Data Science Society

Presentation: Higher education in Bulgaria

1. Data Science Society brief

2. Education data analysis review

3. Next steps

Data Science Society brief

Sergi Sergiev

Business Science

Education

Why

Who we are

For the past 2 years our driving core of 10 people has been joined by 30 volunteers and over 1000

members of the community.

Events

• Meetup

• Data and Beer

• Conference

• Projects

• Data talks

• Datathon

Directions

• Online platform

• Support

Education

• Projects

Previous collaborations

Education data analysis review

Anton Nenov

Universities in Bulgaria DSS Interactive Visualisation Tableau Public

1. What we Did?

a. We have created one database with the data for all Universities in Bulgaria for the period

2005-2015

b. We have built an online interactive visualisations to see different kinds of structured info

2. Why we did it?

a. We have more than 50 universities in Bulgaria

b. They have more than 3900 different courses active for the last year

c. More than 100 000 rows analysed.

d. It is too difficult for everyone to see the big picture using the official data on the website

of Ministry of Education

3. Source of data - Ministry of Education:

https://www2.mon.bg/AdminUReg/html/reports.asp#

All Universities in Bulgaria

Forecast for the next Year • It is easy for everyone to select the university and see what will be

the situation next year.

• We used integrated Winters Additive as method with low level of

Standard Error (MAPE from 4.2% to 6.9%)

Some Interesting findings

• All Universities in Plovdiv Region are increasing number of students

compared with steady numbers for all other regions.

Some Interesting findings

• There is a big Increase of the foreign Student in all Medical

Universities in Bulgaria?

Some Interesting findings

• There is a big decrease for students studying Architecture and

Construction after a period of big interest (2008-2010).

Where is the VIZ?

You can find it on the following address:

https://public.tableau.com/profile/dss.bulgaria

Small problem - the VIZ is on Bulgarian language :)

Next steps

Sergi Sergiev

Big data implications

Datathon Cases:

• Volume - GBs of data • Velocity - real time portals of data, APIs • Variety - images, opendata, text, structured data,

APIs • Machine learning - predictive models, NLP,

semantics, OCR, data cleansing • Participants:

• 9 business • 4 startups • NSI and Council of Ministers -

opendata.government.bg

Collaboration

- Datathon support with statistical data

- Collaboration about EU Big Data Hackathon in March

- Discussion to open NSI data

Questions

http://www.DataScienceSociety.net/datathon/

@DataSciSociety