Search result for Data structures and algorithms course Online Courses & Certifications
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Genomic Data Science and Clustering (Bioinformatics V)
by Pavel Pevzner , Phillip Compeau- 4.2
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Approx. 10 hours to complete
How did humans migrate out of Africa and spread around the world? In the first half of the course, we will introduce algorithms for clustering a group of objects into a collection of clusters based on their similarity, a classic problem in data science, and see how these algorithms can be applied to gene expression data....
Teaching Impacts of Technology: Workplace of the Future
by Beth Simon- 0.0
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Approx. 13 hours to complete
In this course you’ll focus on how the Internet has enabled new careers and changed expectations in traditional work settings, creating a new vision for the workplace of the future. Technology and Computing Concepts: Data retrieval, data vs metadata, SQL, Boolean logic (AND, OR, NOT) Career Exploration: Data Science and Artificial Intelligence...
Data Structures in C++
by Nisha Kiran- 2.2
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42 mins on-demand video
Learn and master the popular data structures in C++ In this course, we will learn about these data structures. We will cover the most popular data structures used to store data which includes binary search trees, heaps, hash tables and graphs. The course provides comprehensive explanation of data structures binary search trees, heaps, hash tables and graphs....
$12.99
Complete Outlier Detection Algorithms A-Z: In Data Science
by Saurav Singla- 4.8
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1.5 hours on-demand video
Outlier Detection Algorithms in Data Science, Machine Learning, Deep Learning, Data Analysis, Statistics with Python Welcome to the course "Complete Outlier Detection Algorithms A-Z: In Data Science". Outlier detection algorithms are useful in areas such as Machine Learning, Deep Learning, Data Science, Pattern Recognition, Data Analysis, and Statistics....
$12.99
Applied Machine Learning in Python
by Kevyn Collins-Thompson- 4.6
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Approx. 34 hours to complete
This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods. This course should be taken after Introduction to Data Science in Python and Applied Plotting, Charting & Data Representation in Python and before Applied Text Mining in Python and Applied Social Analysis in Python....
Basic Recommender Systems
by Paolo Cremonesi- 3.9
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Approx. 12 hours to complete
The techniques described touch both collaborative and content-based approaches and include the most important algorithms used to provide recommendations. Providing affordable, personalised and high-quality recommendations is always a challenge! This course also leverages two important EIT Overarching Learning Outcomes (OLOs), related to creativity and innovation skills. Course overview and welcome by the instructor...
Computer Science: Algorithms, Theory, and Machines
by Robert Sedgewick , Kevin Wayne- 4.7
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Approx. 20 hours to complete
This course introduces the broader discipline of computer science to people having basic familiarity with Java programming. The course emphasizes the relationships between applications programming, the theory of computation, real computers, and the field's history and evolution, including the nature of the contributions of Boole, Shannon, Turing, von Neumann, and others....
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R Programming Hands-on Specialization for Data Science (Lv1)
by Irfan Elahi- 3.8
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11 hours on-demand video
To be proficient in R for Data Science requires thorough understanding of R programming constructs, data structures and none of the available courses cover them with the comprehensiveness and depth that each topic deserves. The course will start from the very basics of introducing Data Science, importance of R and then will gradually build your concepts....
$12.99
Introduction to Data Structures
by Aspen Olmsted- 0.0
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11 Weeks
This is the 3rd course in the intermediate, undergraduate-level offering that makes up the larger Programming and Data Structures MicroBachelors program. Students learn how to use and program these data structures through the lectures and the labs. Students will not only learn to use data structures to organize, manage, and storage in formats that enable efficient access and modification....
$332
Using SAS Viya REST APIs with Python and R
by Jordan Bakerman , Ari Zitin- 0.0
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Approx. 18 hours to complete
SAS Viya is an in-memory distributed environment used to analyze big data quickly and efficiently. You’ll learn to upload data into the cloud, analyze data, and create predictive models with SAS Viya using familiar open source functionality via the SWAT package -- the SAS Scripting Wrapper for Analytics Transfer. Connecting to CAS and Reading in Data...
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