Technology and Digital

Business Analytics in Big Data Course

Taught by: Jumled León - Big Data Architect Senior

  • Intermediate
  • 24114 students
  • 4.5
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Online course description

In this course we will learn about Business Analytics, its importance, characteristics and phases to efficiently develop a project in a Big Data environment. 

Data alone does not tell us much and if we add to this the Big Data variable (massive data of different types), obtaining knowledge becomes a complex task. Business Analytics is a methodology that allows us to integrate, order and obtain knowledge from data. 

This course is perfect for anyone who wants to gain knowledge of their big data by learning how to deploy a Business Analytics project.

What will I learn?

You will learn that there is no paradise without Business Analytics. Big Data allows you to store large volumes of data of different types and formats, but how do you relate this data to find patterns and solutions? The answer lies in Business Analytics. 

In this course you will learn not only the phases of a project, but also its activities. Business Analytics can be applied to any technological environment, so we will focus on Big Data. Also, we support agile methodologies that today are vital for an efficient development. 

You will learn how to take action during a Business Analytics project so that when you find yourself participating and leading, you will have clarity on the phases to follow.

Who is it aimed at?

General public: Aimed at the general public who want to learn new ways to analyze data from their organization.

Analytical profile: Aimed at professionals related to data management who seek to expand their knowledge in the use of Business analytics projects in Big Data environments.

Management profile: Aimed at senior and middle management who wish to generate competitive advantages, obtaining value from their big data through Business Analytics.

Requirements

It is convenient, but not restrictive to take the Big Data Fundamentals course beforehand.

Content of the Business Analytics in Big Data course

  • Module 1Course presentation

    3 Capsules 00:04:56

    • Capsule 1: Introduction to the teacher and course
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    • Capsule 2: Methodology
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    • Capsule 3: Summary of the previous course
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  • Module 2BusinessAnalytics

    9 Capsules 00:27:52

    • Capsule 1: What is it?
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    • Capsule 2: Why is it necessary?
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    • Capsule 3: Business Intelligence & Business Analytics
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    • Capsule 4: Business Analytics in Big Data Environment
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    • Capsule 5: Types
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    • Capsule 6: Descriptive Analysis
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    • Capsule 7: Predictive Analytics
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    • Capsule 8: Machine Learning
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    • Capsule 9: Success Stories
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  • Module 3Goodpractices in BA

    3 Capsules 00:07:53

    • Capsule 1: Common problems
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    • Capsule 2: What to consider in BA?
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    • Capsule 3: Dashboard Principles
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  • Module 4Developinga BA Project

    11 Capsules 00:26:47

    • Capsule 1: Determine requirements
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    • Capsule 2: Defining the project strategy
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    • Capsule 3: Planning the project
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    • Capsule 4: Selecting the technology
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    • Capsule 5: Designing the information system
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    • Capsule 6: Construction of the information system
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    • Capsule 7: Implementation planning
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    • Capsule 8: Implement pilot
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    • Capsule 9: Training
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    • Capsule 10: Start-up
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    • Capsule 11: Case study
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  • Module 5Data Governanceand Data Quality

    8 Capsules 00:24:46

    • Capsule 1: Why is it important?
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    • Capsule 2: Principles
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    • Capsule 3: Roles and Responsibilities
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    • Capsule 4: Metadata
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    • Capsule 5: Data quality
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    • Capsule 6: Data Quality Phases
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    • Capsule 7: Traceability
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    • Capsule 8: Success stories
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  • Module 6Conclusions

    3 Capsules 00:03:40

    • Capsule 1: Summary
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    • Capsule 2: Lessons Learned
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    • Capsule 3: Next course
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Final examTo obtain your course pass certificate, you will have 2 attempts per day to pass a multiple-choice exam with more than 70%.

About our expert

Jumled León professor of Business Analytics in Big Data course

Jumled Leon

Big Data Architect Senior

Systems Engineer from Universidad Nacional de Ingeniería with more than 12 years of experience implementing Business Analytics solutions. He is a member of the Big Data Center of Excellence of Banco de Crédito BCP where he has led Business Analytics, Governance and Data Quality projects in environments and with Big Data technology. He has participated in the implementation of the first Data Lake in Peru and today he is working on Real Time projects in Big Data.

He has developed Business Analytics projects in technological platforms such as Data Warehouse, Teradata, Big Data, among others, ensuring data quality and improving decision making. 

He has a master's degree in Data Management and Strategic Innovation from the University of Barcelona, Spain; in addition, he has 2 specializations: Cloud Computing from the Univ. of Maryland, USA; and Big Data from the Univ. of San Diego, USA.

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