Search result for Examples of data manipulation Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 2,035 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Inclusive Analytic Techniques
by Sarah Kaplan , Brian Silverman , Chanel Grenaway , Karen Sihra, PhD- 4.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 8 hours to complete
Many policies, products, services or processes that we think of as gender-neutral actually have gendered outcomes. Ethical and legal considerations in inclusive data collection First Nations Principles of Ownership, Control, Access, and Possession of Data (OCAP) Learn quantitative & qualitative research and analysis techniques; explore how to integrate insights from both types of data to generate insight....
Design Principles: an Introduction
by Scott Klemmer- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 13 hours to complete
This course will teach you fundamental principles of design and how to effectively evaluate your work with users. You'll learn principles of perception and cognition that inform effective interaction design. A lot of the examples will come from the Web, and we'll talk just a bit about Web technologies in particular. Direct Manipulation and Representations Direct Manipulation...
Healthcare Data Literacy
by Brian Paciotti- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 13 hours to complete
This course will help lay the foundation of your healthcare data journey and provide you with knowledge and skills necessary to work in the healthcare industry as a data scientist. We'll cover different concepts and categories of healthcare data and describe how ontologies and related terms such as taxonomy and terminology organize concepts and facilitate computation....
Geographical Information Systems - Part 1
by Stéphane Joost , Marc Soutter , Fernand Koffi Kouamé , Amadou Sall- 3.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 16 hours to complete
This course is organized into two parts presenting the theoretical and practical foundations of geographic information systems (GIS). - How to use data modeling tools to describe and create a spatial database; - To query and analyze data using SQL, a common data manipulation language. Acquisition of Primary Data Data Definition and Manipulation...
Measuring the Success of a Patient Safety or Quality Improvement Project (Patient Safety VI)
by Matt Austin- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 6 hours to complete
Finally, students will learn how to interpret data from their patient safety and quality projects to guide and modify them during implementation to maximize their chances of making a difference for patients. Use of Quantitative & Qualitative Data in QI Projects Using Data & Measures to Evaluate the Success of an Improvement Project...
Data Science Fundamentals for Data Analysts
by Emma Freeman , Mark Roepke- 0.0
-
![]()
![]()
![]()
![]()
![]()
Approx. 19 hours to complete
In this course we're going to guide you through the fundamental building blocks of data science, one of the fastest-growing fields in the world! With the help of our industry-leading data scientists, we’ve designed this course to build ready-to-apply data science skills in just 15 hours of learning. Examples of Data Science...
Introduction to Machine Learning in Production
by Andrew NgTop Instructor , Cristian Bartolomé ArámburuTop Instructor- 4.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 10 hours to complete
In the first course of Machine Learning Engineering for Production Specialization, you will identify the various components and design an ML production system end-to-end: project scoping, data needs, modeling strategies, and deployment constraints and requirements; and learn how to establish a model baseline, address concept drift, and prototype the process for developing, deploying, and continuously improving a productionized ML application....
Related searches
Information Visualization: Advanced Techniques
by Enrico Bertini , Cristian Felix- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 16 hours to complete
These techniques are organized around data types to cover advance methods for: temporal and spatial data, networks and trees and textual data. Goal: Analyze the design space of visualization solutions for various kinds of data visualization problems. Visualizing Geographical Data Visualizing Network Data Show Different Properties of the Same Data Simultaneously...
Case studies in business analytics with ACCENTURE
by Nicolas Glady- 3.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 8 hours to complete
The cases will be presented by senior practitioners from Accenture with different backgrounds in term of industry, function, and country. Special attention will be paid to the "value case" of the issue raised to prepare you for the capstone project of the specialization. Wrap-up: a conceptual framework of the applications of Big Data Analytics - Nicolas Glady...
Python and Machine-Learning for Asset Management with Alternative Data Sets
by Gideon OZIK , Sean McOwen- 4.4
-
![]()
![]()
![]()
![]()
![]()
Approx. 19 hours to complete
Over-utilization of market and accounting data over the last few decades has led to portfolio crowding, mediocre performance and systemic risks, incentivizing financial institutions which are looking for an edge to quickly adopt alternative data as a substitute to traditional data. Application: Additional applications of consumption data Perform data analysis of real-world alternative datasets using Python....
Previous
