Big Data

Precio

$100.00

Fecha de Inicio

Coming Soon
Jueves
7:00 PM - 10:00 PM

Instructor

Michelle Santibáñez Muñoz

About the Course

Companies increasingly require being more at the forefront of what their customers expect and / or need. A great ally to get what to offer is information and this can be obtained from the data that clients themselves generate minute by minute through the digital world in which we live. Today, it is the data that gives direction to things and it is even expected that in 2025, 463 exabytes per day will be created worldwide.
A clear example of the advantage of leveraging data in the best way is the Netflix use case that saved $ 1 trillion per year in customer retention.
Little by little, more companies join the exploitation of large volumes of data to find the “precious stone”; Thus, by 2020, more than 97% of the organizations are investing in Big Data and Artificial Intelligence solutions.

Due to this, the job offer related to Big Data and Artificial Intelligence is on the rise, reaching 2.7 million positions created worldwide. During the course we will see the following topics that will allow students to exploit data in their organizations:

- Data Lake and Data Warehouse.
- Data integration.
- Data exploitation and visualization
- Advance Analytics
- Machine Learning.

Course Objectives

Participants at the end of this course will be able to:
• Recognize how to implement Big Data solutions

• Identify Machine Learning solutions
• Observe the characteristics of the use of Big Data and Machine Learning applied in real situations of organizations.

Course Materials

• Application videos about the Big Data ecosystem, Data analytics and Machine Learning.
• Readings and applied cases where methodologies, strategies and best practices oriented to the ecosystem and data processing are applied for its analysis and application in organizations.

Modulos

Módulo : Data Lake & Data Warehouse
o Duration: 03 hours
o Objectives : Know and analyze the definitions between Data Lake and Data Warehouse
o Learning Activities: During the 03 hours of synchrounous classes, topics of the Data Lake & Data Warehouse in companies in cases applied to real corporate situations, discussion Forum, case studies, and videos will be done in class.

Módulo II: Data integration
o Duration: 03 hours
o Objectives: Know the alternatives to make data available in a Data Warehouse.
o Learning Activities: During the 03 hours of synchrounous classes, topics of the Data integration in companies in cases applied to real corporate situations, discussion Forum, case studies, and videos will be done in class.

Módulo III: Data exploitation and visualization
o Duration: 03 hours
o Objectives: Identify the different types of insights obtained in order to allow businesses to make decisions.
o Learning Activities: During the 03 hours of synchrounous classes, topics of the Data exploitation and visualization in companies in cases applied to real corporate situations, discussion Forum, case studies, and videos will be done in class.

Módulo IV: Advanced analytics
o Duration: 03 hours
o Objectives: Understand advanced analytics models and their applications in businesses.
o Learning Activities: During the 03 hours of synchrounous classes, topics of the advanced analytics in companies in cases applied to real corporate situations, discussion Forum, case studies, and videos will be done in class.

Módulo V: Machine Learning
o Duration: 03 hours
o Objectives: Know the Machine Learning models and their different applications in the market.
o Learning Activities: During the 03 hours of synchrounous classes, topics of the Machine Learning in companies in cases applied to real corporate situations, discussion Forum, case studies, and videos will be done in class.

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