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Nom de domaine - data-analyst.fr

Titre du site - Titre du site indisponible

Aller sur le site Web - lien bloqué

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adresse IP:

217.160.0.3

Serveurs de noms de domaine:

ns1078.ui-dns.biz ns1033.ui-dns.com ns1077.ui-dns.org ns1111.ui-dns.de

Tous les enregistrements:

☆ data-analyst.fr. 3600 IN A 217.160.0.3
☆ data-analyst.fr. 3600 IN AAAA 2001:8d8:100f:f000::234
☆ data-analyst.fr. 3600 IN MX 10 mx00.ionos.fr.
☆ data-analyst.fr. 3600 IN MX 10 mx01.ionos.fr.
☆ data-analyst.fr. 21600 IN NS ns1033.ui-dns.com.
☆ data-analyst.fr. 21600 IN NS ns1078.ui-dns.biz.
☆ data-analyst.fr. 21600 IN NS ns1111.ui-dns.de.
☆ data-analyst.fr. 21600 IN NS ns1077.ui-dns.org.
☆ data-analyst.fr. 3600 IN TXT "v=spf1 include:_spf-eu.ionos.com ~all"
☆ data-analyst.fr. 21600 IN SOA ns1077.ui-dns.org. hostmaster.1und1.com. 2017060113 28800 7200 604800 600

%% This is the AFNIC Whois server.
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%% complete date format: YYYY-MM-DDThh:mm:ssZ
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%% See https://www.afnic.fr/en/domain-names-and-support/everything-there-is-to-know-about-domain-names/find-a-domain-name-or-a-holder-using-whois/
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domain: data-analyst.fr
status: ACTIVE
eppstatus: active
hold: NO
holder-c: ANO00-FRNIC
admin-c: ANO00-FRNIC
tech-c: UIS153-FRNIC
registrar: IONOS SE
Expiry Date: 2024-12-29T15:00:17Z
created: 2018-12-29T15:00:17Z
last-update: 2024-01-31T23:09:14.404015Z
source: FRNIC

nserver: ns1033.ui-dns.com
nserver: ns1077.ui-dns.org
nserver: ns1078.ui-dns.biz
nserver: ns1111.ui-dns.de
source: FRNIC

registrar: IONOS SE
address: Ernst-Frey Strasse 9
address: 76135 KARLSRUHE
country: DE
phone: +49.7219137450
fax-no: +49.72191374215
e-mail: hostmaster@1und1.de
website: https://ionos.com
anonymous: No
registered: 2001-01-15T00:00:00Z
source: FRNIC

nic-hdl: UIS153-FRNIC
type: ORGANIZATION
contact: 1&1 Internet SARL
address: 1&1 Internet SARL
address: 7, place de la Gare
address: 57200 Sarreguemines
country: FR
phone: +33.970808911
fax-no: +33.387959974
e-mail: hostmaster@1and1.fr
registrar: IONOS SE
changed: 2024-07-05T15:17:34.122173Z
anonymous: NO
obsoleted: NO
eppstatus: associated
eppstatus: active
eligstatus: not identified
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source: FRNIC

nic-hdl: ANO00-FRNIC
type: PERSON
contact: Ano Nymous
registrar: IONOS SE
anonymous: YES
remarks: -------------- WARNING --------------
remarks: While the registrar knows him/her,
remarks: this person chose to restrict access
remarks: to his/her personal data. So PLEASE,
remarks: don't send emails to Ano Nymous. This
remarks: address is bogus and there is no hope
remarks: of a reply.
remarks: -------------- WARNING --------------
obsoleted: NO
eppstatus: associated
eppstatus: active
eligstatus: not identified
reachstatus: not identified
source: FRNIC

nic-hdl: ANO00-FRNIC
type: PERSON
contact: Ano Nymous
registrar: IONOS SE
anonymous: YES
remarks: -------------- WARNING --------------
remarks: While the registrar knows him/her,
remarks: this person chose to restrict access
remarks: to his/her personal data. So PLEASE,
remarks: don't send emails to Ano Nymous. This
remarks: address is bogus and there is no hope
remarks: of a reply.
remarks: -------------- WARNING --------------
obsoleted: NO
eppstatus: associated
eppstatus: active
eligstatus: not identified
reachstatus: not identified
source: FRNIC

>>> Last update of WHOIS database: 2024-07-05T15:58:44.713765Z <<<

Brief facts about data analyst:

Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively. Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. In statistical applications, data analysis can be divided into descriptive statistics, exploratory data analysis, and confirmatory data analysis.

Actuarial science - Actuarial science is the discipline that applies mathematical and statistical methods to assess risk in insurance, pension, finance, investment and other industries and professions. More generally, actuaries apply rigorous mathematics to model matters of uncertainty and life expectancy.

Analytics - Analytics is the systematic computational analysis of data or statistics. It is used for the discovery, interpretation, and communication of meaningful patterns in data. It also entails applying data patterns toward effective decision-making.

Augmented Analytics - Augmented Analytics is an approach of data analytics that employs the use of machine learning and natural language processing to automate analysis processes normally done by a specialist or data scientist.

Big data - Big data primarily refers to data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many entries offer greater statistical power, while data with higher complexity may lead to a higher false discovery rate.

Business intelligence - Business intelligence consists of strategies and technologies used by enterprises for the data analysis and management of business information.

Censoring (statistics) - In statistics, censoring is a condition in which the value of a measurement or observation is only partially known. For example, suppose a study is conducted to measure the impact of a drug on mortality rate. In such a study, it may be known that an individual's age at death is at least 75 years.

Data processing

Big data

Computational fields of study

Scientific method

Data management