Data Management

MBAI course

Description

Course description:

Data utilization becomes one of the critical competitive advantages for modern companies. According to the International Institute for Analytics, by 2020, data-driven companies will bypass competitors who do not use data to make decisions by any less than $430 billion.

 

This course is aimed to provide a clear understanding of: 

  • data collection and aggregation, 
  • validation and storing, 
  • data governance and processing required data to ensure the accessibility, reliability, and timeliness of the data for its users. 

 

The course is built on a carefully selected mix of teaching methods, lasts for a month and consists of 2 blocks of lectures/workshops.

 

About the lecture Nika Tamaio Flores:

https://www.linkedin.com/in/veronica-tamayo-flores/

 

Language: English

 

Exams & certification:

After the successful completion of the course, the participants will get a certificate.

 

After completing the course you’ll be able to:

  • Identify data needed to be collected for a particular business case and easily distinguish various data types;
  • Understand what data management is and why it is essential for any modern organization;
  • Create a relational database schema;
  • Understand how to design data warehouses and business intelligence systems;
  • Understand the principles of data profiling, data integration, data governance, and master data management;
  • Asses different data architectures in the context of business requirements;
  • Understand the basics of SQL, NoSQL, distributed, and hybrid architectures. 

 

Participant profiles:

Entrepreneurs and business owners, who want to recognize data opportunities and utilize data analysis in their business, professionals who want to help their organization grow with data-driven decisions.

 

Requirements for students: 

No prerequisites

Price: UAH 24 000, including VAT

 

Agenda:

 

25 Oct. 9 am – 1:20 p.m (6 hours)

Introduction to DM. Types of data. Databases. DBMS. Overview of SQL, NoSQL, HDFS, cloud storage.

 

26 Oct. 9 am – 1:20 p.m (6 hours)

Data governance. Data strategy. Metadata.

 

27 Oct. 9 am – 1:20 p.m (6 hours)

Data model. DB design. Data architecture. DWH, data vault, data lake. Hybrid architecture.

 

8 Nov. 9 am – 1:20 p.m (6 hours)

DB administration. ETL and ELT. Data pipeline.

 

9 Nov. 9 am – 1:20 p.m (6 hours)

Master Data Management. Data lifecycle. Business Intelligence. Data integration.

 

10 Nov. 9 am – 1:20 p.m (6 hours)

Data-driven decision-making. Group cases presentation.

 

Contact us to get more details:

Viber, WhatsApp +380 67 441 01 11, [email protected]