Business Analytics

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Business Analytics

Instructor: Campus BBVA

7,641 already enrolled

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7 modules

Gain insight into a topic and learn the fundamentals.

48 reviews

Beginner level

Recommended experience

7 hours to complete

Flexible schedule

Learn at your own pace

7 modules

Gain insight into a topic and learn the fundamentals.

48 reviews

Beginner level

Recommended experience

7 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

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

Skills you'll gain

Tools you'll learn

Dashboard

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

7 assignments

Taught in English

See how employees at top companies are mastering in-demand skills

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There are 7 modules in this course

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.

What's included

7 videos10 readings1 assignment

7 videos Total 14 minutes

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

10 readings Total 43 minutes

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

1 assignment Total 5 minutes

Ponte a prueba 5 minutes

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.

What's included

6 videos11 readings1 assignment

6 videos Total 13 minutes

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

11 readings Total 39 minutes

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

1 assignment Total 5 minutes

Ponte a prueba 5 minutes

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.

What's included

8 videos11 readings1 assignment

8 videos Total 10 minutes

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

11 readings Total 33 minutes

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

1 assignment Total 5 minutes

Ponte a prueba 5 minutes

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.

What's included

4 videos5 readings1 assignment

4 videos Total 8 minutes

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

5 readings Total 17 minutes

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

1 assignment Total 5 minutes

Ponte a prueba 5 minutes

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

What's included

8 videos19 readings1 assignment

8 videos Total 9 minutes

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

19 readings Total 76 minutes

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

1 assignment Total 5 minutes

Ponte a prueba 5 minutes

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.

What's included

5 videos10 readings1 assignment

5 videos Total 6 minutes

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

10 readings Total 45 minutes

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

1 assignment Total 5 minutes

Ponte a prueba 5 minutes

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.

What's included

5 videos16 readings1 assignment

5 videos Total 8 minutes

Why are visualizations important? 2 minutes
How to create impact and avoid pitfalls? 2 minutes
Why are dashboards important? 2 minutes
Each person has a story 2 minutes
How to create a story from data? 1 minute

16 readings Total 78 minutes

Some limitations 2 minutes
A picture is worth more than a thousand words 1 minute
The best way to visualize data I 5 minutes
The best way to visualize data II 5 minutes
How to get the most out of a visualization? 5 minutes
What if you don't like what the data means? 10 minutes
Biases in data visualizations 6 minutes
Dashboard functions and features 5 minutes
Types of dashboards 2 minutes
How to create an effective dashboard? 3 minutes
Some tools for creating dashboards 10 minutes
Benefits and precautions about dashboards 4 minutes
In what contexts are data stories used? 2 minutes
Some recommendations 3 minutes
Case Study: Netflix 10 minutes
You still have questions? 5 minutes

1 assignment Total 5 minutes

Ponte a prueba 5 minutes

Instructor

Instructor ratings

(15 ratings)

Campus BBVA

7 Courses 79,837 learners

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Campus BBVA

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Reviewed on Apr 30, 2025

Really interesting course with a lot of useful information and insights. Thank you

Reviewed on Jun 2, 2025

This course has helped me to update my IT perspectives, especially regarding big data.

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