UdemyData Science

Data Science Methodology in Action using Dataiku

التصنيف الكامل: Development > Data Science > Data Science

Data Science Methodology in Action using Dataiku

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Embark on a journey into the world of Data Science with our "Data Science in Action using Dataiku" course, designed to harness the power of unstructured data and AI modeling. This course is perfect for those who want a practical, hands-on experience in the field, following a modified CRISP-DM methodology with Dataiku as the primary tool.Course Overview:Categorization of Data Scientists: Learn the distinction between 'clickers' and 'coders' in data science, focusing on the 'clicker' approach using tools like Dataiku.Capstone Project: Apply your learning in a comprehensive capstone project, offering a real-world experience in designing and prototyping a Data Science engagement.Comprehensive Methodology: The course begins with setting up your Dataiku environment and reviewing our unique data science methodology.Seven-Step Data Science Methodology: Dive deep into each step of the process, from describing your use case to continuous model monitoring and evaluation, all within Dataiku. These steps include:Use Case Description: Understand and articulate your selected data science use case.Data Description: Explore data sources and datasets using Dataiku.Dataset Preparation: Get hands-on experience in preparing datasets within Dataiku.Model Development: Apply AI modeling techniques like clustering and regression in Dataiku.Model Evaluation: Learn how to measure and evaluate your AI model results.Model Deployment: Understand the process of deploying your AI models.Model Monitoring: Master continuous monitoring and evaluation of your models in production.This course is tailored for those seeking an introductory 'cli

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