Free Coursera courses for Duke researchers

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Duke researchers can expand their knowledge and skills in Data management, data science, healthcare informatics and other topics by taking free, online Coursera courses.  Duke is now granting access to staff, faculty and students - not only to the Duke created courses, but to the entire Coursera catalogue of 3,800 learning opportunities. To take advantage of this opportunity, you must enroll by October 31, 2020 and you will have access to your enrolled courses through December 31, 2020.

 

DATA

Data: Data science Ethics, Data Science, Deep Learning

Big data: Introduction to Big data, Big data Modeling and Management Systems, Big data Integration and processing.

Data Research: Qualitative Research Methods, Data Management for Clinical Research, Research Data Management and sharing, Bayesian Statistics: from concept to Data Analysis.

Data Mining: Text Retrieval and search engines, Text mining and analytics, Cluster analysis in data mining.

Data Management tools: Data Management and Visualization, The data Scientist’s tool box, Getting and cleaning data, Exploring and Preparing your data with BigQuery.

Core Data Science: Data science foundations using R, R Programming, Exploratory Data Analysis, Introduction to Probability and Data with R, Linear Regression and Modeling, Using descriptive statistics to analyze data in R

Core Data Science Python: Introduction to data Science in Python, Python for everybody, Programming for everybody-Getting started with Python, Python Data Structures

Data Visualization Python: Python Data Visualization, Understanding and Visualizing data using Python.

Introduction to Data Visualization: Communicating Business Analytics Result, Introduction to Business Analytics-Communicating with Data, Design and Infographics-Project centered course.

Excel: Excel skills for business-Essentials, Excel skills for business-Intermediate I, Excel skills for business-Intermediate II.

Foundations of Machine Learning: Applied Machine learning in Python, Machine learning foundations-A case study approach, Machine learning- Regression, Introduction to Machine Learning

Health Care Informatics: Multiple Regression Analysis in Public Health, Leading change in Health Informatics, The data Science of Health Informatics, Healthcare Data Literacy

LEADERSHIP

Business Leadership: Leadership and Emotional Intelligence, Inspiring Leadership through Emotional Intelligence, Inspiring and Motivating Individuals, Visionary leadership, identity & motivation: Become a meaning maker

Communication: Advanced writing, English for Effective Business speaking, Introduction to Public speaking

 

Follow the steps below to enroll today

1.       Go to https://www.coursera.org/programs/duke-university-on-coursera-obsio.

2.       Once at the Duke 2020 Access landing page, click the “Join for free” button in the middle of the screen.

3.       Click “Login with Duke University” and log in using your NetID.

4.       You will receive an email to confirm your Coursera membership. Follow the directions in the email and your registration will be complete.

If you have any problems enrolling, email Heather Valli at heather.valli@duke.edu for assistance.