Overview of the Case Study Scenario and University Student Data
What to Expect from Case Studies and Review Sessions
The Case Studies in the SAS Academy for Data Science are different from the exercises in the courses.
- The case studies are selected because they do not have a clean solution.
- The data sets are messy (and real!), and the business problem is framed by a domain expert who knows very little about data management, analytics, or programming.
- This enables you to experience true client interactions, where you, the data scientist, are the technical expert and the client lacks the vocabulary to guide you to appropriate analyses.
If you find the case studies frustrating to work on, take heart in knowing that you are doing realistic data science work. Use the case study review sessions to observe the thought process of an experienced analyst.
In data science, solving problems often requires taking a novel approach, making assumptions, engineering new inputs, or combining analyses in unconventional ways.
- It is rare that one solution is uniformly correct!
- It is rare that a problem has a clean solution.
Seeing the approaches of different analysts helps you find new ways to solve problems in the future.
Course Curriculum
| 0.Module 1 Overview of the Case Study Scenario and University Student Data | |||
| 0.Module 1 Overview of the Case Study Scenario and University Student Data | 00:00:00 | ||
| 1.1 Module 1 Case Study Introduction | |||
| 1.1 Module 1 Case Study Introduction | 00:00:00 | ||
| 1.2 Module 1 Case Study Exploring the Data | |||
| 1.2 Module 1 Case Study Exploring the Data | 00:00:00 | ||
| 1.3 Module 1 Assignment | |||
| 1.3 Module 1 Assignment | 00:00:00 | ||
| 1. Module 1 Introductory Case Study Overview PDF | |||
| 1. Module 1 Introductory Case Study Overview PDF | 00:00:00 | ||
| 2.1Module 1 Case Study and Review_SAS Visual Analytics Explorer | |||
| 2.1 Module 1 Case Study and Review_SAS Visual Analytics Explorer | 00:00:00 | ||
| 2.2 Module 1 Case Study Solution SAS Visual Analytics Explorer | |||
| 2.2 Module 1 Case Study Solution SAS Visual Analytics Explorer | 00:00:00 | ||
| 3.1 Module 1 Case Study and Review_SAS Statistics I | |||
| 3.1 Module 1 Case Study and Review_SAS Statistics I | 00:00:00 | ||
| 3.2 Module 1 Case Study Solution SAS Statistics 1 | |||
| 3.2 Module 1 Case Study Solution: SAS Statistics 1 | 00:00:00 | ||
| 4.1 Module 1 Case Study and Review_Preparing Data for Analysis and Reporting | |||
| 4.1 Module 1 Case Study and Review_Preparing Data for Analysis and Reporting | 00:00:00 | ||
| 4.2 Module 1 Case Study Solution Preparing Data for Analysis and Reporting Introduction | |||
| 4.2 Module 1 Case Study Solution Preparing Data for Analysis and Reporting Introduction | 00:00:00 | ||
| 4.3 Module 1 Preview the Data | |||
| 4.3 Module 1 Preview the Data | 00:00:00 | ||
| 4.4 Module 1 Profile the Data and Review the Results, Part 1 | |||
| 4.4 Module 1 Profile the Data and Review the Results, Part 1 | 00:00:00 | ||
| 4.5 Module 1Visualize the Data, Part 1 | |||
| 4.5 Module 1Visualize the Data, Part 1 | 00:00:00 | ||
| 4.6 Module 1 Profile the Data and Review the Results, Part 2 | |||
| 4.6 Module 1 Profile the Data and Review the Results, Part 2 | 00:00:00 | ||
| 4.7 Module 1 Profile the Data and Review the Results, Part 3 | |||
| 4.7 Module 1 Profile the Data and Review the Results, Part 3 | 00:00:00 | ||
| 4.8 Module 1 Visualize the Data, Part 2 | |||
| 4.8 Module 1 Visualize the Data, Part 2 | 00:00:00 | ||
| 4.9 Module 1 Create Standardization Schemes | |||
| 4.9 Module 1 Create Standardization Schemes | 00:00:00 | ||
| 4.10 Module 1 Create a Job to Apply Standardization Schemes | |||
| 4.10 Module 1 Create a Job to Apply Standardization Schemes | 00:00:00 | ||
| 4.11 Module 1 Create a Job to De-Duplicate Student Data | |||
| 4.11 Module 1 Create a Job to De-Duplicate Student Data | 00:00:00 | ||
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