- Nauja
Course start - September-October
Mode of study: hybrid
Location of classes : Saulėtekio al. 11, Vilnius
It is recommended to inquire about the planned semester study schedule before purchasing and make sure that it is suitable for him. Tel. (0 5) 274 4888.
Course Financial Big Data Analytics (VVFRM24302) annotation
Here are analysing knowledge, innovation and technology integration fostering big data. Processes for extracting, warehousing, visualizing and analysing of big financial data are being considered. Students are introduced to the methods, tools and software of big data analysis. Students are introduced to the application of the big data for financial management, investment decision-making.
Aim of course
To introduce students to the application of the big data for financial management, investment decision-making.
Learning outcomes: Learn to acquire, store, and analyze big financial data, as well as connect it to create more effective data-driven decisions.Learn the specifics of selecting and applying deep and machine learning algorithms. Gain skills in using big data using various tools and software to solve financial problems.
Basic knowledge and skills required to study this course (if applicable): Economics, Financing.
Faculty and course volume in credits: A 6-credit course of study for the Master's degree in the Faculty of Business Management.
Course content
List of the Course lecture topics:
An overview of business intelligence, big data and financial decision support
Intelligence creation, use and business intelligence governance
Data warehousing
Visual analytics
Finance performance management using high technologies
Data mining
Text and web analytics
Methods and technologies of Big data analytics
Intelligence investment: emerging trend and future impacts
List of the Course exercise topics:
Financial Decisions by using business intelligence
Data mining and prepiering for work
Financial performance Management using high technologies
Data visualization
Data segmentation and classification
An application of text and web analytics
Big data analytics and prediction of financial processes
Upon completion of the course with a positive assessment, a Certificate of Completion will be issued, which is transferable to any higher education institution. Upon completion of the course module without a final assessment, a certificate of completion of the course is issued.
The cost of the course is 469,00 Eur.
Charakteristikos
Pradžia - vasario mėn. Mokymosi būdas: hibridinis, su grupe. Vieta: Saulėtekio g. 11, Vilnius
Pradžia - vasario mėn. Mokymosi būdas: hibridinis, su grupe. Vieta: Plytinės g. 25, Vilnius
Course start - October Mode of study: hybrid Location of classes : Saulėtekio al. 11, Vilnius
Pradžia - vasario mėn. Mokymosi būdas: hibridinis, su grupe. Vieta: Trakų g. 1, Vilnius
Pradžia - vasario mėn. Mokymosi būdas: hibridinis su grupe. Vieta: Saulėtekio al., 11, Vilnius
Pradžia - vasario mėn. Mokymosi būdas: hibridinis su grupe. Vieta: Saulėtekio al., 11, Vilnius
Pradžia - rugsėjo mėn. Mokymosi būdas: hibridinis, su grupe. Vieta: Plytinės g. 25, Vilnius
Pradžia - gegužės mėn. Mokymosi būdas: hibridinis su grupe. Vieta: Saulėtekio al., 11, Vilnius
Pradžia - rugsėjo mėn. Mokymosi būdas: kontaktinis su grupe. Vieta: Trakų g. 1, Vilnius
Pradžia - rugsėjo mėn. Mokymosi būdas: hibridinis, su grupe. Vieta: Plytinės g. 25, Vilnius
Pradžia - gruodžio mėn. Mokymosi būdas: hibridinis, su grupe. Vieta: Saulėtekio al. 11, Vilnius
Pradžia - rugsėjo mėn. Mokymosi būdas: hibridinis su grupe. Vieta: Trakų g. 1, Vilnius
Pradžia - vasario mėn. Mokymosi būdas: kontaktinis, su grupe. Vieta: Linkmenų g. 28, Vilnius
Pradžia - spalio mėn. Mokymosi būdas: hibridinis su grupe. Vieta: Saulėtekio al., 11, Vilnius
Pradžia - rugsėjo mėn. Mokymosi būdas: hibridinis, su grupe. Vieta: Plytinės g. 25, Vilnius
Pradžia - vasario mėn. Mokymosi būdas: kontaktinis, su grupe. Vieta: Plytinės g. 25, Vilnius
Course start - September-October
Mode of study: hybrid
Location of classes : Saulėtekio al. 11, Vilnius