Our Courses
We are Zizi Institute! A Skills Development Company offering industry
relevant training short courses and qualifications.
Build Your Career Path With Our Experts!
Skill Programme
Carpentry
Accreditation Number
ACC/21/05/00008
Accrediting SETA
Construction Education and
Training Authority (CETA)
Credits
24
Duration
35 Days
Admission Requirements
NQF Level 1 Numeracy and
Literacy Competencies
- Read and Interpret roof plan drawings
- Prepare the work area and select, use maintain tools,
- equipment and materials.
- Set out, position and install battens or purlins
- Set out and clad roof structures.
- Set out, position and install finishing components.
- Read and interpret roof layout plans.
- Prepare the work area and select, use and maintain tools,
- equipment and materials.
- Erect and dismantle scaffolding
- Anchor wall plates, locate and mark-off positions of roof
- trusses on wall plate.
- Set out, position and secure roof trusses.
- Read and interpret drawings and prepare cutting lists.
- Prepare the work are and select, use and maintain tools,
- equipment and materials.
- Erect, use and dismantle scaffolding.
- Erect ceiling
- Install insulation
SAQA ID - 14887
Name of Unit Standard: Clad roof structures
Credits: 6
Duration: 10 days
SAQA ID - 14887
Name of Unit Standard: Erect roof structure
Credits: 14
Duration: 20 days
SAQA ID - 14887
Name of Unit Standard: Erect ceilings and install insulation
Credits: 4
Duration: 5 days
Contact
+27 31 201 1181
Call us for any queries
hello@zizi.org.za
Drop us a mail
Skill Programme
Data Science and Machine Learning Essentials
Course Code
40486
Accrediting SETA
Construction Education and
Training Authority (CETA)
Credits
24
Duration
2 Weeks
Find out how to build and derive insights from data science and machine learning models.
Explore key concepts in data acquisition, preparation, exploration, and visualization, and take
a look at how to build a cloud data science solution using Azure Machine Learning, and
Python.
Who Should Attend
Learner must have familiarity with basic concepts of:
- Data science
- Data organization
- Data visualization
- Data analysis
Learner will receive the necessary foundation to build a career in Data Science
Students have the options of choosing face-to-face learning approach, evening and Saturday
classes. We also host bootcamps. Check our website for upcoming bootcamps and school
holiday programmes
- Describe key concepts of data science and machine learning.
- Prepare data for predictive modeling.
- Visualize and explore data.
- Create supervised and unsupervised machine learning models.
- Publish machine learning web services.