What is the translation of " 理解数据 " in English?

• understand data
• understanding data
• understands data
• understanding of data

Examples of using 理解数据 in Chinese and their translations into English

目的是消除访问或理解数据的任何障碍。
The goal is to remove any barriers to access or understand data.

数据分析师获取、组装并帮助其他人解释和理解数据。
Data analysts obtain, assemble and help others interpret and understand data.

理解数据是控制任何企业的先决条件。
Understanding data is a prerequisite to gaining control of any enterprise.

摘要：理解数据是控制任何企业的先决条件。
Understanding data is a prerequisite to gaining control of any enterprise.

英国五月表示她希望Facebook老板理解数据泄露问题.
May says she hopes Facebook boss understands data leak concerns.

导读：理解数据是控制任何企业的先决条件。
Understanding data is a prerequisite to gaining control of any enterprise.

上一篇：英国五月表示她希望Facebook老板理解数据泄露问题.
May says she hopes Facebook boss understands data leak concerns.

英国五月表示她希望Facebook老板理解数据泄露问题.
UK's May says she hopes Facebook boss understands data leak concerns.

也是一个理解数据的好工具。
But a useful tool to understand the data.

管理者需要能够独立接触和理解数据。
Managers need to be able to access and understand the data themselves.

步骤2：理解数据.
Stage 2: Understanding the data.

混淆的目的是使人类难以理解数据。
The purpose of obfuscation is to make it difficult for humans to understand the data.

但他们也是非常聪明的人，习惯于理解数据。
But they're also highly intelligent people and used to understanding data.

这种灵活性可让您以全新的方式理解数据。
This flexibility allows you to understand data in an entirely new way.

Tableau帮助人们查看和理解数据，Salesforce帮助人们吸引和了解客户，”Salesforce联合首席执行官MarcBenioff说。
Tableau helps people see and understand data, and Salesforce helps people engage and understand customers," Salesforce co-CEO Marc Benioff said.

Tableau帮助人们查看和理解数据，Salesforce帮助人们吸引和了解客户，”Salesforce联合首席执行官MarcBenioff说。
Tableau helps people see and understand data, and Salesforce helps people engage and understand customers,” said Salesforce co-Chief Executive Marc Benioff in announcing the deal.

Fluentd是一个开源数据收集器，通过它能对数据进行统一收集和消费，能够更好地使用和理解数据。
Fluentd is an open source data collector, which lets you unify the data collection and consumption for a better use and understanding of data.

本课程将教你使用数据可视化来探索和理解数据，然后以一种强有力和有意义的方式交流结果。
This course will teach you to use data visualization to explore and understand data, and then communicate insights in a powerful and meaningful ways.

掌握新技术、理解数据并批判性地思考数据-这些是在实验室和会议室中取得成功的能力。
Embracing new technology, understanding data and thinking critically about that data- these are abilities that drive success in both the lab and the boardroom.

Fluentd允许您统一数据收集和使用，以便更好地使用和理解数据。
Fluentd allows you to unify data collection and consumption for a better use and understanding of data.

为了能交换和理解数据，数据结构定义给出了相关的维数，以及每个维数可能具有的值。
In order to be able to exchange and understand data, a Data Structure Definition tells us about the relevant dimensions and what the possible values for each dimension are.

这便是机器学习的基础：计算机去理解数据，并使用这些数据来做出决策。
This is the basis of machine learning: computers understanding data, and then using it to make decisions.

定量：测试考生解决问题和理解数据的能力的问题(62分钟内回答31个问题)。
Quantitative: Questions testing the candidate's ability to solve problems and understand data(31 questions in 62 minutes).

本课将介绍可视化、概率、回归和其他内容，帮助你学习用统计学来理解数据的基本方法。
This course introduces visualization, probability, regression and other topics that will help you learn the basic methods of understanding data with statistics.

定量分析：测试候选人解决问题和理解数据的能力（75分钟，37个问题）。
Quantitative: One's ability to to solve problems and understand data is tested(37 questions in 75 minutes).

Seaborn的目标是使可视化成为探索和理解数据的核心部分。
Seaborn aims to make visualization a central part of exploring and understanding data.

Tableau帮助人们查看和理解数据，Salesforce帮助人们吸引和了解客户，”Salesforce联合首席执行官MarcBenioff说。
Tableau helps people see and understand data, and Salesforce helps people engage and understand customers", said Marc Benioff, Chairman and co-CEO, Salesforce.

然而，分析师有多少时间是花在找数据和理解数据的活动中的?
So, how much time is actually spent by analysts on these activities of finding and understanding data?

它要求员工能够理解数据、跨虚拟和物理交互点为客户服务，并跟上快速变化的软件语言。
It requires workers who can understand data, serve customers across virtual and physical interaction points, and keep up with fast-changing software languages.

当今，企业越来越以数据为驱动力，这也导致对处理和理解数据的需求增加。
Businesses today are becoming increasingly data-driven, something that has also led to an increase in the need for handling and understanding data.