The document outlines a statistical training strategy aimed at developing human resources in the context of big data and machine learning, highlighting training policies, methodology, and evaluation processes. It details various training paths, the roles of staff members, and the importance of partnerships and quality standards in data collection and dissemination. The training center, established in 2011, aims to improve productivity and effectiveness through a structured approach to capacity building.

1. ‫التدريب‬ ‫مركز‬‫االحصائي‬
‫نحو‬ ‫متجددة‬ ‫رؤية‬
‫تنمية‬‫كوادر‬ ‫وبناء‬ ‫البشري‬ ‫المال‬ ‫راس‬‫التطورات‬ ‫تواكب‬ ‫إحصائية‬
Statistical Training: Toward big data and machine learning strategy
‫اعداد‬:‫البرغوثي‬ ‫سفيان‬
‫ل‬‫أو‬ ‫احصائي‬‫خبير‬/‫م‬.‫مركز‬‫يب‬‫ر‬‫التد‬
‫الرسمية‬ ‫اإلحصاءات‬ ‫ألغراض‬ ‫الكبيرة‬ ‫البيانات‬ ‫ل‬‫حو‬ ‫الثاني‬ ‫الدولي‬‫املؤتمر‬
‫ظبي‬‫أبو‬2015

2.  Staff members.
 Training policy.
 Work and challenges.
 Road forward.

3. Director for Training and Development
Training coordinator
Staff members: Utilizing FCSA resources
1
1
3
Training Center starts working in2011

4. 4
Training
strategy
Customer
oriented
plans
ISO
standards
processes
Utilizing
partnerships
Utilization
of available
resources
Applied
training
tracks

5. 5
Methods
and
sampling
PRODUCERS
Data
analysis
and
simulation
Official
STATs
Scope
Of
Training
Programs
Competiti
veness
Data
collection
and
dissemination
USERS
Quality
and
standards

6. 6
Capacity
Building
Federal &
Locals
Execution and
evaluation
Partnerships Coordination
Memberships
UN-GWGs
Awareness
To Academic
Society
Society
Institutionali
zation
ISO
Standards
Audiovisuals
materials

7. 7
SAMPLE TITLE
Needs
assessment
s & Analysis
Developing
Training
Strategy
Developing
Quarterly
programs

8. 8
SAMPLE TITLE
Improving
Productivity
Effectiveness
Doing the
things right
Efficiency
Doing the
right things

9. 9
Performance/
Results
Time
Recommended
Curve
Current Curve
Gap
What is needed to fill the Gap?

10. 10
SAMPLE TITLE
This GAP can be separated into 4 main areas:
1.Inputs
2.Attitude
3.Skills
4.Knowledge
STC Training program had been developed.

11. 11
8 training paths/ tracks:
1.Generic path
2.Economic Statistician
3.Population, Social Statistician
4.Environment, Agriculture Statistician
5.Methodology and standards
6.Statistical Analysis
7.Data collection
8.IT related topics

12. 12
SAMPLE TITLE
YearNumber of trainers from outside FCSA
201116
201234
201318
201435
201551
Total154

13. Phase 1
Common
needs
assessment
Phase 2
Common
design
Phase 3
Common
build
Phase 4
Common
collection
Phase 5
Common
processing
Phase 6
Common
analysis
Phase 7
Common
dissemination
Phase 8
Common
evaluation
Input dataInput data
Dissemina
ted data

14. New Public
Service:
Cloud
Computing
New Production
factor:
Big data
New
Infrastructure
Internet
Networks

15. 15

16. Users
can UPGRADE Plans
STC found to Serve You
Thanks 4 All