Search result for Variables and data types Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 2,676 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Introduction to Java
by Noel J. Bergman , Evan Bergman- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 12 hours to complete
After completing this course, you will be able to identify Java’s benefits, program in basic Java syntax using Java data types, and incorporate branches and loops. Module Introduction and Benefits of Java Key Benefits: Packages, Syntax and Libraries Primitive Data Types Explain how to use basic Java syntax and data types....
Principles of fMRI 1
by Martin Lindquist, PhD, MSc , Tor Wager, PhD- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 8 hours to complete
Functional Magnetic Resonance Imaging (fMRI) is the most widely used technique for investigating the living, functioning human brain as people perform tasks and experience mental states. Module 8: Signal, Noise, and Bold Physiology Module 9: fMRI Artifacts and Types of Noise 1: Spatial and Temporal Resolution of Bold Part 1 2: Spatial and Temporal Resolution of Bold Part 2...
Java Certification Exam Simulator 2020-Pass OCA Exam 1Z0-808
by Krishna Sandeep- 0.0
-
![]()
![]()
![]()
![]()
![]()
Compare and contrast the features and components of Java such as: platform independence, object orientation, encapsulation, etc. Working With Java Data Types Declare and initialize variables (including casting of primitive data types) Differentiate between object reference variables and primitive variables Manipulate data using the StringBuilder class and its methods Create and manipulate calendar data using classes from java....
$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. Following the first course, which focused on representation, and the second, which focused on inference, this course addresses the question of learning: how a PGM can be learned from a data set of examples....
Linear Regression in R for Public Health
by Alex Bottle , Victoria Cornelius- 4.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 15 hours to complete
You will use the free and versatile software package R, used by statisticians and data scientists in academia, governments and industry worldwide. Linear Regression and Model Assumptions: Part I Data set and Glossary Interactions between binary and continuous variables Read in and check a data set's variables using the software R prior to undertaking a model analysis...
Culminating Project in Health Informatics
by Ashwini S. Davison, M.D. , Harold P. Lehmann, MD, Ph.D.- 4.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 14 hours to complete
Translating an "As Is" and "To Be" into a Stack Analysis Leveraging Social Determinants of Health Data to Improve Accountable Care Delivery and Gain a Complete Picture of Patients’ Needs A Proposed National Research and Development Agenda for Population Health informatics Public and Population Health Informatics: The Bridging of Big Data to Benefit Communities...
Statistics for Genomic Data Science
by Jeff Leek, PhD- 4.2
-
![]()
![]()
![]()
![]()
![]()
Approx. 9 hours to complete
An introduction to the statistics behind the most popular genomic data science projects. This is the sixth course in the Genomic Big Data Science Specialization from Johns Hopkins University. Experimental Design: Variability, Replication, and Power (14:17) Experimental Design: Confounding and Randomization (9:26) Data Transforms (7:31) Introduction and Materials Combining Data Types (eQTL) (6:04)...
Related searches
Machine Learning for Accounting with Python
by Linden Lu- 0.0
-
![]()
![]()
![]()
![]()
![]()
Approx. 63 hours to complete
This course, Machine Learning for Accounting with Python, introduces machine learning algorithms (models) and their applications in accounting problems. While Accounting Data Analytics with Python covers data understanding and data preparation in the data analytics process, this course covers the next two steps in the process, modeling and model evaluation. 2 Introduction to Data Preprocessing...
Data Science: Linear Regression
by Rafael Irizarry- 0.0
-
![]()
![]()
![]()
![]()
![]()
8 Weeks
Learn how to use R to implement linear regression, one of the most common statistical modeling approaches in data science. This course, part ofourProfessional Certificate Program in Data Science, covers how to implement linear regression and adjust for confounding in practice using R. What is confounding and how to detect it...
$99
Programming Perl for Beginners - The Ultimate Perl Tutorial
by Ismail Taibi- 3.8
-
![]()
![]()
![]()
![]()
![]()
2.5 hours on-demand video
Learn the basics of programming and start coding. Luckily, there are plenty of languages that are simple to learn, highly versatile to use, and make a great starting point for gaining fluency in the coding universe. Work with different data types including strings, numbers, variables and user input Create and use array, subroutines, hashes, and regular expressions in Perl applications...
$9.99
Previous
