{"id":4573,"date":"2015-11-19T09:35:14","date_gmt":"2015-11-19T17:35:14","guid":{"rendered":"http:\/\/3.209.169.194\/blogs\/paul\/?p=4573"},"modified":"2015-11-19T09:35:14","modified_gmt":"2015-11-19T17:35:14","slug":"expanded-iepds-class-on-practical-data-science-in-chicago-may-2016","status":"publish","type":"post","link":"https:\/\/www.sqlskills.com\/blogs\/paul\/expanded-iepds-class-on-practical-data-science-in-chicago-may-2016\/","title":{"rendered":"Expanded IEPDS class on Practical Data Science in Chicago, May 2016"},"content":{"rendered":"

After the success of our brand-new class on Practical Data Science this week, we’ve decided to expand it to five days and bring it back to Chicago again next year.<\/p>\n

The course is our\u00a0Immersion Event on Practical Data Science using Azure Machine Learning, SQL Data Mining, and R, presented by our great friend Rafal Lukawiecki<\/a>.<\/p>\n

Rafal\u2019s course will be five\u00a0days long, with the following modules:<\/p>\n

    \n
  1. Overview of Practical Data Science for Business<\/li>\n
  2. Data<\/li>\n
  3. Process<\/li>\n
  4. Algorithm Overview<\/li>\n
  5. Tools and Getting Started<\/li>\n
  6. Segmentation<\/li>\n
  7. Classification<\/li>\n
  8. Basic Statistics<\/li>\n
  9. Model Validation<\/li>\n
  10. Classifier Precision<\/li>\n
  11. Regressions<\/li>\n
  12. Similarity Matching and Recommenders<\/li>\n
  13. Other Algorithms (Brief Overview)<\/li>\n
  14. Production and Model Maintenance<\/li>\n<\/ol>\n

    You can read through the detailed\u00a0curriculum here<\/a>.<\/p>\n

    The class will be in Chicago, at our usual location, from May 9-13, 2016 \u2013 all the details are here<\/a>.<\/p>\n

    Cool stuff \u2013 hope to see you there!<\/p>\n","protected":false},"excerpt":{"rendered":"

    After the success of our brand-new class on Practical Data Science this week, we’ve decided to expand it to five days and bring it back to Chicago again next year. The course is our\u00a0Immersion Event on Practical Data Science using Azure Machine Learning, SQL Data Mining, and R, presented by our great friend Rafal Lukawiecki. […]<\/p>\n","protected":false},"author":5,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[24],"tags":[],"class_list":["post-4573","post","type-post","status-publish","format-standard","hentry","category-classes"],"yoast_head":"\nExpanded IEPDS class on Practical Data Science in Chicago, May 2016 - Paul S. Randal<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.sqlskills.com\/blogs\/paul\/expanded-iepds-class-on-practical-data-science-in-chicago-may-2016\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Expanded IEPDS class on Practical Data Science in Chicago, May 2016 - Paul S. Randal\" \/>\n<meta property=\"og:description\" content=\"After the success of our brand-new class on Practical Data Science this week, we’ve decided to expand it to five days and bring it back to Chicago again next year. The course is our\u00a0Immersion Event on Practical Data Science using Azure Machine Learning, SQL Data Mining, and R, presented by our great friend Rafal Lukawiecki. 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