Search result for Computer science fundamentals specialization Online Courses & Certifications
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Computer Science And Programming Fundamentals
by Sanjay Sathe- 3.6
7 hours on-demand video
Computer Science and Programming Fundamentals . Must know Computer Science And Programming Knowledge . in computer science which every computer irrespective of which field in computer science you may choose in future . Computer science is inherently an interdisciplinary science and therefore It is fundamental concepts in computer science no matter which ...
$11.99
Algorithms: Design and Analysis, Part 1
by Tim Roughgarden- 0.0
6 Weeks
Welcome to the self paced course, Algorithms: Design and Analysis! Algorithms are the heart of computer science, and the subject has countless practical applications as well as intellectual depth. This specialization is an introduction to algorithms for learners with at least a little programming experience. Learners will practice and master the fundamentals of algorithms through several types of assessments....
$149
Learn The Fundamentals of Programming: Core Concepts
by VICONIC Development- 4.2
1.5 hours on-demand video
Learn the fundamentals of computer science for programming...
$11.99
Python for Data Science, AI & Development
by Joseph Santarcangelo- 4.6
Approx. 17 hours to complete
Python is one of the world’s most popular programming languages, and there has never been greater demand for professionals with the ability to apply Python fundamentals to drive business solutions across industries. This course can be applied to multiple Specialization or Professional Certificate programs. Applied Data Science Specialization Python Programming Fundamentals...
Applied Data Science for Data Analysts
by Kevin Coyle , Mark Roepke , Emma Freeman- 4.2
Approx. 16 hours to complete
In this course, you will develop your data science skills while solving real-world problems. You'll work through the data science process to and use unsupervised learning to explore data, engineer and select meaningful features, and solve complex supervised learning problems using tree-based models. These courses are: Apache Spark for Data Analysts and Data Science Fundamentals for Data Analysts....
Computational Social Science Capstone Project
by Martin Hilbert- 4.7
Approx. 14 hours to complete
Finally, we use a computer simulation model to explore possible generative mechanism and scrutinize aspects that we did not find in our empirical reality, but that help us to improve this aspect of society (drawing on the skills obtained during the 4th course of this specialization). Milestone 4: Agent-Based Computer Simulations Milestone 4: Agent-Based Computer Simulations Introduction...
Implementation of Data Structures
by Deepak B. Phatak , Nagesh Karmali , Ajit Diwan , Ganesh Ramakrishnan- 0.0
6 Weeks
In this Computer Science course, you will learn about implementation of all major abstract data structures using object-oriented programming paradigm of C++. This course is part of the Fundamentals of Computer Science XSeries Program:...
$149
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The R Programming Environment
by Roger D. Peng, PhD , Brooke Anderson- 4.4
Approx. 27 hours to complete
This course provides a rigorous introduction to the R programming language, with a particular focus on using R for software development in a data science setting. Whether you are part of a data science team or working individually within a community of developers, this course will give you the knowledge of R needed to make useful contributions in those settings....
Fundamentals of GIS
by Nick Santos- 4.8
Approx. 31 hours to complete
You will install ArcGIS on your computer and learn how to use online help to answer technical questions. Take Fundamentals of GIS as a standalone course or as part of the Geographic Information Systems (GIS) Specialization. By completing the first class in the Specialization you will gain the skills needed to succeed in the full program....
Capstone Project: Teaching Impacts of Technology
by Beth Simon- 0.0
Approx. 7 hours to complete
In terms of CSTA K-12 computer science standards, throughout the Specialization we primarily cover learning objectives within the “impacts of computing” concept, while also including some within the “networks and the Internet” concepts and the “data and analysis” concept....