DATA SCIENCE PRACTITIONER
- Full-time: 2 years
- SAQA ID: 118708
- NQF: 5
- CREDITS: 185
Why Choose the Occupational Certificate Programme?
This Data Science course prepares you to step into the role of a Data Science Practitioner, entrusted with the task of managing and structuring data for use by Data Scientists. You’ll be at the forefront of collecting, transforming, and analysing data, harnessing the fields of Mathematics, Statistics, Computer Science, Information Science, and Business domain knowledge to solve vital business challenges. Data science-related roles are currently among the most sought-after in the tech industry, offering high earning potential and robust job growth.
Join the Data Science Revolution and Shape Tomorrow’s Success.
Course Information
You may enter the programme, with:
- NQF Level 4 qualification
Berea College of Technology (Pty) Ltd is registered as a Private Higher Education Institution with the Department of Higher Education and Training (DHET), with registration number 2000/HE07/004.
On successful completion of the programme, the student will receive a statement of result from Berea College of Technology and upon meeting the EISA requirements, receive an Occupational Certificate: Data Science Practitioner from the QCTO. All Examinations are set and administered by Berea College of Technology.
EISA is a single, national assessment which leads to competent learners being awarded Occupational Certificates.
- Data Analyst – Pay Estimate: +/- R300 000 to R500 000 a year
- Data Engineer – Pay Estimate: +/- R400 000 to R700 000 a year
- Data Scientist – Pay Estimate: +/- R400 000 to R750 000 a year
- Machine Learning Engineer – Pay Estimate: +/- R400 000 to R800 000 a year
- Statistician – Pay Estimate: +/- R300 000 to R850 000 a year
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 Visualisation
- Introduction to Governance, Legislation and Ethics
- Fundamentals of Design Thinking and Innovation
- 4IR and Future Skills
Practical Skill Modules:
- Apply Logical Thinking and Maths Refresher
- 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 Unruly 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
Work Experience Modules:
- Data Collection and Pre-processing Processes
- Data Analysis Processes
- Data Visualisation and Reporting Processes
- Capstone Project Using an Appropriate Toolkit
Contact a career consultant on campus or online, who will take you through the affordable Occupational Certificate pricing structure and explain our flexible payment options.
Customised study materials which meet the programme outcomes can be accessed from the Learner Management System, Moodle. A prescribed book list is available from the academic manager at the start of the programme, although the study guide available on Moodle will sufficiently cover the exam requirements.
Moodle is an online platform, where registered students receive their study materials and other online support material with zero data costs.
- Explore engaging online content, crafted by subject matter experts.
- Access to customised academic repository with assignments, videos and PowerPoint lessons.
- 24-hour access.
Once you have achieved the Occupational Certificate professional training, you can progress to other programmes offered by us or you can earn credits from public tertiary education institutions.
Refer to the SAQA fact sheet for more options to study further.
Apply For Data Science Practioner