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# CS61A.org User-agent: * Disallow: /hw/solutions/ |
Title | data-8.github.io |
Description | data-8.github.io Data 8: The Foundations of Data Science The UC Berkeley Foundations of Data Science course combines three perspectives: inferential think |
Keywords | N/A |
WebSite | data8.org |
Host IP | 192.30.252.153 |
Location | United States |
Site | Rank |
US$58,556,074
Last updated: 2022-06-19 10:54:30
data8.org has Semrush global rank of 180,755. data8.org has an estimated worth of US$ 58,556,074, based on its estimated Ads revenue. data8.org receives approximately 6,756,470 unique visitors each day. Its web server is located in United States, with IP address 192.30.252.153. According to SiteAdvisor, data8.org is safe to visit. |
Purchase/Sale Value | US$58,556,074 |
Daily Ads Revenue | US$54,052 |
Monthly Ads Revenue | US$1,621,553 |
Yearly Ads Revenue | US$19,458,634 |
Daily Unique Visitors | 450,432 |
Note: All traffic and earnings values are estimates. |
Host | Type | TTL | Data |
data8.org. | A | 1799 | IP: 192.30.252.153 |
data8.org. | NS | 1800 | NS Record: dns2.registrar-servers.com. |
data8.org. | NS | 1800 | NS Record: dns1.registrar-servers.com. |
data8.org. | MX | 1800 | MX Record: 15 eforward4.registrar-servers.com. |
data8.org. | MX | 1800 | MX Record: 10 eforward1.registrar-servers.com. |
data8.org. | MX | 1800 | MX Record: 10 eforward2.registrar-servers.com. |
data8.org. | MX | 1800 | MX Record: 10 eforward3.registrar-servers.com. |
data8.org. | MX | 1800 | MX Record: 20 eforward5.registrar-servers.com. |
data8.org. | TXT | 1799 | TXT Record: google-site-verification=Emt5kREf3-qnQuJpQtUm8jlsqqZa0_39mYx-SDtgQSE |
data8.org. | TXT | 1800 | TXT Record: v=spf1 include:spf.efwd.registrar-servers.com ~all |
data-8.github.io Data 8: The Foundations of Data Science The UC Berkeley Foundations of Data Science course combines three perspectives: inferential thinking, computational thinking, and real-world relevance. Given data arising from some real-world phenomenon, how does one analyze that data so as to understand that phenomenon? The course teaches critical concepts and skills in computer programming and statistical inference, in conjunction with hands-on analysis of real-world datasets, including economic data, document collections, geographical data, and social networks. It delves into social issues surrounding data analysis such as privacy and design. The course is offered in partnership with the Berkeley Division of Data Sciences . Offerings Each offering site includes links to assignments, slides, and readings. You are welcome to use any of the materials you find. Spring 2022 Fall 2021 Summer 2021 Spring 2021 Fall 2020 Summer 2020 Spring 2020 Fall 2019 Summer 2019 Spring 2019 Fall |
HTTP/1.1 200 OK Server: GitHub.com Date: Fri, 22 Oct 2021 22:27:34 GMT Content-Type: text/html; charset=utf-8 Content-Length: 8178 Vary: Accept-Encoding Last-Modified: Fri, 22 Oct 2021 18:40:19 GMT Vary: Accept-Encoding Access-Control-Allow-Origin: * ETag: "61730593-1ff2" expires: Fri, 22 Oct 2021 22:37:34 GMT Cache-Control: max-age=600 Accept-Ranges: bytes x-proxy-cache: MISS X-GitHub-Request-Id: C7A2:3B67:2AA077:CD695B:61733AD6 |
WHOIS LIMIT EXCEEDED - SEE WWW.PIR.ORG/WHOIS FOR DETAILS |