OC: Data Science Practitioner (NQF level 5)
- 2 Years
Purpose of Qualification
The purpose of this qualification is to prepare a learner to operate as a Data Science Practitioner.
A qualified learner will be able to:
• 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 e.g., visualisation, storytelling, etc., using data visualization tools.
Overview
Career Focus
• 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
Registered By
Department of Higher Education & Training
Accredited By
QCTO (SAQA ID:118708)
Admission Requirements
NQF Level 4 qualification
Articulation
Horizontal:
• National Certificate: Business Analysis Support Practice, NQF Level 5.
Vertical
• National Certificate: Business Analysis, NQF Level 6.
Assessment of Programme
The Institution will conduct internal assessments by means of assessment activities and signed off work experience log sheets. Upon successful completion of all modules, The Institution provides a statement of results to the candidate and QCTO, as part of the candidate’s application to complete the external Summative Assessment conducted by the QCTO.
Modules
Year 1
Total Credits: 185
| Semester: 1 | Level | Credits |
|---|---|---|
|
Knowledge Modules |
||
|
251102-001- 00-KM-01 Introduction to Data Science and Data Analysis |
4 |
6 |
|
251102-001- 00-KM-02 Logical Thinking and Basic Calculations: Refresher |
4 |
4 |
|
251102-001- 00-KM-03 Computers and Computing Systems |
4 |
4 |
|
Practical Modules |
||
|
251102-001- 00-PM-01 Apply Logical Thinking and Maths Refresher |
4 |
3 |
|
251102-001- 00-PM-02 Apply Code to use a Software Toolkit/Platform in the Field of Study or Employment |
4 |
4 |
|
Work Experience Modules |
||
|
251102-001- 00-WM-01 Data collection and Pre-processing Processes |
5 |
16 |
| Semester: 2 | Level | Credits |
|---|---|---|
|
Knowledge Modules |
||
|
251102-001- 00-KM-04 Computing Theory |
4 |
2 |
|
251102-001- 00-KM-05 Basic Statistics for Data Analytics |
4 |
10 |
|
251102-001- 00-KM-06 Statistics Essentials for Data Analytics |
5 |
4 |
|
Practical Modules |
||
|
251102-001- 00-PM-03 Use Spreadsheets to Analyse and Visualise Data |
4 |
3 |
|
251102-001- 00-PM-04 Use a Visual Analytics Platform to Analyse and Visualise Data |
5 |
4 |
|
251102-001- 00-PM-05 Apply Statistical Tools and Techniques |
5 |
4 |
|
Work Experience Modules |
||
|
251102-001- 00-WM-02 Statistical Data Analysis Processes |
5 |
16 |
Year 2
| Semester: 1 | Level | Credits |
|---|---|---|
|
Knowledge Modules |
||
|
251102-001- 00-KM-07 Data Science and Data Analysis |
5 |
12 |
|
251102-001- 00-KM-08 Data Analysis and Visualisation |
5 |
16 |
|
251102-001- 00-KM-09 Introduction to Governance, Legislation and Ethics |
4 |
3 |
|
Practical Modules |
||
|
251102-001- 00-PM-06 Collect and Pre-Process Large Amounts of Structured and Unstructured Data |
5 |
12 |
|
251102-001- 00-PM-07 Apply Data Analysis Techniques to Uncover Patterns and Trends in Datasets |
5 |
12 |
|
251102-001- 00-PM-08 Prepare and Present Descriptive Analytic Reports for Decision Making |
5 |
12 |
|
Work Experience Modules |
||
|
251102-001- 00-WM-03 Data Visualisation and Reporting Processes |
5 |
16 |
| Semester: 2 | Level | Credits |
|---|---|---|
|
Knowledge Modules |
||
|
251102-001- 00-KM-10 Fundamentals of Design Thinking and Innovation |
4 |
4 |
|
251102-001- 00-KM-11 4IR and Future Skills |
4 |
1 |
|
Practical Modules |
||
|
251102-001- 00-PM-09 Participate in a Design Thinking for Innovation Workshop |
5 |
3 |
|
251102-001- 00-PM-10 Collaborate Ethically and Effectively in the Workplace |
5 |
2 |
|
Work Experience Modules |
||
|
251102-001- 00-WM-04 Capstone Project using an Appropriate Toolkit |
5 |
16 |
Contact us
Sharecall: 0861 995 020
Whatsapp :+27 670 9636
Email: info@gopctraining.co.za
www.gopctraining.co.za
How to Apply?
- You Apply
Tell us a little about yourself and we’ll help with the rest. Our convenient online application tool only takes 10 minutes to complete.
- We Connect
After you submit your application, an admissions representative will contact you and will help you to complete the process.
- You Get Ready
Once you’ve completed your application and connected with an admissions representative, you’re ready to create your schedule.