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Data Science Capstone

Create a practical data product using NLP and machine learning, demonstrating real-world data science skills.

Create a practical data product using NLP and machine learning, demonstrating real-world data science skills.

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Data Science Specialization or Data Science: Statistics and Machine Learning Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

4.5

(1,226 ratings)

36,849 already enrolled

Instructors:

English

پښتو, বাংলা, اردو, 3 more

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Data Science Capstone

This course includes

5 Hours

Of Self-paced video lessons

Advanced Level

Completion Certificate

awarded on course completion

Free

What you'll learn

  • Create a usable public data product

  • Apply exploratory data analysis techniques

  • Build efficient prediction models

  • Develop presentation materials

  • Implement natural language processing

  • Demonstrate end-to-end project execution

Skills you'll gain

Data Science
Machine Learning
R Programming
Natural Language Processing
Predictive Modeling
Data Analysis
Data Visualization
Statistical Analysis
Project Management
Presentation Skills

This course includes:

0.4 Hours PreRecorded video

3 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

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Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

Certificate

Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 7 modules in this course

This capstone project course enables students to create a practical data product that showcases their data science skills to potential employers. Working with real-world problems and industry partners, students develop a complete data science project from problem understanding to final presentation. The curriculum covers data acquisition, exploratory analysis, predictive modeling, and creation of a data product with accompanying presentation materials.

Overview, Understanding the Problem, and Getting the Data

Module 1 · 1 Hours to complete

Exploratory Data Analysis and Modeling

Module 2 · 1 Hours to complete

Prediction Model

Module 3 · 41 Minutes to complete

Creative Exploration

Module 4 · 40 Minutes to complete

Data Product

Module 5 · 11 Minutes to complete

Slide Deck

Module 6 · 10 Minutes to complete

Final Project Submission and Evaluation

Module 7 · 1 Hours to complete

Fee Structure

Instructors

Brian Caffo
Brian Caffo

4.7 rating

20 Reviews

16,23,662 Students

30 Courses

Expert in Biostatistics and Neuroinformatics

Brian Caffo, PhD, is a professor in the Department of Biostatistics at the Johns Hopkins University Bloomberg School of Public Health. He earned his PhD in Statistics from the University of Florida in 2001. Specializing in computational statistics and neuroinformatics, he co-created the SMART working group

Jeff Leek, PhD
Jeff Leek, PhD

4.7 rating

236 Reviews

16,66,593 Students

32 Courses

Chief Data Officer and J Orin Edson Foundation Chair at Fred Hutchinson Cancer Center

Dr. Jeff Leek serves as the Chief Data Officer, Vice President, and J Orin Edson Foundation Chair of Biostatistics in Public Health Sciences at the Fred Hutchinson Cancer Center. Previously, he was a professor of Biostatistics and Oncology at the Johns Hopkins Bloomberg School of Public Health and co-director of the Johns Hopkins Data Science Lab. He earned his PhD in Biostatistics from the University of Washington and is known for his significant contributions to genomic data analysis and statistical methods for personalized medicine. His research has advanced our understanding of molecular mechanisms related to brain development, stem cell self-renewal, and immune responses to trauma, with findings published in top scientific journals such as Nature and Proceedings of the National Academy of Sciences. Dr. Leek developed a highly acclaimed Data Analysis course for Biostatistics students at Johns Hopkins, which has consistently received teaching excellence awards. He is also recognized for his efforts in creating educational initiatives that leverage data science for public health and economic development, including massive open online courses that have engaged millions worldwide.

Data Science Capstone

This course includes

5 Hours

Of Self-paced video lessons

Advanced Level

Completion Certificate

awarded on course completion

Free

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

4.5 course rating

1,226 ratings

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.