Finalize a Data Science Project
- Offered byCoursera
Finalize a Data Science Project at Coursera Overview
Duration | 12 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
Finalize a Data Science Project at Coursera Highlights
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 5 of 5 in the CertNexus Certified Data Science Practitioner
- Intermediate Level Understand the data science workflow, experience with programming languages (Python), communication skills and 2 years business experience.
- Approx. 12 hours to complete
- English Subtitles: English
Finalize a Data Science Project at Coursera Course details
- This course is designed for business professionals that want to learn how to gather results from previous stages of the data science project and present them to stakeholders. Learners will communicate the results of a model to stakeholders, be shown how to build a basic web app to demonstrate machine learning models and implement and test pipelines that automate the model training, tuning and deployment processes.
- The typical student in this course will have completed previous courses in the CDSP professional certificate program, and have several years of experience with computing technology, including some aptitude in computer programming.
Finalize a Data Science Project at Coursera Curriculum
Communicate Results to Stakeholders
Course Intro: Finalize a Data Science Project
Audience and Insights
Factors That Drive Outcomes
Present Model Results
Visuals and Dashboards
Cumulative Gains Charts and Lift Charts
Overview
Guidelines for Communicating Results to Stakeholders
Communicating Results to Stakeholders
Demonstrate Models in a Web App
Web App
HTML, CSS, and JavaScript
Web Frameworks
Flask and Django
Demonstrating Models in a Web App (Part 1 of 3)
Demonstrating Models in a Web App (Part 2 of 3)
Demonstrating Models in a Web App (Part 3 of 3)
Overview
Guidelines for Demonstrating Models in a Web App
Demonstrating Models in a Web App
Implement and Test Production Pipelines
Put a Model into Production
Data Pipelines
Model Drift
Docker and Kubernetes
Amazon SageMaker and Azure Machine Learning
Monitor Models in Production
Overview
Guidelines for Implementing and Testing Production Pipelines
Implementing and Testing Production Pipelines
Apply What You've Learned
Finalize a Data Science Project at Coursera Admission Process
Important Dates
Other courses offered by Coursera
Student Forum
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