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Data Structures: An Active Learning Approach
by Niema Moshiri , Christine Alvarado , Liz Izhikevich- 0.0
10 Weeks
Learn about high-performance data structures and supporting algorithms, as well as the fundamentals of theoretical time complexity analysis through an interactive online text. This interactive text used in this course was written with the intention of teaching Computer Science students about various data structures as well as the applications in which each data structure would be appropriate to use....
$50
Introduction to Big Data
by Ilkay Altintas , Amarnath Gupta- 4.6
Approx. 17 hours to complete
This course is for those new to data science and interested in understanding why the Big Data Era has come to be. * Get value out of Big Data by using a 5-step process to structure your analysis. By the end of this course you will be able to. : Five Components of Data Science...
Mastering Clean Code in JavaScript
by Packt Publishing- 4.3
4.5 hours on-demand video
Alongside HTML and CSS, JavaScript is one of the three core technologies of World Wide Web content production. better structure your JavaScript code. various ways you can structure your modules. By the end of the course, you will have learned to learn clean coding He is also finishing his Computer Science studies at the University of Athens....
$12.99
Probabilistic Graphical Models 3: Learning
by Daphne Koller- 4.6
Approx. 66 hours to complete
These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more. This course is the third in a sequence of three. The course discusses the key problems of parameter estimation in both directed and undirected models, as well as the structure learning task for directed models....
Building the Business Model for Corporate Entrepreneurs
by Daniel Gordon- 4.7
Approx. 11 hours to complete
Led by Dan Gordon, a University of Maryland faculty member who teaches business modeling in the National Science Foundation's I-Corps Program, this course enables you to develop and apply the Business Model Canvas tool to scope a corporate challenge or opportunity. Preview of the Course Product-market fit: The heart of the business model...
UML Class Diagrams for Software Engineering
by Monique Snoeck- 0.0
3 Weeks
In this computer science course, you will gain an in-depth understanding of Unified Modeling Language (UML) class diagrams, which are used to visually represent the conceptual design of a system. You will learn about UML class diagrams and how they are used to map out the structure of a business domain by showing business objects, their attributes, and associations....
$49
Systems Thinking Made Simple
by Systems Innovation- 4
1 hour on-demand video
The course is broken down into four main areas. In the third section to the course we will develop our model into a more powerful framework by adding the concept of the system’s environment, discussing systems boundaries, synergistic interactions between systems and the emergence of hierarchical structure out of these synergies....
$13.99
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Happy Hair Detox: Give up shampoo & discover beautiful hair
by Lucy AitkenRead- 3.9
1 hour on-demand video
Unit One - Introduction and reasons for giving up shampooUnit Two - Healthy alternatives to shampooUnit Three - Healthy alternatives to conditionerUnit Four - Top Tips for getting through your detox periodUnit Five - The science of No Poo and the structure of your hairUnit Six - What is behind the label of your shampoo bottle?...
$12.99
FRM Part 2 - Book 2 - Credit Risk (Part 1/2)
by Analyst Prep- 4.1
7 hours on-demand video
FRM Course by Prof. Master of Science in Finance James Forgan, PhD, summarizes the first 9 chapters from the Credit Risk book so you can learn or review all of the important concepts for your FRM part 2 exam. This course includes the following chapters: Capital Structure in Banks...
$12.99
Probabilistic Graphical Models 2: Inference
by Daphne Koller- 4.6
Approx. 38 hours to complete
This course is the second in a sequence of three. Following the first course, which focused on representation, this course addresses the question of probabilistic inference: how a PGM can be used to answer questions. The course presents both exact and approximate algorithms for different types of inference tasks, and discusses where each could best be applied....