When will I have access to the lectures and assignments?

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

What will I get if I purchase the Certificate?

When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

CompTIA Data+

位教师：InfoSec Institute Instructor

包含在中

了解更多

5个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

8 小时完成

灵活的计划

自行安排学习进度

5个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

8 小时完成

灵活的计划

自行安排学习进度

您将获得的技能

您将学习的工具

Dashboard

要了解的详细信息

可分享的证书

添加到您的领英档案

作业

1 项作业

授课语言：英语（English）

了解顶级公司的员工如何掌握热门技能

了解关于 Coursera for Business 的更多信息

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

该课程共有5个模块

Today's data plays a large part in our daily lives and in business decisions. It is the basis for up and coming business technologies such as AI, machine learning, and big data. This course will assist you in learning more about the Data+ certification offered by CompTIA, which shows competency for professionals who need to make data-driven business decisions. It will guide you through the five main objectives on the exam: data concepts and environments, data mining, data analysis, data visualization, and governance, quality and controls. After finishing the course, you will be able to define important data-related terms, demonstrate proficiency in using data mining and analysis to make important business decisions, and communicate and report insights gained from data analytics.

单元详情

In this module, we'll introduce you to data concepts and environments. We'll discuss topics such as data sources, types of data structures, and different types of data stores.

涵盖的内容

10个视频

10个视频总计82分钟

Introduction to data concepts7分钟
Understanding data types and structures7分钟
Exploring relational databases10分钟
Exploring non-relational databases8分钟
Structured, semi structured and unstructured data8分钟
Data warehousing and data lakes11分钟
Understanding OLTP8分钟
Understanding OLAP9分钟
Snowflake and star schemas explained8分钟
The role of slowly changing dimensions in data7分钟

This module will define basic characteristics of data mining. It will cover terms and definitions of ETL, ELT, DDL, and DML and will also discuss such topics as performance and query optimization.

涵盖的内容

9个视频

This module will discuss such topics as data visualizations, data analytics and regression analysis. These topics can be used in conjunction with AI and machine learning technologies.

涵盖的内容

7个视频

This module will cover data visualizations and data integration for business analysis and final reports. Additional topics such as real time data analysis will be covered, as well as databoard deployments and various data sources.

涵盖的内容

7个视频

This module will discuss the importance of data governance and data security. It will address the need to protect data and the various methods of data protection, covering topics such as data classification and PI compliance.