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QCTO: Data Science Practitioner NQF 5

skills development
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Data Science Practitioner NQF 5

Qualification Overview Duration Delivery Method Who Should Attend Prerequisites Qualification Modules Course Outcomes The Secret To Success
Qualification Overview
Qualifications Overview - Data Science Practitioner NQF 5

The purpose of this qualification is to prepare learners to operate as Data Science Practitioners. Data Science Practitioners take custody of data and make the data available in a structured form for the Data Scientist to use. They support the data life cycle by collecting, transforming, and analysing data and communicating results to solve elementary business problems. They also transform data into robust, comprehensive data sets, aligned with the problem identified in the statement of work and ready for storage.

The qualification will provide the learners with skills and knowledge on how to perform the below tasks:
• Collect large amounts of structured and unstructured data from primary and secondary sources
and extract and transform them into a usable format.
• Apply data analysis techniques to uncover patterns and trends in datasets (resultant sets of data
that can be viewed as tables or as a "spreadsheet of data") to solve business-related problems.
• Prepare and present descriptive analytic reports on patterns and trends using computer programming
languages and explain those patterns and trends through visualization and using data visualization
tools.

Duration
Duration

This qualification is run over 18 months.

Delivery Method
Delivery Method

Training will take place using the tried-and-tested benefits of instructor-led learning, either face-to-face or virtually. 

Alternatively, individual learners can join an open group by clicking on the Enquire/Register Now button. 

Who Should Attend
Who Should Attend

The programme is intended for individuals that are new entrants in the IT sector as well as existing
employees who have experience in this field, but without formal recognition of skills and competencies.
It is also intended for individuals who wish to extend their careers into Data Analysts, Data Miners, Data
Modellers, Data Custodians or Management Information Analysts.

Prerequisites
Prerequisites

We offer a thorough pre-assessment process to align learners to appropriate qualifications and levels. Entry requirements for this qualification include:

• NQF Level 4 Qualification

Qualification Modules
Qualification Modules

Cluster 1: Data Science Fundamentals (18 credits)
(251102-001-00-KM-01, 251102-001-00-KM-07)

Cluster 2: Logical Thinking Numeracy (7 credits)
(251102-001-00-KM-02, 251102-001-00-PM-01)

Cluster 3: Computer Systems (8 credits)
(251102-001-00-KM-03, 251102-001-00-PM-02)

Cluster 4: Data Analysis (15 credits)
(251102-001-00-KM-04, 251102-001-00-KM-05, 251102-001-00-PM-03)

Cluster 5: Future Skills in Data Analytics (13 credits)
(251102-001-00-KM-11, 251102-001-00-PM-07)

Cluster 6: Statistical Tools for Data Analysis (8 credits)
(251102-001-00-KM-06, 251102-001-00-PM-05)

Cluster 7: Data Visualisation Tools (20 credits)
(251102-001-00-KM-08, 251102-001-00-PM-04)

Cluster 8: Data Collection (12 credits)
(251102-001-00-PM-06 )

Cluster 9: Compliance Principles (5 credits)
(251102-001-00-KM-09, 251102-001-00-PM-10)

Cluster 10: Design Thinking and Innovation (7 credits)
(251102-001-00-KM-10, 251102-001-00-PM-09)

Cluster 11: Analytic Report Writing (12 credits)
(251102-001-00-PM-08)

Workplace Logbook Submissions (60 credits)

Course Outcomes
Course Outcomes
    • Knowledge Modules
      • Introduction to Data Science and Data Analysis.
      • Logical Thinking and Basic Calculations: Refresher.
      • Computers and Computing Systems.
      • Computing Theory.
      • Basic Statistics for Data Analytics.
      • Statistics Essentials for Data Analytics.
      • Data Science and Data Analysis.
      • Data Analysis and Visualization.
      • Introduction to Governance, Legislation and Ethics.
      • Fundamentals of Design Thinking and Innovation.
      • 4IR and Future Skills.
    • Practical Modules
      • Apply Logical Thinking and Maths Refresher.
      • Apply Code to use a Software Toolkit/Platform in the Field of Study or Employment.
      • Use Spreadsheets to Analyse and Visualise Data.
      • Use a Visual Analytics Platform to Analyse and Visualise Data.
      • Apply Statistical Tools and Techniques.
      • Collect and Pre-Process Large Amounts of Structured and Unstructured Data.
      • Apply Data Analysis Techniques to Uncover Patterns and Trends in Datasets.
      • Prepare and Present Descriptive Analytic Reports for Decision Making.
      • Participate in a Design Thinking for Innovation Workshop.
      • Collaborate Ethically and Effectively in the Workplace.
    • Workplace Module
      • Data Collection and Pre-processing Processes.
      • Statistical Data Analysis Processes.
      • Data Visualisation and Reporting Processes.
The Secret To Success
The Secret To Success

A Learnership is an extremely complex  and often challenging project that requires:

Learner engagement, retention and completion is dependent on a number of key factors:

  • Choosing the right Learnership
  • Sourcing the right learners
  • Sourcing the right learners
  • Providing the right support
Enquire Now
Download Overview
Learnership Qualifications

Business Administration

NC - Business Administration Services NQF 3

FETC - Business Administration Services NQF 4

OC - Office Administration NQF 5

OC - Office Supervisor NQF 5

Business Management

NC - Management NQF 3

FETC - General Management NQF 4

NC - General Management NQF 5

NC - Customer Management NQF 5

Contact Centre

OC - Contact Center Manager NQF 5

 

Information Technology

NC - End User Computing NQF 3

FETC - Technical Support NQF 4

FETC - Systems Development Level 4

OC - Cloud Administrator NQF 4

OC - Internet-of-Things Developer NQF 4

OC - Data Science Practitioner NQF 5

NC - Systems Support NQF 5

Insurance

OC - Long-Term Insurance Advisor NQF 5

 

Marketing

OC - Marketing Coordinator NQF 5

New Venture Creation

NC - New Venture Creation NQF 2

FETC - New Venture Creation NQF 4

Project Management

OC - Project Management NQF 5

Training and Development

OC - Training and Development Practitioner NQF 5

Wholesale & Retail

OC - Store Person NQF 2

OC - Sales Assistant (Retail Sales Advisor) NQF 3

OC - Dispatching & Receiving Clerk NQF 3

OC - Retail Supervisor NQF 4

OC - Supply Chain Practitioner NQF 5

OC - Retail Store Manager NQF 6

 

 

LEARNERSHIP BENEFITS

Learnership_benefits_2

RELATED QUALIFICATIONS

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NC: Generic Management: Customer Management NQF 5

NC: Generic Management: Customer Management NQF 5

NC: Generic Management: General Management NQF 5

NC: Generic Management:
General Management NQF 5

NC: Generic Management: General Management NQF 3

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