本课程是 Key Technologies in Data Analytics 专项课程专项课程的一部分

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Erik Herman

提供方

Key Technologies in Data Analytics 专项课程LearnQuest

课程信息

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This course is the first of a series that aims to prepare you for a role working in data analytics. In this course, you’ll be introduced to many of the primary types of data analytics and core concepts. You’ll learn about the tools and skills required to conduct data analysis. We’ll go through some of the foundational math and statistics used in data analysis and workflows for conducting efficient and effective data analytics. This course covers a wide variety of topics that are critical for working in data analytics and are designed to give you an introduction and overview as you begin to build relevant knowledge and skills.

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第 1 门课程（共 4 门）

Key Technologies in Data Analytics 专项课程

初级

Basic computer knowledge

完成时间大约为18 小时

英语（English）

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体验 Coursera 企业版

您将学到的内容有

Explain the primary types of data analysis
Define the phases of the data analysis process
Identify tools and skills required to conduct data analysis

您将获得的技能

Data visualization Data exploration
Data queries
Data Collection
Data Analysis
Data Visualization (DataViz)

可灵活调整截止日期

根据您的日程表重置截止日期。

可分享的证书

完成后获得证书

100% 在线

立即开始，按照自己的计划学习。

第 1 门课程（共 4 门）

Key Technologies in Data Analytics 专项课程

初级

Basic computer knowledge

完成时间大约为18 小时

英语（English）

对员工进行热门技能培训能否为您的公司带来益处？

体验 Coursera 企业版

授课教师

授课教师评分

4.5/5 （9 个评分）

Erik Herman

5,075 个学生

10 门课程

提供方

LearnQuest

LearnQuest is the preferred training partner to the world’s leading companies, organizations, and government agencies. Our team boasts 20+ years of experience designing, developing and delivering a full suite industry-leading technology education classes and training solutions across the globe. Our trainers, equipped with expert industry experience and an unparalleled commitment to quality, facilitate classes that are offered in various delivery formats so our clients can obtain the training they need when and where they need it.

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授课大纲 - 您将从这门课程中学到什么

周

周 1

完成时间为 4 小时

Types of Data Analysis

完成时间为 4 小时

14 个视频（总计 33 分钟）, 6 个阅读材料, 6 个测验

14 个视频

Course Introduction and Objectives2分钟

Module Introduction and Objectives1分钟

Introduction to Descriptive Analytics2分钟

Descriptive Analytics in Your Reading54

Introduction to Predictive Analytics4分钟

Predictive Analytics in Your Reading42

Introduction to Diagnostic Analytics4分钟

Diagnostic Analytics in Your Reading1分钟

Introduction to Exploratory Analytics4分钟

Exploratory Analytics in Your Reading1分钟

Introduction to Advanced Data Analytics2分钟

Advanced Data Analytics in Your Reading57

Hands-on Demonstration: Explore the Data!6分钟

Module 1 Summary28

6 个阅读材料

Fundamentals of Descriptive Analytics10分钟

A Predictive Analytics Primer10分钟

Diagnostic Analytics: I'm On the Case!10分钟

What is Exploratory Data Analysis10分钟

What is Advanced Analytics?10分钟

Hands-on Exercise: Explore the Data!10分钟

6 个练习

Descriptive Analytics5分钟

Predictive Analytics5分钟

Diagnostic Analytics5分钟

Exploratory Analytics5分钟

Advanced Data Analytics5分钟

Module 1 Graded Quiz30分钟

周

周 2

完成时间为 6 小时

The Phases of Data Analysis

In the second module of this course, we'll learn about the phases of the data analysis process including identifying data, defining scope, and level of detail. We'll learn about the data collection process, from gathering targeted information to evaluating outcomes. We'll discover the importance of data cleaning and how removing, modifying, and formatting data is a priority, as well as the benefits of visualizing data.

完成时间为 6 小时

15 个视频（总计 38 分钟）, 7 个阅读材料, 7 个测验

15 个视频

Module Introduction and Objectives1分钟

Introduction to Data Requirements Gathering4分钟

Data Requirements Gathering in Your Reading40

Introduction to Data Collection3分钟

Data Collection in Your Reading33

Introduction to Data Cleaning3分钟

Data Cleaning in Your Reading30

Introduction to Data Analysis3分钟

Data Analysis in Your Reading34

Introduction to Data Interpretation2分钟

Data Interpretation in Your Reading52

Introduction to Data Visualization4分钟

Data Visualization in Your Reading1分钟

Hands-on Demonstration: Visualize the Data!9分钟

Module 2 Summary1分钟

7 个阅读材料

Data Requirements Analysis10分钟

11 Data Collection Techniques for Savvy Researchers10分钟

The Ultimate Guide to Data Cleaning10分钟

Market Research 101: Data Analysis10分钟

What is Data Interpretation10分钟

5 Best Practices for Data Visualization10分钟

Hands-on Exercise: Visualize the Data!10分钟

7 个练习

Data Requirement Gathering15分钟

Data Collection15分钟

Data Cleaning15分钟

Data Analysis15分钟

Data Interpretation15分钟

Data Visualizations15分钟

Module 2 Graded Quiz30分钟

周

周 3

完成时间为 3 小时

Data Analytics Tools and Skills

完成时间为 3 小时

9 个视频（总计 32 分钟）, 4 个阅读材料, 4 个测验

9 个视频

Module Introduction1分钟

Introduction to Data Analytics Tools6分钟

Data Analytics Tools in Your Reading55

Introduction to SQL Basics5分钟

SQL Basics in Your Reading1分钟

Introduction to Data Analytics Programming Fundamentals4分钟

Data Analytics Programming Fundamentals in Your Reading1分钟

Hands-on Demonstration: Conduct Ad-hoc Analysis10分钟

Module 3 Summary17

4 个阅读材料

A Brief History of Database Management10分钟

SQL Wikipedia10分钟

The Python Tutorial10分钟

Hands-on Exercise: Conduct Ad-hoc Analysis10分钟

4 个练习

Data Analytics Tools15分钟

Query Basics15分钟

Data Analytics Programming Fundamentals15分钟

Module 3 Graded Quiz30分钟

完成时间为 2 小时

Foundational Data Analytics Math and Stats

完成时间为 2 小时

6 个视频（总计 12 分钟）, 2 个阅读材料, 3 个测验

6 个视频

Module Introduction and Objectives38

Introduction to Data Analytics Foundational Math7分钟

Data Analytics Foundational Math in Your Reading50

Introduction to Advanced Data Analytics Algorithms2分钟

Advanced Data Analytics Algorithms in Your Reading38

Module 4 Summary24

2 个阅读材料

How to Learn Math for Data Science20分钟

10 Things Statistics Taught Us About Big Data Analysis15分钟

3 个练习

Foundational Math and Stats for Data Analytics15分钟

Advanced Data Analytics Algorithms15分钟

Module 4 Graded Quiz30分钟

周

周 4

完成时间为 2 小时

Data Analytics Methodologies and Workflows

完成时间为 2 小时

6 个视频（总计 13 分钟）, 2 个阅读材料, 3 个测验

6 个视频

Module Introduction and Objectives23

Introduction to Data Analytics Methodologies6分钟

Data Analytics Methodologies in Your Reading1分钟

Introduction to Data Analytics Workflows3分钟

Data Analytics Workflows in Your Reading1分钟

Module 5 Summary12

2 个阅读材料

Why We Need a Methodology for Data Science15分钟

The Data Science Workflow15分钟

3 个练习

Data Analytics Methodologies15分钟

Data Analytics Workflows15分钟

Module 5 Graded Quiz30分钟

关于 Key Technologies in Data Analytics 专项课程

This specialization aims to prepare you for a role working in data analytics. The first course is Fundamentals of Data Analysis. You’ll be introduced to core concepts and you’ll learn about the tools and skills required to conduct data analysis.

The second course, Fundamentals of Cloud Computing, will introduce you to core concepts of cloud computing and the primary deployment and service models. The hands on material offers the opportunity to review and configure a cloud account. In Fundamentals of Data Warehousing, you will learn core concepts of data warehousing. You will learn about the primary components and architectures of data warehousing. The hands on material offers the opportunity to review and configure cloud storage options. In Fundamentals of Big Data, you will be introduced to concepts, systems and life cycles of big data. The hands on material offers you the opportunity to load data into your cloud account.

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培养员工技能，推动业务成果

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Fundamentals of Data Analysis

课程信息

您将学到的内容有

您将获得的技能