{"id":78220,"date":"2025-05-22T19:38:22","date_gmt":"2025-05-22T19:38:22","guid":{"rendered":"http:\/\/bangla.sitestree.com\/?p=78220"},"modified":"2025-06-08T21:34:01","modified_gmt":"2025-06-08T21:34:01","slug":"data-analytics-project-problem-framing-and-project-lifecycle","status":"publish","type":"post","link":"http:\/\/bangla.sitestree.com\/?p=78220","title":{"rendered":"Data Analytics Project: Problem Framing and Project Lifecycle"},"content":{"rendered":"\n

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REF: Internet and<\/p>\n\n\n\n

Gregory S. Nelson. The Analytics Lifecycle Toolkit: A Practical Guide fo<\/strong> an Effective  Analytics Capability, <\/strong> John Wiley & Sons \u00a9 2018 . Chapter 6 – Problem Framing<\/p>\n\n\n\n

Data Analytics, Machine Learning<\/p>\n\n\n\n

Data Analytics, Machine Learning, Data Science<\/p>\n","protected":false},"excerpt":{"rendered":"

REF: Internet and Gregory S. Nelson. The Analytics Lifecycle Toolkit: A Practical Guide fo an Effective  Analytics Capability,  John Wiley & Sons \u00a9 2018 . Chapter 6 – Problem Framing Data Analytics, Machine Learning Data Analytics, Machine Learning, Data Science<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[1974,1],"tags":[],"class_list":["post-78220","post","type-post","status-publish","format-standard","hentry","category-analytics-and-machine-learning-project-development","category-root","item-wrap"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":78226,"url":"http:\/\/bangla.sitestree.com\/?p=78226","url_meta":{"origin":78220,"position":0},"title":"Factors\/Variables to Consider For Experimental Design for Data Analytics Projects","author":"Sayed","date":"May 22, 2025","format":false,"excerpt":"Design of experiments fishbone REF: [1]. Gregory S. Nelson. The Analytics Lifecycle Toolkit: A Practical Guide for an Effective\u00a0 Analytics Capability, \u00a0John Wiley & Sons \u00a9 2018 . Chapter 6 - Problem Framing Data Analytics, Machine Learning Data Analytics, Machine Learning, Data Science","rel":"","context":"In "Analytics and Machine Learning Project Development"","block_context":{"text":"Analytics and Machine Learning Project Development","link":"http:\/\/bangla.sitestree.com\/?cat=1974"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/bangla.sitestree.com\/wp-content\/uploads\/2025\/05\/image-27.png?resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/bangla.sitestree.com\/wp-content\/uploads\/2025\/05\/image-27.png?resize=350%2C200 1x, https:\/\/i0.wp.com\/bangla.sitestree.com\/wp-content\/uploads\/2025\/05\/image-27.png?resize=525%2C300 1.5x, https:\/\/i0.wp.com\/bangla.sitestree.com\/wp-content\/uploads\/2025\/05\/image-27.png?resize=700%2C400 2x"},"classes":[]},{"id":78171,"url":"http:\/\/bangla.sitestree.com\/?p=78171","url_meta":{"origin":78220,"position":1},"title":"Data Analytics Concepts and Methods","author":"Sayed","date":"May 17, 2025","format":false,"excerpt":"What is Analysis? [1] \u2022 \u201cA comprehensive, data-driven strategy for problem solving\u201d Analytics \u2022 \u201cAnalytics uses logic,\u00a0inductive and deductive reasoning,\u00a0critical thinking, and quantitative methods along with data to examine phenomena and determine its essential features\u201d \u2022 \"any solution that supports the identification of meaningful patterns and relationships among data.\" CONCEPTS\u2026","rel":"","context":"In "Analytics and Machine Learning Project Development"","block_context":{"text":"Analytics and Machine Learning Project Development","link":"http:\/\/bangla.sitestree.com\/?cat=1974"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/bangla.sitestree.com\/wp-content\/uploads\/2025\/05\/image-8.png?resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/bangla.sitestree.com\/wp-content\/uploads\/2025\/05\/image-8.png?resize=350%2C200 1x, https:\/\/i0.wp.com\/bangla.sitestree.com\/wp-content\/uploads\/2025\/05\/image-8.png?resize=525%2C300 1.5x, https:\/\/i0.wp.com\/bangla.sitestree.com\/wp-content\/uploads\/2025\/05\/image-8.png?resize=700%2C400 2x, https:\/\/i0.wp.com\/bangla.sitestree.com\/wp-content\/uploads\/2025\/05\/image-8.png?resize=1050%2C600 3x, https:\/\/i0.wp.com\/bangla.sitestree.com\/wp-content\/uploads\/2025\/05\/image-8.png?resize=1400%2C800 4x"},"classes":[]},{"id":78231,"url":"http:\/\/bangla.sitestree.com\/?p=78231","url_meta":{"origin":78220,"position":2},"title":"Make Sense of your Data: For Data Analytics Project","author":"Sayed","date":"May 22, 2025","format":false,"excerpt":"Hypothesis-based versus data-driven analysis \u201cOnly those data analysts who are given time to explore and analyze data thoughtfully and thoroughly are consistently successful.\u201d Data Identification and Prioritization Use Augmented data besides Data Pipeline Analytics Sandbox Characterizing the Data\u2014Exploring a Single Variable Data: Descriptive analysis options Find: Distribution of quantitative variables\u2026","rel":"","context":"In "Analytics and Machine Learning Project Development"","block_context":{"text":"Analytics and Machine Learning Project Development","link":"http:\/\/bangla.sitestree.com\/?cat=1974"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/bangla.sitestree.com\/wp-content\/uploads\/2025\/05\/image-36.png?resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/bangla.sitestree.com\/wp-content\/uploads\/2025\/05\/image-36.png?resize=350%2C200 1x, https:\/\/i0.wp.com\/bangla.sitestree.com\/wp-content\/uploads\/2025\/05\/image-36.png?resize=525%2C300 1.5x, https:\/\/i0.wp.com\/bangla.sitestree.com\/wp-content\/uploads\/2025\/05\/image-36.png?resize=700%2C400 2x"},"classes":[]},{"id":78198,"url":"http:\/\/bangla.sitestree.com\/?p=78198","url_meta":{"origin":78220,"position":3},"title":"Evaluating Your Data Analytics Project Outcome","author":"Sayed","date":"May 21, 2025","format":false,"excerpt":"Regression Projects \u2022 R Square, Goodness of fit \u2022 RMSE Classification Projects \u2022 Confusion Matrix \u2022 ROC \u2022 Accuracy, Recall, Precision RL \u2013 Reinforcement \u2022 Reward - 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