Search result for Introduction to Big Data Online Courses & Certifications
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Design and Implementation of Digital Health Interventions
by Lisa Danquah , Céire Costelloe- 0.0
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Approx. 31 hours to complete
These session cover areas to include data regulations, examples of data breaches in digital health, the challenges and opportunities of technology adoption and implementation with a focus on the non-adoption, abandonment, scale-up, spread and sustainability framework (NASSS Framework). Introduction to International Data Standards An introduction to Contextual Analysis (PESTLE and SWOT)...
Statistics
by Sean Laraway , Ronald Rogers , Katie Kormanik- 0.0
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Approx. 4 months
We live in a time of unprecedented access to information. You'll learn how to use statistics to interpret that information and make decisions....
Free
Data Visualization
by John C. Hart- 4.5
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Approx. 15 hours to complete
Learn the general concepts of data mining along with basic methodologies and applications. Then dive into one subfield in data mining: pattern discovery. Welcome to Data Visualization! Week 1 Introduction Programming Assignment 1: Visualize Data Using a Chart Week 3: Visualization of Non-Numerical Data Week 3 Introduction Programming Assignment 2: Visualize Network Data...
Statistics for Genomic Data Science
by Jeff Leek, PhD- 4.2
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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. Welcome to Statistics for Genomic Data Science Data Transforms (7:31) Introduction and Materials Combining Data Types (eQTL) (6:04) Knowing When to Get Help (2:31)...
Getting and Cleaning Data
by Jeff Leek, PhD , Roger D. Peng, PhD , Brian Caffo, PhD- 4.6
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Approx. 20 hours to complete
Before you can work with data you have to get some. This course will cover the basic ways that data can be obtained. It will also cover the basics of data cleaning and how to make data “tidy”. Managing Data Frames with dplyr - Introduction Apply data cleaning basics to make data "tidy"...
Capstone: Analyzing (Social) Network Data
by Christine Alvarado , Mia Minnes , Leo Porter- 4.7
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Approx. 18 hours to complete
We will provide you with a real-world data set and some infrastructure for getting started, as well as some warm up tasks and basic project requirements, but then it’ll be up to you where you want to take the project. Welcome and Course Introduction Introduction to (some) social network data Representing social network data as a graph...
UX Data Analysis
by Chantal Labbé , Marc Fredette- 0.0
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6 Weeks
Become a UX data scientist! From qualitative data analysis to big data Web analytics, you will be able to leverage insights from data to make empirically-based recommendations. Do big data and UX speak to you? Taught by award-winning faculty members, this course is an introduction to the statistical methods and tools useful to UX data analysis....
$299
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Bacterial Genomes III: Comparative Genomics using Artemis Comparison Tool (ACT)
by Dr. Anna Protasio , Dr. Ulrike Böhme , Dr. Christine Boinett , Martin Aslett , Matthew Dorman , Professor Nicholas Thomson- 0.0
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Learn to use comparative genomics to improve your knowledge of microbial genomes. Introduction to Comparative Genomics and Artemis Comparison Tool (ACT) Course Introduction Introduction to ACT Analysing already available data Introduction...
Free
Predictive Modeling with Logistic Regression using SAS
by Michael J Patetta- 4.5
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Approx. 17 hours to complete
You learn to use logistic regression to model an individual's behavior as a function of known inputs, create effect plots and odds ratio plots, handle missing data values, and tackle multicollinearity in your predictors. Set Up Data for This Course (REQUIRED) Linking to Other Data Sets Introduction Introduction Demo: Using Backward Elimination to Subset the Variables...
Java Programming: Principles of Software Design
by Robert Duvall , Owen Astrachan , Andrew D. Hilton , Susan H. Rodger- 4.6
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Approx. 13 hours to complete
Learn how to create programming solutions that scale using Java interfaces. Use timing data to analyze empirical performance; Welcome to the Course Introduction Introduction Interfaces to Avoid Duplication Programming Exercise: Searching Earthquake Data Programming Exercise: Filtering Data Searching Earthquake Data Filtering Data Introduction Translating to Code Introduction Where To Go From Here...
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