Coursera Courses for duke graduate students: career skills
Unlock new opportunities with the following Coursera specializations and courses, curated exclusively for Duke graduate students seeking to advance both personally and professionally. Developed by Duke instructors, these courses provide practical soft skills and career training—completely free and accessible anytime, anywhere. Earn certificates upon completion that you can proudly showcase on LinkedIn, helping you stand out to employers and build a stronger professional profile. Take advantage of this unique resource to enhance your skills and prepare for success beyond Duke.
How to Enroll
These courses are available to Duke graduate and professional students at no cost as part of the Coursera for Duke initiative. You must have a Duke NetID to enroll. Here is how to create your Coursera for Duke account and enroll in a specialization or course:
1. Access Coursera via the Coursera for Duke portal.
2. On the right hand side of the page click “Log In” if you’ve previously created an account or click “Join” if this is your first time accessing Coursera for Duke.
3. You will get prompted to “Log in with Duke University”.
4. Click on “Log in with NetID”.
5. Log in with your Duke NetID and password.
6. You will be prompted to log into your Coursera account. If you don’t already have a Coursera account, you will need to create one.
7. Once you have access to the Coursera for Duke Courses, you can search for the specific course you want to take.
8. Once you select that course, you can click enroll and you will be able to start the course at your convenience.
Data & Computing
Data Analysis with R
Specialization
Courses: 3 Course Series
Time Required: 4 months (10 hrs/wk)
Skill(s) Gained: Probability Distribution, Sampling, R Programming, Statistical Hypothesis Testing, Data Analysis Software, Data Visualization, Exploratory Data Analysis, Statistics, Probability
Level: Beginner
Data Science with R
Specialization
Courses: 3 Course Series
Time Required: 8 weeks (3 hrs/wk)
Skill(s) Gained: R Programming & Tidyverse, Data Wrangling & Transformation, Data Visualization (Ggplot2, Visualization Tools), Data Import/Export & Web Scraping, Data Cleaning & Quality Assurance, Exploratory & Statistical Analysis, Version Control (e.g., Git), Data Ethics & Integrity
Level: Beginner
Practical Python: Start Your Programming Journey
Single Course
Time Required: 4 weeks (10 hrs/wk)
Skill(s) Gained: Game Design, Algorithms, Computer Programming, Pseudocode, Program Development, Interactive Design, Debugging, Python Programming
Level: Beginner
Explainable AI (XAI)
Specialization
Courses: 3 Course Series
Time Required: 4 weeks (10 hrs/wk)
Skill(s) Gained: Artificial Intelligence & Machine Learning, Predictive Modeling & Analytics, Applied Machine Learning Methods, Data Visualization & Exploratory Analysis
Level: Intermediate
Health Sciences
Time Required: 1 week (10 hrs/wk)
Skill(s) Gained: Emotional Intelligence, Mental Health & Wellness, Personal Growth, Crisis & Support Strategies
Level: Beginner
Space Medicine
Single Course
Time Required: 1 week (10 hrs/wk)
Skill(s) Gained: Critical Thinking, Biomedical & Health Engineering, Medical Science & Technology, Human Biology & Physiology, Patient Safety & Preventative Care, Quality Standards & Regulation, Human Factors in Health Care
Level: Beginner
Telehealth Clinicial Essentials
Single Course
Time Required: 3 hours
Skill(s) Gained: Telehealth & Virtual Care, Patient Communication & Education, Clinical & Health Assessment, Patient Evaluation & Preparation, Telecommunications in Healthcare
Level: Beginner
Telehealth: Interprofessional Team-Based Care
Single Course
Time Required: 2 hours
Skill(s) Gained: Patient-Centered Care & Communication, Care Coordination & Treatment Planning, Health Systems & Technology, Teamwork & Interprofessional Collaboration, Primary Care & Patient Flow Management
Level: Beginner
Business & Leadership
Agile Approaches for Modern Leadership
Specialization
Courses: 3 Course Series
Time Required: 1 month (2 hrs/wk)
Skill(s) Gained: Project Management, Organizational & Business Leadership, Motivation, Change & Culture Management, Strategic Thinking & Decision-Making, Innovation & Cognitive Flexibility
Level: Intermediate
Financial Management
Specialization
Courses: 7 Course Series
Time Required: 8 weeks (5 hrs/wk)
Skill(s) Gained: Financial Analysis & Reporting, Capital Budgeting & ROI, Risk Management, Cash & Resource Management, Strategic & Financial Decision-Making, Stakeholder Communication & Proposal Development, Operational Efficiency & Accounts Receivable
Level: Beginner
To add your certificates to LinkedIn:
- In Coursera, go to your Accomplishments and find the certificate you want to share.
- Click the “Add to LinkedIn” button.
- Sign in to LinkedIn (if required).
- Follow the steps on-screen to add the certificate to your LinkedIn profile.
- When someone clicks on the certificate from your LinkedIn profile, they’ll be shown the full certificate details.
