Government of Jamaica - ICT Training Catalogue

ICT Training Catalogue
Network professionals may seek to understand
cloud, big data, and data science technologies so
that they can install and configure the high
performance computing platforms required for
high volume data analysis and visualization in
the government.
Vendor-neutral and vendor-oriented training
would be good for participants in this Job
Family. Training should include 1) business
analytics and intelligence; 2) data science; 3)
modern infrastructures and data management;
and 4) data strategy and leadership. ICT staff
who focus on this Job Family will also be
required to stay current with the latest trends
and technologies in data. Participants should
learn about the role of the data scientist, develop
essential data science skills from sourcing and
preparing data, to analytics modelling with data,
interpreting results, and delivering insights to
the government organizations. Participants will
also develop skills in machine learning and
obtain hands-on experience with data science
toolkits. In addition understanding the
technology and infrastructure required to
process analysis relating to big data is vital.
Building big data information architecture with
Hadoop is one example. Other examples of topics
include designing data warehouse architectures;
preparing data for predictive modeling;
designing modern data warehouse architectures;
creating analytically driven enterprise; new data
storage technologies – from Hadoop to graph
databases (from SQL to NoSQL to NewSQL);
visualizing and communicating data – solving
complex data integration problems; data
governance and management – adopting for
agile, big data, and cloud; and data modeling.
These are some of the topics for customized
courses:
• Data science and machine learning
• Data infrastructure and technologies
• Data engineering and architectures
• Analytics, big data, and BI in the cloud
• Modern data governance and data quality
practices
• The future of the data warehouse
• Data visualization and user experience
• Data management best practices
• Modern dimensional data modeling
• Data strategy and leadership
• Developing an effective data strategy
• Leading a data transformation
• Emerging tools and technologies and their
impact
• Practical use case and best practices
Target Audience: Training in this area is ideal
for F01 Job Family who will be installing and
implementing technologies to provide high
performance computing for data science and for
F04 Job Family who will use the technology to
perform data science activities. There may also
be some use of this platform for the F02 Job
Family.
Requirements and Qualifications: ICT staff
with the aptitude for data science and analysis
should have a good mix of computer science and
mathematics or statistics. This is an evolving
field and could add value to the GoJ by providing
evidence-based direction for strategic decisions.
Some of the training resources include: 1) TDWI
– provide training and certificates; 2) SAS – also
provide training and certifications.
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