Data Science Methodologies: Making Business Sense
Course Overview
Data science has evolved from small-scale experiments to large-scale applications that drive business decisions. In this course, Neelam Dwivedi takes you through the entire process of applying data science methodologies to business problems, from developing and deploying a machine learning model to integrating it within a business web application.
The course dives deep into the architecture of data science projects and covers the full life cycle of a model, ensuring you understand how to take a model from development to production-ready. You'll also learn how to host your model and make it accessible as a service, plan for staging environments, and implement CI/CD pipelines to automate the deployment process. By the end of the course, you'll be able to apply data science techniques in a practical and scalable way to meet business needs.
What You'll Learn
- Understanding of data science methodologies and how they apply to solving business problems.
- Hands-on experience in deploying and consuming machine learning models in web applications.
- Comprehensive knowledge of taking a model from development to staging for a production-ready environment.
- Practical experience with setting up CI/CD pipelines for seamless updates and automation.
- Roadmap creation for the further application of data science methodologies in business.
694 THB
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Skills You'll Gain:
