Business Analytics

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Business Analytics

Dozent: Campus BBVA

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7 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

4.7

(44 Bewertungen)

Stufe Anfänger

Empfohlene Erfahrung

7 Stunden zu vervollständigen

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

7 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

4.7

(44 Bewertungen)

Stufe Anfänger

Empfohlene Erfahrung

7 Stunden zu vervollständigen

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

Was Sie lernen werden

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

Kompetenzen, die Sie erwerben

Kategorie: Big Data
Kategorie: Business Intelligence
Kategorie: Exploratory Data Analysis
Kategorie: Data Storytelling
Kategorie: Data Analysis
Kategorie: Data Quality
Kategorie: Dashboard
Kategorie: Statistical Inference
Kategorie: Project Management Life Cycle
Kategorie: Job Analysis
Kategorie: Data-Driven Decision-Making
Kategorie: Probability & Statistics
Kategorie: Descriptive Statistics
Kategorie: Business Analytics

Wichtige Details

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7 Aufgaben

Unterrichtet in Englisch

Erfahren Sie, wie Mitarbeiter führender Unternehmen gefragte Kompetenzen erwerben.

Weitere Informationen zu Coursera für Unternehmen

Logos von Petrobras, TATA, Danone, Capgemini, P&G und L'Oreal

In diesem Kurs gibt es 7 Module

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.

Das ist alles enthalten

7 Videos10 Lektüren1 Aufgabe

7 VideosInsgesamt 13 Minuten

What are you going to see in this course?1 Minute
Why is Big Data important?2 Minuten
The 3 v's og Big Data1 Minute
How Big Data systems emerge?2 Minuten
What should you do before start?1 Minute
What is Artificial Intelligence?1 Minute
Challenges and applications1 Minute

10 LektürenInsgesamt 43 Minuten

The Internet of People and the Internet of Things5 Minuten
Do you want to know more?2 Minuten
Nature of the Data3 Minuten
Data Types5 Minuten
Data Treatment5 Minuten
Data Processing10 Minuten
Utilization 2 Minuten
Case Study: Netflix3 Minuten
Example: BBVA3 Minuten
You still have questions?5 Minuten

1 AufgabeInsgesamt 5 Minuten

Ponte a prueba5 Minuten

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.

Das ist alles enthalten

6 Videos11 Lektüren1 Aufgabe

6 VideosInsgesamt 12 Minuten

What work profiles are there?2 Minuten
What is a data ecosystem?2 Minuten
What are databases?2 Minuten
What is Data Lake?1 Minute
What is distributed computing?1 Minute
The importance of Big Data2 Minuten

11 LektürenInsgesamt 39 Minuten

What should a Data Analyst know?5 Minuten
What are its benefits?2 Minuten
What are the ACID properties?5 Minuten
What is the SQL language?5 Minuten
Let's see some examples 5 Minuten
What are its features?5 Minuten
Use Cases1 Minute
Some Everyday Applications 2 Minuten
What are the problems that can be addressed?2 Minuten
Use Cases2 Minuten
You still have questions? 5 Minuten

1 AufgabeInsgesamt 5 Minuten

Ponte a prueba5 Minuten

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.

Das ist alles enthalten

8 Videos11 Lektüren1 Aufgabe

8 VideosInsgesamt 10 Minuten

Data-driven projects2 Minuten
What is the business problem?1 Minute
What does the definition of business metrics consist of?0 Minuten
What exactly does data pre-processing consist of?0 Minuten
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?0 Minuten
What does monitoring consist of?1 Minute

11 LektürenInsgesamt 33 Minuten

How is the business problem defined?5 Minuten
Why use business metrics?2 Minuten
Differences between metrics and KPIs3 Minuten
How do you track business metrics?1 Minute
What tasks need to be performed in data pre-processing?5 Minuten
What is feature engineering and modeling? 1 Minute
Two perspectives, one goal 2 Minuten
Task and milestones of production startup 2 Minuten
Processes and milestones of Utilization2 Minuten
Let's look at an example5 Minuten
You still have questions? 5 Minuten

1 AufgabeInsgesamt 5 Minuten

Ponte a prueba 5 Minuten

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.

Das ist alles enthalten

4 Videos5 Lektüren1 Aufgabe

4 VideosInsgesamt 7 Minuten

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

5 LektürenInsgesamt 17 Minuten

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

1 AufgabeInsgesamt 5 Minuten

Ponte a prueba5 Minuten

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

Das ist alles enthalten

8 Videos19 Lektüren1 Aufgabe

8 VideosInsgesamt 9 Minuten

Why is statistics important in data analysis?1 Minute
Variable classification0 Minuten
What are the trafficking representations like?1 Minute
What types of measures exist?0 Minuten
Correlation or causation?1 Minute
What are the graphic representations like?1 Minute
Why is there data lost?1 Minute
What are the outliers?0 Minuten

19 LektürenInsgesamt 76 Minuten

Descriptive versus inferential statistics 2 Minuten
Do you want to know more?2 Minuten
Frequency tables2 Minuten
Contingency tables5 Minuten
Do you want to know more?5 Minuten
Frequency Tables3 Minuten
Measures of central tendency 5 Minuten
Measures of position 3 Minuten
Measures of dispersion5 Minuten
Correlation coefficients3 Minuten
What can happen? 5 Minuten
Nonlinear relationships2 Minuten
Do you want to know more?10 Minuten
What mechanisms are behind the lost data?2 Minuten
What can we do with the missing data?5 Minuten
What types of outliers are there?1 Minute
How are outliers identified?1 Minute
Let's look at an example10 Minuten
You still have questions?5 Minuten

1 AufgabeInsgesamt 5 Minuten

Ponte a prueba 5 Minuten

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.

Das ist alles enthalten

5 Videos10 Lektüren1 Aufgabe

5 VideosInsgesamt 5 Minuten

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 LektürenInsgesamt 45 Minuten

Sampling techniques 10 Minuten
The sample in the era of Big Data2 Minuten
Let's look at an example2 Minuten
What happens when the normality hypothesis is not fulfilled?3 Minuten
Estimation methods 3 Minuten
How to interpret a hypothesis test? 5 Minuten
How to calculate the sample size? 5 Minuten
P-value, the great unknown5 Minuten
Most popular tests 5 Minuten
You still have questions? 5 Minuten

1 AufgabeInsgesamt 5 Minuten

Ponte a prueba 5 Minuten

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.

Das ist alles enthalten

5 Videos16 Lektüren1 Aufgabe

5 VideosInsgesamt 8 Minuten

Why are visualizations important?1 Minute
How to create impact and avoid pitfalls?1 Minute
Why are dashboards important?1 Minute
Each person has a story1 Minute
How to create a story from data?1 Minute

16 LektürenInsgesamt 78 Minuten

Some limitations2 Minuten
A picture is worth more than a thousand words1 Minute
The best way to visualize data I 5 Minuten
The best way to visualize data II5 Minuten
How to get the most out of a visualization?5 Minuten
What if you don't like what the data means?10 Minuten
Biases in data visualizations6 Minuten
Dashboard functions and features 5 Minuten
Types of dashboards 2 Minuten
How to create an effective dashboard? 3 Minuten
Some tools for creating dashboards10 Minuten
Benefits and precautions about dashboards4 Minuten
In what contexts are data stories used?2 Minuten
Some recommendations3 Minuten
Case Study: Netflix10 Minuten
You still have questions?5 Minuten

1 AufgabeInsgesamt 5 Minuten

Ponte a prueba 5 Minuten

Dozent

Lehrkraftbewertungen

4.6 (14 Bewertungen)

Campus BBVA

7 Kurse75.109 Lernende

von

Campus BBVA

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Bewertungen von Lernenden

4.7

44 Bewertungen

5 stars
75 %
4 stars
22,72 %
3 stars
0 %
2 stars
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1 star
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Zeigt 3 von 44 an

Geprüft am 1. Mai 2025

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

Geprüft am 3. Juni 2025

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

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