Data Science Methodology in Action using Dataiku

via Udemy

Go to Course: https://www.udemy.com/course/data-science-methodology-in-action-using-dataiku/

Introduction

Certainly! Here's a well-rounded review and recommendation for the "Data Science in Action using Dataiku" course on Coursera: --- **Course Review & Recommendation: "Data Science in Action using Dataiku"** If you're looking to dive into the practical world of data science with a focus on unstructured data and AI modeling, the "Data Science in Action using Dataiku" course on Coursera is an excellent starting point. Designed with a hands-on approach, this course emphasizes real-world applications using the Dataiku platform, making complex concepts accessible even for beginners. **What You’ll Learn:** This course introduces you to a modified CRISP-DM methodology tailored to Dataiku, guiding you through each stage of a data science project—from understanding your use case to deploying and monitoring models. The seven-step process provides a comprehensive framework: - **Use Case Description** - **Data Description** - **Dataset Preparation** - **Model Development** - **Model Evaluation** - **Model Deployment** - **Model Monitoring** Throughout, you'll gain practical experience by setting up your Dataiku environment, working with datasets, and creating models such as clustering and regression. The inclusion of a capstone project allows learners to consolidate their skills by applying their knowledge to a real-world scenario. **Strengths:** - **Hands-On Learning:** The course’s emphasis on practical exercises, dataset downloads, and step-by-step instructions ensures an engaging and effective learning process. - **Comprehensive Methodology:** The tailored CRISP-DM approach demystifies the data science pipeline, giving learners a structured pathway to follow. - **Accessible for Beginners:** While it’s ideal for those seeking an 'clicker' style entry, it also offers valuable insights for business analysts, project managers, or anyone interested in data-driven decision-making. - **Focus on Unstructured Data & AI Models:** It offers specialized knowledge in handling unstructured data, a key challenge in the field, along with AI modeling techniques. **Areas to Consider:** - Since the course is geared towards beginners and those interested in a 'clicker' approach, learners seeking deep coding skills or advanced machine learning techniques may find it somewhat introductory. - Familiarity with basic data concepts can enhance understanding, but extensive prior knowledge isn't required. **Final Recommendation:** I highly recommend this course for anyone new to data science who prefers a practical and visual approach to learning. It’s particularly suitable for professionals in business analysis, project management, or those curious about data-driven applications without the need for extensive coding. By the end of the course, you'll not only understand fundamental data science steps but also gain the confidence to manipulate data and deploy models in real settings. Embark on this journey and transform your data skills in an interactive, applied manner with Dataiku at the center of your learning experience. --- Would you like me to help with a shorter summary or a marketing blurb?