Search result for Practical applications of data tools Online Courses & Certifications
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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
Before you can work with data you have to get some. 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. Components of Tidy Data Managing Data Frames with dplyr - Basic Tools...
Introduction to Data Analytics
by Rav Ahuja- 4.8
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Approx. 11 hours to complete
This course presents a gentle introduction into the concepts of data analysis, the role of a Data Analyst, and the tools that are used to perform daily functions. You will gain an understanding of the data ecosystem and the fundamentals of data analysis, such as data gathering or data mining. Viewpoints: Applications of Data Analytics...
Boosting Productivity through the Tech Stack
by Trailhead , Paige Caldwell , Jolyn Cafferata , Luis Cazares , Richard Yang , Allie Kaiser , Eric Bryan , Loren Crundwell- 0.0
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Approx. 29 hours to complete
Practical Guide: Get the Most out of Your Day Introduction to Data Enrichment Tools Practice Quiz - Understanding the Basic Principles of Data Enrichment Tools Practice Quiz - Basic Principles of Social Selling Tools Understand the basic principles of customer relation management (CRM) tools and how to use them effectively as part of your workflow...
Clinical Data Models and Data Quality Assessments
by Laura K. Wiley, PhD , Michael G. Kahn, MD, PhD- 4.2
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Approx. 17 hours to complete
This course aims to teach the concepts of clinical data models and common data models. A Quick Tour of a Common Data Model: i2b2 A Quick Tour of a Common Data Model: OMOP A Quick Tour of a Common Data Model: Sentinel A Quick Tour of a Common Data Model: PCORNet...
Predictive Modeling and Transforming Clinical Practice
by Laura K. Wiley, PhD- 0.0
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Approx. 11 hours to complete
This course teaches you the fundamentals of transforming clinical practice using predictive models. This course examines specific challenges and methods of clinical implementation, that clinical data scientists must be aware of when developing their predictive models. Accessing Course Data and Technology Platform Qualitative Methods: Data Collection Qualitative Methods: Data Analysis Methods of Changing Clinical Practice...
Intro to Analytic Thinking, Data Science, and Data Mining
by Dursun Delen , Julie Pai- 4
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Approx. 7 hours to complete
A brief overview of Descriptive, Predictive, and Prescriptive Analytics will be provided, and we will conclude the course with an exploratory activity to learn more about the tools and resources you might find in a data science toolkit. Data Mining and an Overview of Data Analytics Data Mining and an Overview of Data Analytics...
Data Streaming
by Ben Goldberg , Judit Lantos , David Drummond , Jillian Kim- 0.0
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2 Months
As businesses increasingly rely on applications that produce and process data in real-time, data streaming is an increasingly in-demand skill for data engineers. The Data Streaming Nanodegree program will prepare you for the cutting edge of data engineering as more and more companies look to derive live insights from data at scale....
$399
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Advanced Clinical Data Science
by Michael G. Kahn, MD, PhD , Laura K. Wiley, PhD- 0.0
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Approx. 4 hours to complete
This course prepares you to deal with advanced clinical data science topics and techniques including temporal and research quality analysis. Introduction: Advanced Clinical Data Science Impact of Workflow on Data Quality Keep Calm and Data Science On Tools and Techniques: Missing Data Types of Missing Data Practical Application: Careers in Clinical Data Science...
R Programming
by Roger D. Peng, PhD , Jeff Leek, PhD , Brian Caffo, PhD- 4.5
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Approx. 57 hours to complete
The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. Overview and History of R Course Supplement: The Art of Data Science Make use of R loop functions and debugging tools...
Spatial Data Science and Applications
by Joon Heo- 4.4
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Approx. 12 hours to complete
Based on such business trend, this course is designed to present a firm understanding of spatial data science to the learners, who would have a basic knowledge of data science and data analysis, and eventually to make their expertise differentiated from other nominal data scientists and data analysts. Practical Applications of Spatial Data Science Practical Application of Spatial Data Science...
