Search result for Variables and data types Online Courses & Certifications
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Learn to code in Java from Scratch
by Bluelime Learning Solutions- 4.5
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4 hours on-demand video
Learning to code can be both fun and rewarding . I will show you how to install Java JDK and NetBeans IDE. Along the way, we will cover topics such as:Declaring and initializing variables with a variety of data typesExploring Basic Arithmetic operatorsTroubleshoot Compile errorsControlling flow with conditional codeCreating MethodCreating Event Handler methodsUsing Component controls and changing their properties...
$12.99
Network Analysis in Systems Biology
by Avi Ma’ayan, PhD- 4.5
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Approx. 30 hours to complete
An introduction to data integration and statistical methods used in contemporary Systems Biology, Bioinformatics and Systems Pharmacology research. The course covers methods to process raw data from genome-wide mRNA expression studies (microarrays and RNA-seq) including data normalization, differential expression, clustering, enrichment analysis and network construction. Big Data in Biology and Data Integration...
Business Analytics for Decision Making
by Manuel Laguna- 4.6
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Approx. 9 hours to complete
We will start with cluster analysis, a technique for data reduction that is very useful in market segmentation. Data Exploration and Reduction — Cluster Analysis Data Reduction and Unsupervised Learning Preparing Data and Measuring Dissimilarities Hierarchical and k-Means Clustering Dealing with Uncertainty and Analyzing Risk Defining Output Variables and Analyzing the Results...
Code Free Data Science
by Natasha Balac, Ph.D.- 4.3
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Approx. 14 hours to complete
• Essential Data Science skills to design, build, test and evaluate predictive models • Ways to apply Data Science algorithms to real data and evaluate and interpret the results Big Data Characteristics and Applications Big Data Impact and Challanges Big Data Analytics: Applications, Prospects and Challenges Data Types and Formats in KNIME Data Manipulation and Visualization...
Predictive Modeling and Transforming Clinical Practice
by Laura K. Wiley, PhD- 0.0
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Approx. 11 hours to complete
This course examines specific challenges and methods of clinical implementation, that clinical data scientists must be aware of when developing their predictive models. Accessing Course Data and Technology Platform Qualitative Methods: Data Collection Qualitative Methods: Data Analysis Techniques: Model Implementation and Sustainability Introduction to Clinical Prediction Model Implementation and Sustainability Techniques: Data Selection, Model Building, and Evaluation...
Using clinical health data for better healthcare
by Tim Shaw- 4.6
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Approx. 15 hours to complete
While this is placing emphasis on the input of quality health data in digital records and systems, the delivery of safe and quality healthcare relies not only on the input of data, but also the ability to access and derive meaning from data to generate evidence, inform decision making and drive better health outcomes....
MCSD 70-483 C# Complete Practice Exams:Real Exam Questions
by EXAM SUCCESS- 0.0
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Candidates for this exam are developers with at least one year of experience programming essential business logic for a variety of application types, hardware, and software platforms using C#. Data validation and working with data collections including LINQ Decision and iteration statements Create and Use Types (25-30%) Debug Applications and Implement Security (25-30%)...
$12.99
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Corporate Finance Essentials II
by Javier Estrada- 4.6
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Approx. 8 hours to complete
capital structure, and dividend policy. ● Get an overview in issues related to bonds, such as type of bonds, their return (yield to maturity) and default risk Risk and return Correlation and Diversification The CAPM and the Cost of Capital Fundamental and Technical Analysis Bond Issuers and Bond Types Debt Ratios and Required Returns...
Julia Scientific Programming
by Juan H Klopper , Henri Laurie- 4.5
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Approx. 18 hours to complete
This language will be particularly useful for applications in physics, chemistry, astronomy, engineering, data science, bioinformatics and many more. - Understand the advantages and capacities of Julia as a computing language Types and Arrays in Julia Data and Loops in Julia Plotting Data and an Approximately Fitted Line Simultaneously Structuring data and functions in Julia...
Probability and Statistics: To p or not to p?
by Dr James Abdey- 4.6
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Approx. 16 hours to complete
We live in an uncertain and complex world, yet we continually have to make decisions in the present with uncertain future outcomes. Week Four Summary and Key Takeaways 2 Type I and Type II errors 3 P-values, Effect Size and Sample Size Influences 6 Proportions: Confidence Intervals and Hypothesis Testing Week Five Summary and Key Takeaways...
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