Search result for Data storage and analysis Online Courses & Certifications
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Genomic Data Science Capstone
by Jeff Leek, PhD , Kasper Daniel Hansen, PhD- 4.5
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Approx. 12 hours to complete
In this culminating project, you will deploy the tools and techniques that you've mastered over the course of the specialization. You'll work with a real data set to perform analyses and prepare a report of your findings. Getting the data from SRA Exploratory Analysis Statistical Analysis Gene Set Analysis Describe Your Analysis...
Explore Core Data Concepts in Microsoft Azure
by Microsoft- 4.8
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Approx. 9 hours to complete
In this course, you will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build your foundational knowledge of cloud data services within Microsoft Azure. Core Data Concepts and Roles Identify types of data and data storage Describe the difference between batch and streaming data...
Building Batch Data Pipelines on GCP
by Google Cloud Training- 4.5
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Approx. 13 hours to complete
Furthermore, this course covers several technologies on Google Cloud Platform for data transformation including BigQuery, executing Spark on Cloud Dataproc, pipeline graphs in Cloud Data Fusion and serverless data processing with Cloud Dataflow. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer Lab: Building and executing a pipeline graph in Cloud Data Fusion...
Introduction to Computers and Office Productivity Software
by Kenneth W T Leung- 4.6
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Approx. 15 hours to complete
Word processing applications, including MS Word, MS Excel, and MS PowerPoint Survey and Forms ANALYSIS AND STORAGE OF DATA USING SPREADSHEET Introduction and Installation Interface and General Operation...
Introduction to Genomic Technologies
by Steven Salzberg, PhD , Jeff Leek, PhD- 4.6
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Approx. 6 hours to complete
This course introduces you to the basic biology of modern genomics and the experimental tools that we use to measure it. You'll also get an introduction to the key concepts in computing and data science that you'll need to understand how data from next-generation sequencing experiments are generated and analyzed. Memory and Data Structures...
Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure
by Roy H. Campbell , Reza Farivar- 4.2
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Approx. 15 hours to complete
Week four introduces higher level cloud services with special focus on cloud storage services. We introduce Hive, HDFS and Ceph as pure Big Data Storage and file systems, and move on to cloud object storage systems, virtual hard drives and virtual archival storage options. 2 Virtualizing the Network and Storage 8 Protocol Buffers and Thrift...
Introduction to Big Data
by Ilkay Altintas , Amarnath Gupta- 4.6
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Approx. 17 hours to complete
It provides an introduction to one of the most common frameworks, Hadoop, that has made big data analysis easier and more accessible -- increasing the potential for data to transform our world! * Explain the V’s of Big Data (volume, velocity, variety, veracity, valence, and value) and why each impacts data collection, monitoring, storage, analysis and reporting....
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Principles of fMRI 1
by Martin Lindquist, PhD, MSc , Tor Wager, PhD- 4.6
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Approx. 8 hours to complete
This course covers the design, acquisition, and analysis of Functional Magnetic Resonance Imaging (fMRI) data, including psychological inference, MR Physics, K Space, experimental design, pre-processing of fMRI data, as well as Generalized Linear Models (GLM’s). Module 8: Signal, Noise, and Bold Physiology Module 9: fMRI Artifacts and Types of Noise 1: Spatial and Temporal Resolution of Bold Part 1...
IBM Data Analyst Capstone Project
by Ramesh Sannareddy , Rav Ahuja- 4.6
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Approx. 13 hours to complete
You will assume the role of an Associate Data Analyst who has recently joined the organization and be presented with a business challenge that requires data analysis to be performed on real-world datasets. The project will culminate with a presentation of your data analysis report, with an executive summary for the various stakeholders in the organization....
Experimental Design Basics
by Douglas C. Montgomery- 4.7
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Approx. 13 hours to complete
The course objective is to learn how to plan, design and conduct experiments efficiently and effectively, and analyze the resulting data to obtain objective conclusions. Both design and statistical analysis issues are discussed. Unit 1: Getting Started and Introduction to Design and Analysis of Experiments Analyze the resulting data of an experiment, and communicate the results effectively to decision-makers....
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