Search result for Data collection Online Courses & Certifications
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Planning for Learning: Formative Assessment
by Andrea Mapplebeck , Chris Harrison , Dylan Wiliam- 0.0
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5
Develop the way you use evidence of student understanding to inform your teaching and enable learning during and across lessons. What is planning for learning? Planning for learning as formative practice Decision-driven data-collection Examples of collecting evidence Planning your decisions Planning starting points for teaching Misconceptions as a starting point Finding misconceptions for planning...
Free
Apache Hive Interview Question and Answer (100+ FAQ)
by Bigdata Engineer- 3
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1.5 hours on-demand video
Apache Hive Interview Questions has a collection of 100+ questions with answers asked in the interview for freshers and experienced (Programming, Scenario-Based, Fundamentals, Performance Tuning based Question and Answer). Hive SQL Language Manual: Commands, CLIs, Data Types,DDL (create/drop/alter/truncate/show/describe), Statistics (analyze), Indexes, Archiving,DML (load/insert/update/delete/merge, import/export, explain plan),Queries (select), Operators and UDFs, Locks, Authorization...
$12.99
Introducing Text Analytics and Natural Language Processing with Python
by Jonathan Dunn , Tom Coupe , Jeanette King , Girish Prayag- 0.0
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6 Weeks
But we introduce these techniques from data science alongside the cognitive science that makes them possible. These pipelines are automated workflows that go all the way from data collection to visualization. unstructured data...
$249
Introduction to Meteor.js Development
by Dr Matthew Yee-King- 4.6
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Approx. 26 hours to complete
You will carry out key database operations such as inserting, removing and updating data as well as sorting and filtering. js templates that can reactively display data Write MongoDB data filters to search for and sort data Sending data to templates with helpers Sending data to templates with helpers Meteor distributed data model...
Evaluation of Digital Health Interventions
by Lisa Danquah , Céire Costelloe- 0.0
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Approx. 32 hours to complete
This module focuses on key data considerations for digital health including data management, data visualisation and methods for evaluating digital health interventions. Data and Digital Health - Why is it important? Types of data in Digital Health Data Requirements and Considerations for Digital Health Data Management (Video) Visualising big data to tackle antimicrobial resistance...
Building a High-Performance Corporate Culture
by Mark N. Clemente- 3.7
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42 mins on-demand video
"Organizational Archaeology" for Business and HR Leaders A combination eLearning micro-course and accompanying business eBook. This insightful, practical course is designed for HR leaders and other executives who are tasked with building a high-performance culture for competitive advantage. The course is based on the instructor’s proprietary, research-based methodology―Organizational Archaeology™― which is designed to help optimize corporate culture....
$9.99
Practical Guide to Google Analytics Mastery
by Nikhil Parachure- 3.7
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3.5 hours on-demand video
- Google Analytics Data Collection...
$11.99
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Android Architecture Components - View Model
by Brandon Gogetap- 4.1
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1 hour on-demand video
These are a collection of libraries that, among other things, help developers manage data without having to worry so much about Activity or Fragment lifecycles. You're going to learn how to use the ViewModel to encapsulate long-running operations (network calls using Retrofit), retain data across configuration changes, and pass data between screens....
$13.99
Structural equation modeling (SEM) with lavaan
by Geoffrey Hubona, Ph.D.- 4.2
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11.5 hours on-demand video
Learn how to specify, estimate and interpret SEM models with no-cost professional R software used by experts worldwide. This "hands-on" course teaches one how to use the R software lavaan package to specify, estimate the parameters of, and interpret covariance-based structural equation (SEM) models that use latent variables....
$12.99
Simulation, Algorithm Analysis, and Pointers
by Dr. Tim "Dr. T" Chamillard- 4.5
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Approx. 11 hours to complete
Prerequisite computational thinking knowledge: Algorithms and procedures; data collection, analysis, and representation; abstraction; and problem decomposition Prerequisite C knowledge: Data types, variables, constants; STEM computations; selection; iteration (looping); arrays; strings; and functions...
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