Search result for Variables and data types Online Courses & Certifications
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Bioconductor for Genomic Data Science
by Kasper Daniel Hansen, PhD- 3.9
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Approx. 9 hours to complete
This is the fifth course in the Genomic Big Data Specialization from Johns Hopkins University. R Base Types Usecase: AnnotationHub and GRanges, part 1 Usecase: AnnotationHub and GRanges, part 2 rtracklayer - Data Import Basic Data Types Getting data into Bioconductor...
Creating an Analytical Dataset
by Maureen Wolfson- 0.0
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Approx. 2 weeks
You'll learn this through improving your fluency in Alteryx, a data analytics tool that enables you prepare, blend, and analyze data quickly. lesson 1 Understanding Data Learn to identify structured unstructured and semistructured data. Be able to identify and correct outliers. lesson 3 Data Formatting Learn about the importance of data format for analysis....
Free
Data Management for Clinical Research
by Stephany Duda, PhD , Paul Harris, PhD- 4.7
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Approx. 17 hours to complete
This course presents critical concepts and practical methods to support planning, collection, storage, and dissemination of data in clinical research. Understanding and implementing solid data management principles is critical for any scientific domain. Data Standards: Basic Concepts and Overview Baseline Data and Demographics Review of Variables and Forms Walkthrough: Creating a Project and Adding the First Variables...
Network Security & Database Vulnerabilities
by IBM Security Learning Services- 4.6
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Approx. 14 hours to complete
You will learn the about Local Area Networks, TCP/IP, the OSI Framework and routing basics. You will learn about various security breach types associated with databases and organizations that define standards and provide tools for cybersecurity professionals. Data Source Types Part 1 Data Source Types Part 2 Data Model Types Structured Data and Relational Databases Types of Data...
Introduction to Accounting Data Analytics and Visualization
by Ronald Guymon- 4.8
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Approx. 19 hours to complete
We then present a FACT framework for guiding big data analytics: Frame a question, Assemble data, Calculate the data, and Tell others about the results. Using financial statement data, we explain desirable characteristics of both data and datasets that will lead to effective calculations and visualizations. MODULE 3: DATA AND ITS PROPERTIES 3 Data Types...
The Data Scientist’s Toolbox
by Jeff Leek, PhD , Roger D. Peng, PhD , Brian Caffo, PhD- 4.6
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Approx. 18 hours to complete
In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, questions, and tools that data analysts and data scientists work with. R Markdown, Scientific Thinking, and Big Data Types of Data Science Questions Types of Data Science Questions...
Java for Android : Full course, Start to finish!
by James Hogan III- 4.3
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4 hours on-demand video
We'll build an application that will show you how to start from scratch and finish with an application that stores data in the cloud, that we can upload to Github and post to the Google Play Store. What are variables | Data Types A basic look at arrays and for loops | Storing multiple pieces of data...
$13.99
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Predictive Modeling and Analytics
by Dan Zhang- 3.6
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Approx. 11 hours to complete
You will learn how to carry out exploratory data analysis to gain insights and prepare data for predictive modeling, an essential skill valued in the business. This course is designed for anyone who is interested in using data to gain insights and make better business decisions. Data Cleanup and Transformation Adding and Removing Variables...
R Programming
by Roger D. Peng, PhD , Jeff Leek, PhD , Brian Caffo, PhD- 4.5
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Approx. 57 hours to complete
In this course you will learn how to program in R and how to use R for effective data analysis. Data Types - R Objects and Attributes Data Types - Vectors and Lists Data Types - Matrices Data Types - Factors Data Types - Missing Values Data Types - Data Frames...
Data Modeling and Regression Analysis in Business
by Sridhar Seshadri- 4.4
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Approx. 25 hours to complete
The first set of tools will explore data description, statistical inference, and regression. Lecture 1-8: Plotting Data and Creating Graphs in Rattle Module 1 Readings, Data Sets, and Slides Module 2 Readings, Data Sets, and Slides Module 3: Model Development and Testing with Holdout Data Module 3 Readings, Data Sets, and Slides...
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