Search result for Examples of data manipulation Online Courses & Certifications
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Regression Models
by Brian Caffo, PhD , Roger D. Peng, PhD , Jeff Leek, PhD- 4.4
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Approx. 54 hours to complete
Linear models, as their name implies, relates an outcome to a set of predictors of interest using linear assumptions. Regression models, a subset of linear models, are the most important statistical analysis tool in a data scientist’s toolkit. Introductory Data Example Book: Regression Models for Data Science in R Data Science Specialization Community Site...
2021 Data Science & Machine Learning with R from A-Z Course
by Juan E. Galvan- 4.5
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22 hours on-demand video
Adding R coding language skills to your resume will help you in any one of these data specializations requiring mastery of statistical techniques. 3: DATA MANIPULATION IN R This section gives you a full introduction to the Data Manipulation in R with hands-on step by step training. Learn data cleaning, processing, wrangling and manipulation...
$12.99
Security Awareness Training
by (ISC)² Education & Training- 4.6
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Approx. 2 hours to complete
The security of an organization is of the utmost importance and every member of the organization's staff plays a vital role in defending against cyber threats. One of the best ways to protect the organization is to institute a company-wide security-awareness training initiative. Importance of Security Importance of Security Data and Account Security...
The Social and Technical Context of Health Informatics
by Harold P. Lehmann, MD, Ph.D.- 4.2
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Approx. 9 hours to complete
Improving health and healthcare institutions requires understanding of data and creation of interventions at the many levels at which health IT interact and affect the institution. Data scientists find that, when they aim at implementing their models in practice, it is the “socio” components that are both novel to them and mission critical to success. Many Types of Clinical Data...
Design and Implementation of Digital Health Interventions
by Lisa Danquah , Céire Costelloe- 0.0
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Approx. 31 hours to complete
These session cover areas to include data regulations, examples of data breaches in digital health, the challenges and opportunities of technology adoption and implementation with a focus on the non-adoption, abandonment, scale-up, spread and sustainability framework (NASSS Framework). Value of data in Digital Health Breaching of Data Regulations Value of health data reflections...
Foundations of strategic business analytics
by Nicolas Glady- 4.4
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Approx. 8 hours to complete
We'll also present you with different data analytics tools to be applied to different types of issues. Prerequisites : 1/ Be able to use R or to program 2/ To know the fundamentals of databases, data analysis (regression, classification, clustering) It is all about value not data How to leverage data for value - from data to insight...
Data Manipulation in Excel: save up to 90% of Your Time!
by Igor Ovchinnikov- 0.0
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2.5 hours on-demand video
Just like thousands of my students before, you may wonder if its a good idea for you to take this course? In this course, I’ll reveal to you the hottest tips and short cuts that I discovered over the years that helped me significantly improve my skills and save insane amounts of time when working with data in Excel....
$12.99
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Healthcare Data Quality and Governance
by Doug Berman- 4.5
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Approx. 12 hours to complete
High-quality data is one of the most valuable assets gathered and used by any business. Why Data Quality Matters Why Data is Collected and Defining Quality Components of Data Quality Methods and dimensions of electronic health record data quality assessment: enabling reuse for clinical research Establishing the Culture of Quality throughout the Data Lifecycle...
Data Modeling and Regression Analysis in Business
by Sridhar Seshadri- 4.4
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Approx. 25 hours to complete
The first set of tools will explore data description, statistical inference, and regression. Lecture 1-1: Introduction to Analytics and Evolution of Statistical Inference Lecture 1-2: From Data to Decisions Lecture 1-3: The Evolution of Intelligent Machines Lecture 1-5-1: Examples of Paradigms – Part 1 Lecture 1-5-2: Examples of Paradigms – Part 2...
AI Product Manager
by Alyssa Simpson-Rochwerger , Meeta Dash , Kiran Vajapey , Kirsten Gokay , Andrea Butkovic- 0.0
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2 Months
Along the way, you’ll review case studies and examples to help you focus on how to define metrics to measure the business value for a proposed product. Learn how to evaluate the business value of an AI product. Build fluency with AI concepts, create a data set, measure the effectiveness of different Machine Learning models, and craft a product proposal....
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