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10 Best + Free Duke Courses with Certificates

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Duke University is home to around 13,000 bright and curious students from various academic backgrounds, both at the undergraduate and graduate levels. Alongside these exceptional students, there is a remarkable faculty that is dedicated to pushing the boundaries of knowledge in their respective fields. What sets Duke apart is its deep-rooted belief in using this knowledge to make a positive impact on society, not only in the vicinity of its North Carolina campus but also on a global scale. Below you can find list of Best + Free Duke Courses with Certificates that cover different subject areas.

# Course Name Ratings Duration
1. Introduction to Logic and Critical Thinking Specialization ★★★★★ 4.6 04 Months
2. Introduction to Machine Learning ★★★★★ 4.7 21 Hours
3. Excel to MySQL: Analytic Techniques for Business Specialization ★★★★★ 4.6 07 Months
4. Renewable Energy and Green Building Entrepreneurship ★★★★★ 4.7 17 Hours
5. AI Product Management Specialization ★★★★☆ 4.7 04 Months
6. MLOps | Machine Learning Operations Specialization ★★★★★ 4.3 06 Months
7. Data Science Math skills ★★★★☆ 4.5 13 Hours
8. Building Cloud Computing Solutions at Scale Specialization ★★★★☆ 4.4 04 Months
9. Entrepreneurial Finance: Strategy and Innovation Specialization ★★★★★ 4.5 04 Months
10. Data Analysis with R Specialization ★★★★★ 4.7 05 Months
In order to help our readers in taking a knowledgeable learning decision, TakeThisCourse.net has introduced a metric to measure the effectiveness of an online course. Learn more about how we measure an online course effectiveness.

Best Duke Courses with Certificates

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Introduction to Logic and Critical Thinking Specialization

      • Duke University via Coursera
      • 31,921+ already enrolled!
      • ★★★★★ (496 Ratings)

Introduction to Logic and Critical Thinking Specialization

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Excellent
★★★★★
Excellent
★★★★★
Good
★★★★☆
Fair
★★★☆☆

This specialization will help you understand and appreciate arguments that are presented by you and other people.

  • The reason why we chose this specialization is its focus on explaining how to determine whether an argument is deductively valid. You will be taught how to recognize fallacies in detail.
  • This specialization is for those who wish to analyze and assess the five common forms of inductive arguments.
This specialization is great to understand what logic and critical thinking is. All the courses are very engaging and interesting to learn from. Critical thinking can be difficult to understand but these courses can help learners develop a good understanding of it. (Anonymous Learner, ★★★★★)

Coursera Plus Courses

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Introduction to Machine Learning

      • Duke University via Coursera
      • 181,444+ already enrolled!
      • ★★★★★ (3,294 Ratings)

Introduction to Machine Learning

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Excellent
★★★★★
Excellent
★★★★★
Good
★★★★☆
Good
★★★★☆

In this highly engaging and informative course, the instructor will help you develop a foundational understanding of machine learning models. This includes logistic regression, convolutional neural networks, natural language processing, and more.

  • The reason why we chose this course is its focus on providing practice exercises that will give learners hands-on experience implementing the data science models on data sets.
  • This course is for those who wish to understand how to implement machine learning algorithms with PyTorch and open source libraries.
This is a very concise and beautifully constructed course that offers a detailed introduction to machine learning. The course is even suitable for beginners who have basic knowledge of probability and mathematics. (Abhinav T, ★★★★★)

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Excel to MySQL: Analytic Techniques for Business Specialization

  • Duke University via Coursera
  • 209,683+ already enrolled!
  • ★★★★★ (11,143 Ratings)

Excel to MySQL: Analytic Techniques for Business Specialization

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Excellent
★★★★★
Excellent
★★★★★
Good
★★★★☆
Fair
★★★☆☆

In this specialization, you will be taught how to formulate data questions, inform strategic decisions, and explore and visualize large datasets.

  • The best thing about this specialization is its focus on explaining how to use powerful tools and methods like Excel, Tableau, and MySQL for analyzing data and creating forecasts and models.
  • This specialization is for those who wish to understand how to design visualizations and apply skills to explore and justify improvements to a real-world business process.
This specialization offers different courses that teach all about Excel, Tableau and MySQL. Whatever the course you take would teach you business metrics, data analysis, data visualization, and so much more. (Anonymous Learner, ★★★★★)

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Renewable Energy and Green Building Entrepreneurship

      • Duke University via Coursera
      • 75,771+ already enrolled!
      • ★★★★★ (2,562 Ratings)

Renewable Energy and Green Building Entrepreneurship

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Excellent
★★★★★
Excellent
★★★★★
Good
★★★★☆
Good
★★★★☆

In this course, the instructor will define the key business opportunities, challenges, and potential solutions in the renewable energy and green building sectors.

  • The reason why we chose this course is its focus on explaining how to analyze a successful business in renewable energy or green building.
  • This course is for those who wish to understand how to take real world steps towards launching a new business or corporate initiative.
This course offers a phenomenal learning experience as the content is great and highly engaging. In other words, this course helped me understand all the problems that I need to solve. (Neev D, ★★★★★)

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AI Product Management Specialization

      • Duke University via Coursera
      • 13,051+ already enrolled!
      • ★★★★★ (199 Ratings)

AI Product Management Specialization

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Excellent
★★★★★
Excellent
★★★★★
Good
★★★★☆
Good
★★★★☆

This specialization is all about explaining how to identify when and how machine learning can be applied for solving problems.

  • The reason why we chose this specialization is its focus on explaining how to apply human-centered design practices for designing AI product experiences that can then protect privacy. You will learn to identify and mitigate privacy and ethical risks in AI projects.
  • This specialization is for those who wish to understand how to lead machine learning projects using the data science process and best practices from industry.
All three courses in this specialization have great ratings and teach you what artificial intelligence is. The aim of these courses is to help you understand all about AI along with the concept of Machine Learning. (Anonymous Learner, ★★★★★).

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MLOps | Machine Learning Operations Specialization

      • Duke University via Coursera
      • 1,968+ already enrolled!
      • ★★★★★ (19 Ratings)

MLOps | Machine Learning Operations Specialization

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Excellent
★★★★★
Good
★★★★☆
Fair
★★★☆☆
Fair
★★★☆☆

Do you want to level up your programming skills and become a machine learning engineer? If yes, then this specialization is for you.

  • The best thing about this specialization is its focus on explaining how to utilize Amazon Sagemaker/AWS, Azure, MLflow, and Hugging Face for end-to-end ML solutions, pipeline creation, and API development.
  • This specialization is for those who wish to understand how to design a full MLOPs pipeline with MLflow, and learn to manage projects and track system features.
This is a very interesting specialization that explains so much about how one can improve their programming skills. The different courses offer great content on DevOps , MLOPs, and DataOps. I can recommend this specialization to those who wish to understand what DevOps, and other terms are.

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Data Science Math skills

      • Duke University via Coursera
      • 375,784+ already enrolled!
      • ★★★★★ (11,187 Ratings)

Data Science Math Skills

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Excellent
★★★★★
Excellent
★★★★★
Good
★★★★☆
Fair
★★★☆☆

In this “Data Science Math Skills” course, you will understand all about Venn diagrams, interval notation, and algebra with inequalities.

  • The best thing about this course is its focus on explaining the concept of instantaneous rate of change and tangent lines to a curve.
  • This course is for those who wish to understand all about exponents, logarithms, and natural log function, and more.
This is a neat little course that helps learner revise the math fundamentals. The probability part was a little tricky to understand but I managed to clear that part somehow. Overall the course is great and helped me a lot in understanding the Bayes Theorem and other concepts. (Priyanka S, ★★★★★)

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Building Cloud Computing Solutions at Scale Specialization

      • Duke University via Coursera
      • 10,112+ already enrolled!
      • ★★★★★ (226 Ratings)

Building Cloud Computing Solutions at Scale Specialization

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Excellent
★★★★★
Excellent
★★★★★
Fair
★★★☆☆
Fair
★★★☆☆

Are you interested in launching your career in cloud computing and need guidance? If yes, then this specialization is for you. Here, you will master different strategies and tools to become proficient in developing data science and machine learning solutions in the cloud.

  • The best thing about this specialization is its focus on explaining how to build websites that involve serverless technology and virtual machines using the best practices of DevOps.
  • This specialization is for those who wish to understand how to apply machine learning engineering to build a flask web application that serves out machine learning predictions.
A great specialization that offers courses covering different topics like cloud computing, APIs, containers, cloud virtualization, cloud machine learning, and so much more. All the courses are very engaging and well-organized. (Anonymous Learner, ★★★★★)

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Entrepreneurial Finance: Strategy and Innovation Specialization

      • Duke University via Coursera
      • 24,173+ already enrolled!
      • ★★★★★ (872 Ratings)

Entrepreneurial Finance: Strategy and Innovation Specialization

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Excellent
★★★★★
Excellent
★★★★★
Fair
★★★☆☆
Fair
★★★☆☆

This specialization is all about explaining how to evaluate the entrepreneurial ventures using Excel. You will be taught how to use R programming for calculating the return of a stock portfolio.

  • The reason why we chose this specialization is its focus on explaining how to build capitalization tables in Excel. You will explore the different financing strategies for your startup company.
  • This specialization is for those who wish to identify opportunities to use blockchain for disrupting and innovating business models.
This is one of the best specializations to offer courses regarding how to manage a startup in the best possible manner. The courses contain content that explains all about entrepreneurial finance in sequence. Overall the courses are great to learn from. (Anonymous Learner, ★★★★★)

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Data Analysis with R Specialization

  • Duke University via Coursera
  • 18,474 + already enrolled!
  • ★★★★★ (5,704 Ratings)

Data Analysis with R Specialization

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Excellent
★★★★★
Excellent
★★★★★
Good
★★★★☆
Good
★★★★☆

In this specialization, you will master data analysis with R Programming. The aim of this specialization is to shed light on the statistical mastery of data analysis including basic data visualization, statistical testing and inference and linear modeling.

  • The reason why we chose this specialization is its focus on explaining how to perform hypothesis tests and interpret statistical results.
  • This specialization is for those who wish to understand how to install and use R and RStudio and utilize regression models to examine relationships between multiple variables.
This specialization will help you understand what probability, inferential statistics, and linear regression is. I was able to learn all about data analysis in detail. The instructor did a great job explaining all the concepts. This specialization is a great source to understand all about analyzing and visualizing data in R. (Anonymous Learner, ★★★★★)

Programming Courses
100+ Courses
★★★★★

Cybersecurity courses
30+ Courses
★★★★★

Business Courses
70+ Courses
★★★★☆

Blockchain Courses
20+ Courses
★★★★★

Data Science Courses
150+ Courses
★★★★★

Mobile App Development Courses
50+ Courses
★★★★★