DIY Life Web Search

  1. Ads

    related to: google data analytics certification

Search results

  1. GOOGL - Alphabet Inc.

    Yahoo Finance

    172.51+0.40 (+0.23%)

    at Fri, May 31, 2024, 4:00PM EDT - U.S. markets open in 3 hours 32 minutes

    Pre Mkt 173.24 +0.74 (+0.43%)

    Nasdaq Real Time Price

    • Ask Price 172.77
    • Bid Price 163.27
    • P/E 26.46
    • 52 Wk. High 178.77
    • 52 Wk. Low 115.35
    • Mkt. Cap 2140.07B
  2. Results From The WOW.Com Content Network
  3. Google Analytics - Wikipedia

    en.wikipedia.org/wiki/Google_Analytics

    Google Analytics is a web analytics service offered by Google that tracks and reports website traffic and also mobile app traffic & events, currently as a platform inside the Google Marketing Platform brand. [1] Google launched the service in November 2005 after acquiring Urchin.

  4. Google data centers - Wikipedia

    en.wikipedia.org/wiki/Google_data_centers

    Google data centers are the large data center facilities Google uses to provide their services, which combine large drives, computer nodes organized in aisles of racks, internal and external networking, environmental controls (mainly cooling and humidification control), and operations software (especially as concerns load balancing and fault tolerance ).

  5. Google Cloud Platform - Wikipedia

    en.wikipedia.org/wiki/Google_Cloud_Platform

    Google Cloud Platform ( GCP ), offered by Google, is a suite of cloud computing services that provides a series of modular cloud services including computing, data storage, data analytics, and machine learning, alongside a set of management tools. [2]

  6. Earn a Google Analytics certification for just $10 - AOL

    www.aol.com/news/earn-google-analytics...

    Gain a professional understanding of how to utilize Google Analytics in our data-driven economy, and solidify yourself as your dream company's next hire. ... Udemy Google Analytics Certification ...

  7. Data science - Wikipedia

    en.wikipedia.org/wiki/Data_science

    Data science is an interdisciplinary field [10] focused on extracting knowledge from typically large data sets and applying the knowledge and insights from that data to solve problems in a wide range of application domains. The field encompasses preparing data for analysis, formulating data science problems, analyzing data, developing data ...

  8. Analytics - Wikipedia

    en.wikipedia.org/wiki/Analytics

    Analytics is the systematic computational analysis of data or statistics. [1] It is used for the discovery, interpretation, and communication of meaningful patterns in data. It also entails applying data patterns toward effective decision-making.

  9. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    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. [1] Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science ...

  10. Google Search Console - Wikipedia

    en.wikipedia.org/wiki/Google_Search_Console

    Google Search Console Insights, introduced in 2021, is an analytical feature of Google Search Console. It combines data from Google Search Console and Google Analytics, to provide webmasters and content creators with insights into the performance of their content across Google's services.

  11. Cross-industry standard process for data mining - Wikipedia

    en.wikipedia.org/wiki/Cross-industry_standard...

    The Cross-industry standard process for data mining, known as CRISP-DM, [1] is an open standard process model that describes common approaches used by data mining experts. It is the most widely-used analytics model. [2]

  12. Training, validation, and test data sets - Wikipedia

    en.wikipedia.org/wiki/Training,_validation,_and...

    In particular, three data sets are commonly used in different stages of the creation of the model: training, validation, and test sets. The model is initially fit on a training data set, [3] which is a set of examples used to fit the parameters (e.g. weights of connections between neurons in artificial neural networks) of the model. [4]

  1. Ads

    related to: google data analytics certification