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Learn Data Collection, earn certificates with paid and free online courses from Stanford, MIT, University of Pennsylvania, University of Michigan and other top universities around the world. Read reviews to decide if a class is right for you.
Learn to obtain, clean, and organize data from various sources, including web APIs and databases. Develop skills in data tidying, processing, and sharing for efficient analysis.
Explore key areas of customer analytics: descriptive, predictive, and prescriptive. Learn to collect data, interpret patterns, make predictions, and optimize decisions for effective data-driven marketing strategies.
Master data fundamentals, Excel, SQL, and Tableau to make data-driven decisions. Learn to collect, analyze, and visualize data, model business scenarios, and effectively communicate findings across industries.
Learn to collect, process, and visualize global wildfire data using NASA sources, data engineering techniques, and tools like Kepler.gl, mapboxgl, and Streamlit for insightful analysis and presentation.
Explore alternative data collection methods to improve quality and mitigate cascading effects of errors in various business scenarios.
Explore data collection using Graphical Analysis and Vernier Sensor cart with fan. Learn collection options, demonstration techniques, and analyze collisions in physics experiments.
Discover best practices for ethical usage data collection in open source projects, covering community engagement, privacy, compliance, and governance principles.
Discover how OSGi technology and realtime Java VM create robust IoT data collection systems for vehicles, featuring proven architecture insights from 10+ million car implementations.
Learn to leverage crowdsourcing for high-quality data collection in AI, covering quality control, factors affecting data quality, and strategies for efficient data creation and model evaluation.
Learn to fetch and process complex nested data from Internet services using Python, including list comprehensions, requests module, and REST APIs. Build a Flickr tag recommender.
Comprehensive review of scientific inquiry, data analysis, lab procedures, and fundamental concepts in chemistry and physics for GACE Science Test I preparation.
Enhance teaching skills through instructional coaching techniques, covering learning theories, communication strategies, motivation, data collection, feedback, and professional growth.
Explore big data analytics in social media to extract valuable insights, enhance content strategy, and prevent crises using cutting-edge tools from industry experts.
En este curso, aprenderás los conceptos generales de la ciencia de datos utilizando el lenguaje de programación Python. Serás capaz de recolectar contenido en la web, limpiar los datos y prepararlos para su visualización y gestión.
Learn the basic & advanced techniques of developing & deploying mobile survey data collection forms with Kobo Toolbox
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