Search result for Data collection and cleaning Online Courses & Certifications
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Process Data from Dirty to Clean
by Google Career CertificatesTop Instructor- 4.8
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Approx. 22 hours to complete
You’ll learn how to check and clean your data using spreadsheets and SQL as well as how to verify and report your data cleaning results. - Apply basic SQL functions for cleaning and transforming data. - Explore the elements and importance of data cleaning reports. Cleaning and your data expectations Joseph: Black and African American inclusion in the data industry...
Algorithms, Data Collection, and Starting to Code
by Dr. Tim "Dr. T" Chamillard- 4.6
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Approx. 15 hours to complete
In this course, we’ll explore algorithms and data collection. Module 3: Explore how we use data collection to solve problems and answer questions Data Types, Variables, and Constants Data Types, Variables, and Constants Data Types, Variables, and Constants Lecture Code Data Collection and More Algorithms Data Collection Problems Data Collection Activity...
AI Workflow: Business Priorities and Data Ingestion
by Mark J Grover , Ray Lopez, Ph.D.- 4.3
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Approx. 8 hours to complete
Explain where data science and data engineering have the most overlap in the AI workflow This course targets existing data science practitioners that have expertise building machine learning models, who want to deepen their skills on building and deploying AI in large enterprises. Data Collection Data Collection Overview Data Collection Objectives...
Effective Communication in the Globalised Workplace - The Capstone
by Lee Kooi Cheng , Wu Siew Mei- 4.6
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Approx. 5 hours to complete
In particular, you will be given a choice of a few projects based on scenarios and case studies drawn from different workplaces. Capstone: Data Collection 1 Data Collection Part 1 Data Collection Part 2 Data Collection Part 3 Data Collection Part 4 Capstone: Data Collection 2 Data Collection - Email Request Part 1 Data Collection - Email Request Part 2...
Advanced Manufacturing Process Analysis
by Rahul Rai- 4.6
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Approx. 13 hours to complete
Gain insights into the best ways to collect, prepare and analyze data, as well as computational platforms that can be leveraged to collect and process data over sustained periods of time. Data Collection in Different Manufacturing Settings Resources: Data Analysis: Value and Process Resources: Manufacturing Settings and Data Collection Data Collection...
Citizen Science Projects: How to Make a Difference
by Mel Woods , Gerid Hager , Margaret Gold , Uta Wehn- 0.0
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Discover how to build your own citizen science project to address global challenges and create positive change. Deciding what data to collect Developing protocols for data collection Training for data collection Capturing or generating the data Analysing and visualising your observations and results Collecting quality observations and data from your environment...
Free
Data Science Methodology
by Alex Aklson , Polong Lin- 4.6
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Approx. 8 hours to complete
This course has one purpose, and that is to share a methodology that can be used within data science, to ensure that the data used in problem solving is relevant and properly manipulated to address the question at hand. From Problem to Approach and From Requirements to Collection Data Requirements Data Collection...
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Intro to Machine Learning with TensorFlow
by Cezanne Camacho , Mat Leonard , Luis Serrano , Dan Romuald Mbanga , Jennifer Staab , Sean Carrell , Josh Bernhard , Jay Alammar , Andrew Paster , Juan Delgado , Michael Virgo- 0.0
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3 months
This program is designed to teach you foundational machine learning skills that data scientists and machine learning engineers use day-to-day. Build a solid foundation in Supervised, Unsupervised, and Deep Learning. Learn foundational machine learning algorithms, starting with data cleaning and supervised models. Learn foundational machine learning techniques -- from data manipulation to unsupervised and supervised algorithms in TensorFlow and scikit-learn....
Intro to Machine Learning with PyTorch
by Cezanne Camacho , Mat Leonard , Luis Serrano , Dan Romuald Mbanga , Jennifer Staab , Sean Carrell , Josh Bernhard , Jay Alammar , Andrew Paster- 0.0
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3 months
This program is designed to teach you foundational machine learning skills that data scientists and machine learning engineers use day-to-day. Build a solid foundation in Supervised, Unsupervised, and Deep Learning. Learn foundational machine learning algorithms, starting with data cleaning and supervised models. Learn foundational machine learning techniques - from data manipulation to unsupervised and supervised algorithms in PyTorch and scikit-learn....
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
The course will cover obtaining data from the web, from APIs, from databases and from colleagues in various formats. It will also cover the basics of data cleaning and how to make data “tidy”. The course will also cover the components of a complete data set including raw data, processing instructions, codebooks, and processed data....
