- Kyiv School of Economics
- Private: Calendar
- KSE MBAI Course: Data Management
Description
Data Management Course is a part of an MBAI program.
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.
Lecture: @Nika Tamaio 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 case presentation.
Contact us to get more details:
Viber, WhatsApp +380 67 441 01 11, [email protected]
Registration: https://kse.ua/events/?eid=5550
KSE