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Training on Big Data for Official Statistics

Innovations in technology, broad use of electronic devices and the all-around generation of digital information bring fundamental changes to the availability of real-time information, such as data from GPS devices, from mobile phones or from social media. These high-volume and sometimes loosely structured data sources, commonly referred to as Big Data, is different from conventional data sources for official statistics, and have many challenges in their application. The business case still needs to be made for many statistical offices if, why and how Big Data is useful for official statistics.

The statistical community has recognized the potential use of big data for official statistics. The UN Statistical Commission, therefore, established in March 2014 a global working group mandated to provide strategic vision, direction, and coordination of a global programme on Big Data for official statistics, to promote practical use of sources of Big Data for official statistics, while finding solutions for their challenges, and to promote capacity building and sharing of experiences in this respect.

Currently, most developed countries have started using various Big Data sources encountering a number of challenges. Mobile phone data, Traffic loop data, Twitter data, and Satellite imagery have all been successfully used. Whereas national circumstances can be fairly unique, it is still intended to generalize the use of such Big Data sources to other countries, especially also in developing parts of the world.


5 days


Big data and the international statistical community

Mobile phones, GPS and other tracking devices

  1. What is the typology of the data source?

  2. What are the challenges?

  • Who are the partners?

Mobile phone devices and ICT indicators 

Traffic loop data for Transport Statistics

Exploring the Use of Big Data in Transport Statistics

Satellite imagery and other geospatial information

  1. What is the typology of the data source?

  2. What are the challenges?

  • Who are the partners?

  1. Example - Use of satellite images for measuring agricultural crop production

Use of satellite images for agricultural statistics

Use of Remote Sensing Technology and Information in Agricultural Statistics

Combining social, economic and environment statistics utilizing geospatial data

Twitter and other social media

  1. What is the typology of the data source?

  2. What are the challenges?

  • Who are the partners?

Facebook and Twitter data for Consumer confidence index

 Use of social media data for official statistics

Web scraping for Labor statistics 

Online Price Data Capture

Real Estate Price Forecasting on the Basis of Network Data Search

Commonalities on benefits and challenges of big data sources

  1. Common methodological issues and quality concerns

  2. Common privacy issues - Legal frameworks, ethical guidelines and trusted technology solutions to safeguard privacy

  3. Common issues on partnerships – Data acquisition, Division of responsibilities

  4. Common IT issues – Cloud computing

Introducing innovation, especially in developing country circumstances

Big Data and development

Big Data strategy

Big Data in developing country circumstances


The instructor led trainings are delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.

All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.


Upon successful completion of this training, participants will be issued with an Indepth Research Services (IRES) certificate.


The training will be held at the IRES Training Centre in in Kigali, Rwanda . The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.


Accommodation is arranged upon request. For reservations contact the Training Officer.

Email: This email address is being protected from spambots. You need JavaScript enabled to view it. 

Mob: +250 789 621 067 


Payment should be transferred to IRES account through bank on or before C.O.B 14th  October 2019.

Send proof of payment to This email address is being protected from spambots. You need JavaScript enabled to view it.. 

Payment for all courses includes a registration fee, which is non-refundable and equals 15% of the total sum of the course fee.

 Participants may cancel attendance 14 days or more prior to the commencement date.

  • No refunds will be made 14 days or less to the training commencement date. However, participants who are unable to attend may opt to attend a similar training at a later date, or send a substitute participant provided the participation criteria have been met.

Please Note: The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.

Event Properties

Event Duration 5 Days
Event Date 21-10-2019
Event End Date 25-10-2019
Cut off date 14-10-2019
Individual Price(rwanda franc) R₣ 552,000
Individual Price (International) EUR 877
Individual Price(International in Dollars) USD 999
Location Kigali,Rwanda
We are no longer accepting registration for this event

Group Tariffs

Group Size Rwandese Rate Per Day( R₣) International Rate Per Day(USD/EURO)
3-5 588,800.00 $ 1,118.00
€ 1,018.00
6-10 894,400.00 $ 1,721.00
€ 1,567.00
11-15 1,376,800.00 $ 2,250.00
€ 2,048.00
16-20 1,800,000.00 $ 2,706.00
€ 2,463.00
21-25 2,164,800.00 $ 3,089.00
€ 2,811.00
26-30 2,471,200.00 $ 4,556.00
€ 0.00
30-50 3,644,800.00 $ 736.00
€ 670.00
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