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Data structure crash course
by Web Sharing- 4
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6 hours on-demand video
A detailed guide covering all the concepts of data structure This course covers the design, analysis, and implementation of data structures and algorithms to solve computational problems using an object‐oriented programming language. Topics include elementary data structures, (including arrays, stacks, queues, and lists), advanced data structures (including trees and graphs), the...
$12.99
A Crash Course in Data Science
by Jeff Leek, PhD , Brian Caffo, PhD , Roger D. Peng, PhD- 4.5
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Approx. 7 hours to complete
By now you have definitely heard about data science and big data. This is a focused course designed to rapidly get you up to speed on the field of data science. How to describe the structure of a data science project A Crash Course in Data Science The Structure of a Data Science Project Structure of a Data Science Project...
Data Structures and Algorithms
by Brynn Claypoole , Abe Feinberg , Kyle Stewart-Franz- 0.0
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4 Months
Good programmers worry about data structures and their relationships". The Data Structures and Algorithms Nanodegree program will help you excel at solving everything from well-defined problems, In this course you will learn data structures and algorithms by solving 80+ practice problems. You will begin each course by learning to solve defined problems related to a particular data structure and algorithm....
Building Cloud Services with the Java Spring Framework
by Dr. Jules White , Dr. Douglas C. Schmidt- 4.3
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Approx. 14 hours to complete
Securely Handling Client Data & Avoiding Injection Attacks Accepting Client Data with RequestParam Annotations Accepting Client Data with PathVariable Annotations Accepting Client Data with Request Body Annotations & JSON Handling Multipart Data Spring Boot & Application Structure Spring Data Code Walkthrough Spring Data REST Code Walkthrough Spring Data REST Spring Data Mongo DB...
Algorithmic Thinking (Part 1)
by Luay Nakhleh , Scott Rixner , Joe Warren- 4.7
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Approx. 12 hours to complete
The main focus of these tasks is to understand interaction between the algorithms and the structure of the data sets being analyzed by these algorithms. Class structure Plotting data - PoC Project #1 Description Application #1 Description Project #2 Description Application #2 Description...
Algorithmic Thinking (Part 2)
by Luay Nakhleh , Scott Rixner , Joe Warren- 4.7
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Approx. 12 hours to complete
The main focus of these tasks is to understand interaction between the algorithms and the structure of the data sets being analyzed by these algorithms. Class structure (from part 1) Plotting data - PoC Project #3 Description Application #3 Description The RNA secondary structure problem Project #4 Description Application #4 Description...
Python Data Analysis
by Scott Rixner , Joe Warren- 4.7
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Approx. 9 hours to complete
This course will continue the introduction to Python programming that started with Python Programming Essentials and Python Data Representations. Class Structure Tabular Data and Nested Data Structures Tabular Data as a Nested List Tabular Data as a Nested Dictionary Tabular Data Practice Exercises for Nested Data Structures Nested Representations for Tabular Data...
Materials Data Sciences and Informatics
by Dr. Surya Kalidindi- 4.5
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Approx. 9 hours to complete
This course aims to provide a succinct overview of the emerging discipline of Materials Informatics at the intersection of materials science, computational science, and information science. Materials Knowledge and Materials Data Science Data Science Terminology Main Components of Data Science Materials Knowledge and Materials Data Science Digital Representation of Material Structure...
Python Data Visualization
by Scott Rixner , Joe Warren- 4.7
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Approx. 9 hours to complete
This if the final course in the specialization which builds upon the knowledge learned in Python Programming Essentials, Python Data Representations, and Python Data Analysis. We will learn how to install external packages for use within Python, acquire data from sources on the Web, and then we will clean, process, analyze, and visualize that data....
Experimental Methods in Systems Biology
by Marc Birtwistle, PhD- 4.5
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Approx. 18 hours to complete
This course gives a broad overview of a variety of current experimental techniques used in modern systems biology, with focus on obtaining the quantitative data needed for computational modeling purposes in downstream analyses. Lecture 5 - mRNA Sequencing Data Analysis Lecture 2 - Single Cell Time Course Data and Dynamical Model Analyses...
