Search result for Data storage and analysis Online Courses & Certifications
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Customer Analytics
by Eric Bradlow , Peter Fader , Raghu Iyengar , Ron Berman- 4.6
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Approx. 12 hours to complete
Data about our browsing and buying patterns are everywhere. From credit card transactions and online shopping carts, to customer loyalty programs and user-generated ratings/reviews, there is a staggering amount of data that can be used to describe our past buying behaviors, predict future ones, and prescribe new ways to influence future purchasing decisions....
The Development of Mobile Health Monitoring Systems
by Evgenii Pustozerov , Yuliya Zhivolupova , Aleksei Anisimov- 0.0
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Approx. 21 hours to complete
Working on this task throughout the course, you will acquire a knowledge on how these branches of science, including electronics, mathematics, data science and programming are applied together in a real project. Data Exchange Between Device And Personal Computer Package Data Transferring Results Visualization and Analysis Statistical Metrics and Sample Data Visualization...
Big Data Integration and Processing
by Ilkay Altintas , Amarnath Gupta- 4.4
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Approx. 18 hours to complete
*Retrieve data from example database and big data management systems *Describe the connections between data management operations and the big data processing patterns needed to utilize them in large-scale analytical applications All required software can be downloaded and installed free of charge (except for data charges from your internet provider). Welcome to Big Data Integration and Processing...
Teaching Impacts of Technology: Workplace of the Future
by Beth Simon- 0.0
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Approx. 13 hours to complete
Technology and Computing Concepts: Data retrieval, data vs metadata, SQL, Boolean logic (AND, OR, NOT) Impacts (Advancing your career in the fast moving technical world): digital technology changing jobs, online classes, machines replacing jobs, data science and artificial intelligence Engagement and Assessment Goals Data vs Metadata! Career Exploration: Data Science and Artificial Intelligence...
Understanding and Visualizing Data with Python
by Brenda Gunderson , Brady T. West , Kerby Shedden- 4.7
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Approx. 20 hours to complete
In this course, learners will be introduced to the field of statistics, including where data come from, study design, data management, and exploring and visualizing data. Tutorial videos are provided to walk learners through the creation of visualizations and data management, all within Python. Introduction to Libraries and Data Management Data management and manipulation...
Algorithmic Thinking (Part 1)
by Luay Nakhleh , Scott Rixner , Joe Warren- 4.7
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Approx. 12 hours to complete
As the central part of the course, students will implement several important graph algorithms in Python and then use these algorithms to analyze two large real-world data sets. The main focus of these tasks is to understand interaction between the algorithms and the structure of the data sets being analyzed by these algorithms....
Introduction to Business Analytics: Communicating with Data
by Kevin Hartman- 4.6
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Approx. 15 hours to complete
The goal is to provide businesses and managers with the foundation needed to apply data analytics to real-world challenges they confront daily in their professional lives. Module 2: Working Fast and Thinking Slow Lecture 2-1: Understanding The Growth Of Data Lecture 2-2: Evaluating Methods Of Data Access Lecture 2-4: Planning Your Data Story...
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AWS Fundamentals: Migrating to the Cloud
by Seph Robinson , Sean Rinn- 4.6
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Approx. 9 hours to complete
Migration Preparation and Business Planning (Phase 1) Portfolio Discovery and Planning (Phase 2) Design, Migration and Application Validation (Phase 3 & 4) Lab (not a lab) Intro and Rehost VM Import and VM on AWS (Server Migration Service) Multi-environment Security and Communications Data Considerations When Migrating AWS Storage Gateway and AWS DataSync...
Introduction to Clinical Data
by Nigam Shah , Steven Bagley , David Magnus- 4.6
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Approx. 12 hours to complete
This course introduces you to a framework for successful and ethical medical data mining. Review of key entities and the data they collect Strengths and weaknesses of observational data Representing time, and timing of events, for clinical data mining What makes a good research question and how to construct a data mining workflow answer it...
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. Experimental Design: Variability, Replication, and Power (14:17) Experimental Design: Confounding and Randomization (9:26) Exploratory Analysis (9:21) Exploratory Analysis in R Part I (7:22)...
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