Data Science Practitioner (Online)

Area of Study: Information Technology

Course Description:

In the age of big data, the role of a Data Science Practitioner is indispensable for organisations seeking to harness the power of data to drive decision-making and innovation. Data science practitioners are skilled professionals who analyse complex datasets to uncover patterns, trends, and insights that inform strategic business decisions. They employ a range of techniques from statistics, machine learning, and data visualisation to interpret data and communicate findings effectively. By integrating their expertise in programming, analytical thinking, and domain knowledge, data science practitioners help organisations solve complex problems and gain a competitive edge. Possible career pathways include Data Scientist, Data Analyst, Data Architect, AI Specialist and Data Visualisation Specialist.

Payment Plan: R1,530/ per month

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Study Period:

up to 24 months

Course Code:

DSP100OL

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NQF Level: 5

Credits: 185

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SAQA ID: 118708

Accreditation Body: QCTO

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Entry Requirements

NQF Level 4 with Mathematics (National Senior Certificate with Mathematics) or equivalent

Assessments

Students will complete an assignment for each of the knowledge and practical modules. For work experience modules students are required to submit the completed Statement of Work Experience with any additional evidence required. Students who have successfully completed the knowledge, practical and work experience requirement of the qualification will be issued with a statement of results which provides entry to the final examination. The final examination or External Integrated Summative Assessment (EISA) is conducted at an approved assessment centre (please note that additional examination fees apply).

Work Experience

The completion of work experience is a compulsory part of the programme. Students are required to spend time at an approved workplace (approximately 75 days) completing the tasks prescribed by the Statement of Work Experience. Such work may be undertaken on a part-time basis.

Awards

Students who have successfully completed the EISA will be awarded the Occupational Certificate: Data Science Practitioner (SAQA ID 118708, NQF level 5, 185 Credits), issued by the Quality Council for Trades and Occupations (QCTO).

Accreditation

Academy of York is accredited by the Quality Council for Trades and Occupations (QCTO) as a Skills Development Provider (SDP), Accreditation No SDP221124080852.

Payment Options:

Payment Plan:

R1,530

Over 24 Months

Registration Fee: R1,840

Course Price:

Price Before Bursary: R42,826

Price After Bursary: R30,600

Once-Off Price:

R29,060

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Course Overview:

Introduction to Data Science and Data Analysis
Logical Thinking and Basic Calculations
Computers and Computing Systems
Computing Theory
Basic Statistics for Data Analytics
Statistics Essentials for Data Analytics
Data Science and Data Analysis
Data Analysis and Visualisation
Governance, Legislation and Ethics
Design Thinking and Innovation
4IR and Future Skills
Apply Code to use a Software Toolkit
Use Spreadsheets to Analyse and Visualise Data
Use a Visual Analytics Platform to Analyse and Visualise Data
Apply Statistical Tools and Techniques

NQF Level: 4

Study Period: up to 24 months

SAQA: 118705

Credits: 100

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