Business Analytics
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Recommended experience
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Recommended experience
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
- Project Management Life Cycle
- Probability & Statistics
- Data Quality
- Descriptive Statistics
- Sampling (Statistics)
- Data Presentation
- Statistical Inference
- Business Analytics
- Analytics
- Statistical Methods
- Data Storytelling
- Dashboard Creation
- Data Analysis
- Statistics
- Statistical Hypothesis Testing
- Big Data
- Data-Driven Decision-Making
- Probability Distribution
- Data Visualization
Tools you'll learn
Details to know
See how employees at top companies are mastering in-demand skills
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
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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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