Course Decode 记录了 0 月访问量,月度环比增长为 0%,定价为免费。Dot 记录了 13,295 月访问量,增长率为 -13.1%,定价为免费增值。
Course Decode is a free web tool that searches large samples of public LinkedIn profiles to show what graduates of a given degree actually do for work. Search a degree, or a degree at a specific college, and it returns a relevance score for how closely alumni careers match their field of study, along with the job types they moved into. It is designed to counter optimistic university marketing by grounding career decisions in observed outcomes.
| 维度 / 指标 | ![]() | |
|---|---|---|
| 官方域名 | coursedecode.com | getdot.ai |
| 定价模式 | 免费 | 免费增值 |
| 月访问量 | 0 (0) | 1.33万 (13,295) |
| 月度环比流量变化 | 0 (0%) | -1996 (-13.1%) |
| 主要市场与份额 | 🌐 全球 (—) | 🇺🇸 美国 (50.6%) |
| 直接访问 / 月 | 0 | 5403 |
| 用户评分 | 4.3 | 4.3 |
| 支持的平台 | 网站 | 网站 |
Course Decode is a free web tool that searches large samples of public LinkedIn profiles to show what graduates of a given degree actually do for work. Search a degree, or a degree at a specific college, and it returns a relevance score for how closely alumni careers match their field of study, along with the job types they moved into. It is designed to counter optimistic university marketing by grounding career decisions in observed outcomes.
Enter any bachelor's degree and instantly see the range of occupations its graduates actually hold, based on 349,996 analysed LinkedIn profiles.
Narrow the analysis to a specific university to see whether outcomes differ between institutions for the same subject.
Every career receives a 0–100 score built from a duration-weighted average of how relevant each job was to the person's degree.
Job classifications are generated by an AI model that labels each role as directly relevant, somewhat related or unrelated to the degree.

驻留在 Slack、Teams 与邮件中的 AI 数据分析师
团队成员在自己常用的工具中提问,即可获得包含数字、图表与来源的答案。
Dot 会拆解指标变化的原因,将波动归因到具体的渠道、分群或因素。
设置定时报告和基于阈值的提醒,仅在指标跨越你关注的水平时触发。
用指令、示例和业务规则训练 Dot,使指标遵循你所在组织的定义。

Semantic Scholar is a free, non-commercial academic search engine built by the Allen Institute for AI (Ai2). It indexes more than 240 million papers from every field of science and uses machine learning to extract meaning from abstracts, citations, figures and tables, so researchers find relevant work faster than with keyword-only search.
Semantic Scholar is a free, non-commercial academic search engine built by the Allen Institute for AI (Ai2). It indexes more than 240 million papers from every field of science and uses machine learning to extract meaning from abstracts, citations, figures and tables, so researchers find relevant work faster than with keyword-only search.
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全球进出口数据、提单记录与贸易分析一站式平台
全团队都能信任的 AI 原生商业智能平台

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用自然语言提问,自动生成图表、仪表盘与规整表格的 AI 数据分析师