Business Analytics

Business Analytics

位教师：Campus BBVA

访问权限由 New York State Department of Labor 提供

7,391 人已注册

7个模块

深入了解一个主题并学习基础知识。

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初级等级

推荐体验

7 小时完成

灵活的计划

自行安排学习进度

7个模块

深入了解一个主题并学习基础知识。

47 条评论

初级等级

推荐体验

7 小时完成

灵活的计划

自行安排学习进度

您将学到什么

The phases of a data-driven project and the job profiles involved, as well as the best ways to analyze and share your results.

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作业

7 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7个模块

Nowadays data is essential in the business environment to be gain a global view of an organization's situation and to be able to make better decisions. Against this background, Big Data is a booming sector in multiple areas that opens up different job opportunities, such as the role of Data Analyst.

This course is an introduction to data analytics from a business perspective, focusing on the relevance of basing strategic decision-making on the knowledge provided by data. You will discover the phases of the lifecycle of a data-based project, as well as the importance of ensuring its quality in organizations. You will learn the basics of descriptive and inferential statistics that every data analyst should know. Finally, you will learn some strategies to share information by getting the most out of data visualizations. Our overall goal will be to create an impact on organizations through the generation of more effective dashboards and the use of storytelling from data. Will you join us?

This module introduces the phenomenon of Big Data. And shows you the importance of data in today's society as well as the main trends in the business environment, focusing on the importance of making data-driven decisions.

涵盖的内容

7个视频10篇阅读材料1个作业

7个视频总计14分钟

What are you going to see in this course? 1分钟
Why is Big Data important? 3分钟
The 3 v's og Big Data 2分钟
How Big Data systems emerge? 3分钟
What should you do before start? 1分钟
What is Artificial Intelligence? 2分钟
Challenges and applications 2分钟

10篇阅读材料总计43分钟

The Internet of People and the Internet of Things 5分钟
Do you want to know more? 2分钟
Nature of the Data 3分钟
Data Types 5分钟
Data Treatment 5分钟
Data Processing 10分钟
Utilization 2分钟
Case Study: Netflix 3分钟
Example: BBVA 3分钟
You still have questions? 5分钟

1个作业总计5分钟

Ponte a prueba 5分钟

Throughout this module, we will discuss the role, responsibilities and skills needed to be a data analyst. We'll also take a short tour of the infrastructure, analytics, and applications used to capture and analyze data.

涵盖的内容

6个视频11篇阅读材料1个作业

6个视频总计13分钟

What work profiles are there? 2分钟
What is a data ecosystem? 3分钟
What are databases? 2分钟
What is Data Lake? 2分钟
What is distributed computing? 2分钟
The importance of Big Data 2分钟

11篇阅读材料总计39分钟

What should a Data Analyst know? 5分钟
What are its benefits? 2分钟
What are the ACID properties? 5分钟
What is the SQL language? 5分钟
Let's see some examples 5分钟
What are its features? 5分钟
Use Cases 1分钟
Some Everyday Applications 2分钟
What are the problems that can be addressed? 2分钟
Use Cases 2分钟
You still have questions? 5分钟

1个作业总计5分钟

Ponte a prueba 5分钟

In this module, we will learn the phases of the cycle of a data-based project, focusing on those with more active involvement of the data analyst.

涵盖的内容

8个视频11篇阅读材料1个作业

8个视频总计10分钟

Data-driven projects 2分钟
What is the business problem? 1分钟
What does the definition of business metrics consist of? 1分钟
What exactly does data pre-processing consist of? 1分钟
What does the interpretation of results consist of? 1分钟
What does putting into production consist of? 1分钟
What does value enhancement consist of? 1分钟
What does monitoring consist of? 1分钟

11篇阅读材料总计33分钟

How is the business problem defined? 5分钟
Why use business metrics? 2分钟
Differences between metrics and KPIs 3分钟
How do you track business metrics? 1分钟
What tasks need to be performed in data pre-processing? 5分钟
What is feature engineering and modeling? 1分钟
Two perspectives, one goal 2分钟
Task and milestones of production startup 2分钟
Processes and milestones of Utilization 2分钟
Let's look at an example 5分钟
You still have questions? 5分钟

1个作业总计5分钟

Ponte a prueba 5分钟

In this module, we will focus on the characteristics that quality data must meet. And we will learn the main causes and consequences of using low quality data, focusing on establishing good practices to improve its quality.

涵盖的内容

4个视频5篇阅读材料1个作业

4个视频总计8分钟

Why is data quality important? 1分钟
What characteristics should quality data have? 2分钟
Why are the causes of low data quality? 3分钟
What are the characteristics to improve data quality? 2分钟

5篇阅读材料总计17分钟

How is data quality management carried out? 2分钟
What are the data quality challenges? 2分钟
Do you want to know more? 5分钟
What are the consequences of poor data quality? 3分钟
You still have questions? 5分钟

1个作业总计5分钟

Ponte a prueba 5分钟

In this module, we will learn about the basic concepts of descriptive statistics that every data analyst should know to perform their work efficiently.

涵盖的内容

8个视频19篇阅读材料1个作业

8个视频总计9分钟

Why is statistics important in data analysis? 2分钟
Variable classification 1分钟
What are the trafficking representations like? 1分钟
What types of measures exist? 1分钟
Correlation or causation? 1分钟
What are the graphic representations like? 1分钟
Why is there data lost? 1分钟
What are the outliers? 1分钟

19篇阅读材料总计76分钟

Descriptive versus inferential statistics 2分钟
Do you want to know more? 2分钟
Frequency tables 2分钟
Contingency tables 5分钟
Do you want to know more? 5分钟
Frequency Tables 3分钟
Measures of central tendency 5分钟
Measures of position 3分钟
Measures of dispersion 5分钟
Correlation coefficients 3分钟
What can happen? 5分钟
Nonlinear relationships 2分钟
Do you want to know more? 10分钟
What mechanisms are behind the lost data? 2分钟
What can we do with the missing data? 5分钟
What types of outliers are there? 1分钟
How are outliers identified? 1分钟
Let's look at an example 10分钟
You still have questions? 5分钟

1个作业总计5分钟

Ponte a prueba 5分钟

In this module, we will focus on the normal distribution, its properties and main uses. We will also learn the concepts of population and sample, and parameter estimation (point and interval). We will also offer a definition of hypothesis testing, and we will discover other concepts of inferential statistics that will surely be very useful.

涵盖的内容

5个视频10篇阅读材料1个作业

5个视频总计6分钟

What are the statistical population and the sample? 1分钟
What is the normal distribution? 1分钟
Why is the normal distribution important? 1分钟
What is parameter estimation? 1分钟
What is a hypothesis test? 1分钟

10篇阅读材料总计45分钟

Sampling techniques 10分钟
The sample in the era of Big Data 2分钟
Let's look at an example 2分钟
What happens when the normality hypothesis is not fulfilled? 3分钟
Estimation methods 3分钟
How to interpret a hypothesis test? 5分钟
How to calculate the sample size? 5分钟
P-value, the great unknown 5分钟
Most popular tests 5分钟
You still have questions? 5分钟

1个作业总计5分钟

Ponte a prueba 5分钟

In this module, we will learn about the importance of knowing how to transmit the information obtained from data clearly and concisely to attract the interest of our audience.