 18 hours to complete
This course introduces the fundamentals of high-performance and parallel computing. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others....
Computation Structures 2: Computer Architecture
by Chris Terman , Steve Ward , Silvina Hanono Wachman- 0.0
-
![]()
![]()
![]()
![]()
![]()
10 Weeks
Learn the basic principles of computer architecture in this interactive computer science course from MIT. This computer science course is a bottom-up exploration of the abstractions, principles, and techniques used in the design of digital and computer systems. How to translate high-level programs into sequences of computer instructions...
$49
Fundamentals of Current Flow
by Supriyo Datta , Shuvro Chowdhury- 0.0
-
![]()
![]()
![]()
![]()
![]()
5 Weeks
To be sure your computer is compatible, see Proctortrack Technical Requirements. Fundamentals of Current Flow is one course in a growing suite of unique, 1-credit-hour short courses developed in an edX/Purdue University collaboration....
$750
Applied AI with DeepLearning
by Romeo Kienzler , Niketan Pansare , Tom Hanlon , Max Pumperla , Ilja Rasin- 4.4
-
![]()
![]()
![]()
![]()
![]()
Approx. 24 hours to complete
This course, Applied Artificial Intelligence with DeepLearning, is part of the IBM Advanced Data Science Certificate which IBM is currently creating and gives you easy access to the invaluable insights into Deep Learning models used by experts in Natural Language Processing, Computer Vision, Time Series Analysis, and many other disciplines. DeepLearning Fundamentals...
Related searches
Computer System Design: Advanced Concepts of Modern Microprocessors
by Per Stenström- 0.0
-
![]()
![]()
![]()
![]()
![]()
6 Weeks
Learn about advanced computer design concepts, including how to make modern multicore-based computers both fast and energy efficient. In this computer science course, you will learn advanced concepts underpinning the design of today’s multicore-based computers. How computer design affects how energy-efficiently and fast a program can execute on future computer systems...
$49
Computer Science: Programming with a Purpose
by Robert Sedgewick , Kevin Wayne- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 88 hours to complete
Beyond direct applications, it is the first step in understanding the nature of computer science’s undeniable impact on the modern world. This course covers the first half of our book Computer Science: An Interdisciplinary Approach (the second half is covered in our Coursera course Computer Science: Algorithms, Theory, and Machines). It does not offer a certificate upon completion....
What is Data Science?
by Rav Ahuja , Alex Aklson- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 9 hours to complete
Since then, people working in data science have carved out a unique and distinct field for the work they do. Fundamentals of Data Science Old problems, new problems, Data Science solutions Data Science Topics and Algorithms Cloud for Data Science Professional Certificate Career Support Data Science Topics Data Science Skills & Big Data...
Previous
