What will you in the Data Science Capstone Course
Build a complete data science project from start to finish using real-world data.
Apply skills in natural language processing (NLP), predictive modeling, and exploratory data analysis.
Create a user-facing data product using data science tools and best practices.
Communicate results clearly through a final presentation deck and interactive application.
Practice working independently and submitting peer-reviewed assignments in a capstone environment.
Program Overview
1. Getting Started & Understanding the Project
Duration: 1 hour
Introduction to the capstone and its objectives.
Review of SwiftKey dataset and project milestones.
2. Data Exploration and Cleaning
Duration: 3–4 hours
Clean and preprocess text data from blogs, news, and tweets.
Analyze data distribution, frequency, and language patterns.
3. Model Building and Prediction
Duration: 3–4 hours
Use NLP techniques like tokenization and n-grams.
Build predictive models for next-word suggestions.
4. Developing a Data Product
Duration: 3 hours
Create an interactive application using Shiny or other web tools.
Focus on usability, responsiveness, and prediction accuracy.
5. Communicating Your Results
Duration: 2 hours
Design a professional slide deck summarizing your project.
Emphasize methodology, findings, and user functionality.
6. Final Submission & Peer Review
Duration: 1–2 hours
Submit your app and presentation.
Evaluate peer submissions and receive feedback.
Get certificate
Job Outlook
Data Scientists: Build a robust portfolio project showcasing NLP and modeling skills.
AI/NLP Engineers: Apply advanced text analysis and prediction techniques in real contexts.
Business Analysts: Demonstrate the ability to translate data into user-ready solutions.
Freelancers & Tech Professionals: Use this capstone to pitch data apps to clients or employers.
Students: Complete your data science learning path with practical application.
Explore More Learning Paths
Bring your data science knowledge full circle with these carefully curated courses designed to help you apply skills to real-world projects and develop practical expertise.
Related Courses
What Is Data Science Course – Gain a comprehensive overview of data science concepts, workflows, and applications.
Foundations of Data Science Course – Build a strong foundation in data science principles and methodologies for practical application.
Tools for Data Science Course – Learn to use essential data science tools effectively for analysis, visualization, and problem-solving.
Related Reading
What Is Data Management? – Understand how organized data management supports successful end-to-end data science projects.
Specification: Data Science Capstone Course
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