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Business Analytics
  • Level Foundation
  • Course by Campus BBVA
  • Offered by

About

Our world has become increasingly digital, and business leaders need to make sense of the enormous amount of available data today. In order to make key strategic business decisions and leverage data as a competitive advantage, it is critical to understand how to draw key insights from this data. The Business Analytics specialization is targeted towards aspiring managers, senior managers, and business executives who wish to have a well-rounded knowledge of business analytics that integrates the areas of data science, analytics and business decision making. The courses in this Specialization will focus on strategy, methods, tools, and applications that are widely used in business. Topics covered include: Data strategy at firms Reliable ways to collect, analyze, and visualize data–and utilize data in organizational decision making Understanding data modeling and predictive analytics at a high-level Learning basic methods of business analytics by working with data sets and tools such as Power BI, Alteryx, and RStudio Learning to make informed business decisions via analytics across key functional areas in business such as finance, marketing, retail & supply chain management, and social media to enhance profitability and competitiveness.

Modules

Lesson 1: The Phenomenon of Big Data

    • 3 Videos
    • 2 Readings
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3 Videos

  • What are you going to see in this course?
  • Why is Big Data important?
  • The 3 v's og Big Data

2 Readings

  • The Internet of People and the Internet of Things
  • Do you want to know more?

Lesson 2: Data and Today's Society

    • 1 Videos
    • 2 Readings
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1 Videos

  • How Big Data systems emerge?

2 Readings

  • Nature of the Data
  • Data Types

Lesson 3: Data-Driven Decision-Making

    • 1 Videos
    • 3 Readings
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1 Videos

  • What should you do before start?

3 Readings

  • Data Treatment
  • Data Processing
  • Utilization

Lesson 4: Big Data and Artificial Intelligence Today

    • 2 Videos
    • 3 Readings
    • 1 Quiz
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2 Videos

  • What is Artificial Intelligence?
  • Challenges and applications

3 Readings

  • Case Study: Netflix
  • Example: BBVA
  • You still have questions?

1 Quiz

  • Ponte a prueba

Lesson 1: The Role of a Data Analyst

    • 1 Videos
    • 1 Readings
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1 Videos

  • What work profiles are there?

1 Readings

  • What should a Data Analyst know?

Lesson 2: The Data Ecosystem

    • 3 Videos
    • 6 Readings
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3 Videos

  • What is a data ecosystem?
  • What are databases?
  • What is Data Lake?

6 Readings

  • What are its benefits?
  • What are the ACID properties?
  • What is the SQL language?
  • Let's see some examples
  • What are its features?
  • Use Cases

Lesson 3: Distributed Computing

    • 1 Videos
    • 1 Readings
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1 Videos

  • What is distributed computing?

1 Readings

  • Some Everyday Applications

Lesson 4: Data Analysis in Big Data

    • 1 Videos
    • 3 Readings
    • 1 Quiz
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1 Videos

  • The importance of Big Data

3 Readings

  • What are the problems that can be addressed?
  • Use Cases
  • You still have questions?

1 Quiz

  • Ponte a prueba

Lesson 1: The Business Problem

    • 3 Videos
    • 4 Readings
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3 Videos

  • Data-driven projects
  • What is the business problem?
  • What does the definition of business metrics consist of?

4 Readings

  • How is the business problem defined?
  • Why use business metrics?
  • Differences between metrics and KPIs
  • How do you track business metrics?

Lesson 2: Understanding the Data

    • 1 Videos
    • 1 Readings
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1 Videos

  • What exactly does data pre-processing consist of?

1 Readings

  • What tasks need to be performed in data pre-processing?

Lesson 3: Understanding Data and Modeling

    • 1 Readings
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1 Readings

  • What is feature engineering and modeling?

Lesson 4: Evaluation

    • 1 Videos
    • 1 Readings
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1 Videos

  • What does the interpretation of results consist of?

1 Readings

  • Two perspectives, one goal

Lesson 5: Deployment

    • 3 Videos
    • 4 Readings
    • 1 Quiz
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3 Videos

  • What does putting into production consist of?
  • What does value enhancement consist of?
  • What does monitoring consist of?

4 Readings

  • Task and milestones of production startup
  • Processes and milestones of Utilization
  • Let's look at an example
  • You still have questions?

1 Quiz

  • Ponte a prueba

Lesson 1: Main Characteristics of Quality Data

    • 2 Videos
    • 3 Readings
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2 Videos

  • Why is data quality important?
  • What characteristics should quality data have?

3 Readings

  • How is data quality management carried out?
  • What are the data quality challenges?
  • Do you want to know more?

Lesson 2: Main Causes of Poor Data Quality

    • 2 Videos
    • 2 Readings
    • 1 Quiz
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2 Videos

  • Why are the causes of low data quality?
  • What are the characteristics to improve data quality?

2 Readings

  • What are the consequences of poor data quality?
  • You still have questions?

1 Quiz

  • Ponte a prueba

Lesson 1: Statistics in Data Analysis

    • 2 Videos
    • 2 Readings
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2 Videos

  • Why is statistics important in data analysis?
  • Variable classification

2 Readings

  • Descriptive versus inferential statistics
  • Do you want to know more?

Lesson 2: Treatment of Qualitative Variables

    • 1 Videos
    • 3 Readings
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1 Videos

  • What are the trafficking representations like?

3 Readings

  • Frequency tables
  • Contingency tables
  • Do you want to know more?

Lesson 3: Treatment of Quantitative Variables

    • 3 Videos
    • 8 Readings
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3 Videos

  • What types of measures exist?
  • Correlation or causation?
  • What are the graphic representations like?

8 Readings

  • Frequency Tables
  • Measures of central tendency
  • Measures of position
  • Measures of dispersion
  • Correlation coefficients
  • What can happen?
  • Nonlinear relationships
  • Do you want to know more?

Lesson 4: Data Imputation

    • 2 Videos
    • 6 Readings
    • 1 Quiz
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2 Videos

  • Why is there data lost?
  • What are the outliers?

6 Readings

  • What mechanisms are behind the lost data?
  • What can we do with the missing data?
  • What types of outliers are there?
  • How are outliers identified?
  • Let's look at an example
  • You still have questions?

1 Quiz

  • Ponte a prueba

Lesson 1: Sampling

    • 1 Videos
    • 2 Readings
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1 Videos

  • What are the statistical population and the sample?

2 Readings

  • Sampling techniques
  • The sample in the era of Big Data

Lesson 2: Normal Distribution

    • 2 Videos
    • 2 Readings
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2 Videos

  • What is the normal distribution?
  • Why is the normal distribution important?

2 Readings

  • Let's look at an example
  • What happens when the normality hypothesis is not fulfilled?

Lesson 3: Estimation methods

    • 2 Videos
    • 6 Readings
    • 1 Quiz
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2 Videos

  • What is parameter estimation?
  • What is a hypothesis test?

6 Readings

  • Estimation methods
  • How to interpret a hypothesis test?
  • How to calculate the sample size?
  • P-value, the great unknown
  • Most popular tests
  • You still have questions?

1 Quiz

  • Ponte a prueba

Lesson 1: Using Visualization to Influence Business Decisions

    • 1 Videos
    • 5 Readings
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1 Videos

  • Why are visualizations important?

5 Readings

  • Some limitations
  • A picture is worth more than a thousand words
  • The best way to visualize data I
  • The best way to visualize data II
  • How to get the most out of a visualization?

Lesson 2: Tips for Creating a Good Data Visualization

    • 1 Videos
    • 2 Readings
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1 Videos

  • How to create impact and avoid pitfalls?

2 Readings

  • What if you don't like what the data means?
  • Biases in data visualizations

Lesson 3: Dashboards

    • 1 Videos
    • 5 Readings
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1 Videos

  • Why are dashboards important?

5 Readings

  • Dashboard functions and features
  • Types of dashboards
  • How to create an effective dashboard?
  • Some tools for creating dashboards
  • Benefits and precautions about dashboards

Lesson 4: Creating Data Stories

    • 2 Videos
    • 4 Readings
    • 1 Quiz
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2 Videos

  • Each person has a story
  • How to create a story from data?

4 Readings

  • In what contexts are data stories used?
  • Some recommendations
  • Case Study: Netflix
  • You still have questions?

1 Quiz

  • Ponte a prueba

Auto Summary

The Business Analytics specialization, offered by Coursera, is designed for aspiring and senior managers, as well as business executives, aiming to harness the power of data for strategic decision-making. This foundational course falls within the Data Science & AI domain, and is taught by experienced instructors. The curriculum covers essential topics such as data strategy, reliable data collection, analysis, visualization, and predictive analytics. Learners will engage with tools like Power BI, Alteryx, and RStudio, applying analytics across finance, marketing, retail, supply chain management, and social media. The course is available with a Starter subscription.

Campus BBVA
Instructor

Campus BBVA