Data Science Practitioner | InstituteForQuality

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 analyzing data and communicating results to solve elementary business problems. They transform data into robust, comprehensive data sets, aligned with the problem identified in the statement of work and ready for storage.

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. visualization, storytelling, etc., using data visualization tools.

Knowledge Modules

1.KM-01 Introduction to Data Science and Data Analysis, Level 4, 6 Credits.

2.KM-02 Logical Thinking and Basic Calculations: Refresher, Level 4, 4 Credits.

3.KM-03 Computers and Computing Systems, Level 4, 4 Credits.

4.KM-04 Computing Theory, Level 4, 2 Credits.

5.KM-05 Basic Statistics for Data Analytics, Level 4, 10 Credits.

6.KM-06 Statistics Essentials for Data Analytics, Level 5, 4 Credits.

7.KM-07 Data Science and Data Analysis, Level 5, 12 Credits.

8.KM-08 Data Analysis and Visualisation, Level 5, 16 Credits.

9.KM-09 Introduction to Governance, Legislation and Ethics, Level 4, 3 Credits.

10.KM-10 Fundamentals of Design Thinking and Innovation, Level 4, 4 Credits.

11.KM-11 4IR and Future Skills, Level 4, 1 Credit

Practical Skills Modules

1.PM-01 Apply Logical Thinking and Maths Refresher, Level 4, 3 Credits.

2.PM-02 Apply Code to Use a Software Toolkit/Platform in the Field of Study or Employment, Level 4, 4 Credits.

3.PM-03 Use Spreadsheets to Analyse and Visualise Data, Level 4, 3 Credits.

4.PM-04 Use a Visual Analytics Platform to Analyse and Visualise Data, Level 5, 4 Credits.

5.PM-05 Apply Statistical Tools and Techniques, Level 5, 4 Credits.

6.PM-06 Collect and Pre-Process Large Amounts of Unruly Data, Level 5, 12 Credits.

7.PM-07 Apply Data Analysis Techniques to Uncover Patterns and Trends in Datasets, Level 5, 12 Credits.

8.PM-08 Prepare and Present Descriptive Analytic Reports for Decision Making, Level 5, 12 Credits.

9.PM-09 Participate in a Design Thinking for Innovation Workshop, Level 5, 3 Credits.

10.PM-10 Collaborate Ethically and Effectively in the Workplace, Level 5, 2 Credits.

Work Experience Modules:

1.WM-01 Data Collection and Pre-processing Processes, Level 5, 16 Credits.

2.WM-02 Statistical Data Analysis Processes, Level 5, 16 Credits.

3.WM-03 Data visualisation and Reporting Processes, level 5, 16 Credits.

4.WM-04 Capstone Project Using an Appropriate Toolkit, Level 5, 12 Credits.

Entry-Level Roles

– Data Analyst

– Junior Data Scientist

– Business Intelligence (BI) Analyst

Early Career Roles

– Data Scientist

– Data Engineer

– Machine Learning Engineer

Mid-Level Roles

– Senior Data Scientist

– Big Data Specialist

– AI/ML Researcher

Specialized Roles

– Data Visualization Specialist

– Data Strategist

– Natural Language Processing (NLP) Specialist

– Computer Vision Specialist

Senior-Level Roles

– Lead Data Scientist

– Data Architect

– AI/ML Architect

Leadership Roles

– Director of Data Science

– Chief Data Officer (CDO)

– Head of Artificial Intelligence (AI)

HOW TO REGISTER

Enrolment Process

1. Potential students, guardians, or sponsors are required to complete the Registration Form in its entirety.

2. Upon receipt of the application, a student advisor will contact the applicant to discuss the outcome of the application and the subsequent steps.

3. Payment must be made within 48 hours of receiving the invoice to secure enrolment.

4. Upon acceptance of the student, receipt of all necessary documentation, and completion of the payment process, the student’s journey begins.

REGISTER NOW

FOR THE REGISTRATION FORM

PLEASE CONTACT US ON THE FOLLOWING DETAILS:

EMAIL: REGISTRATION@IQETD.CO.ZA

CONTACT DETAILS: Shivan Bhudai (031 304 5050)

Tanique Timothy (011 472 0918)

Occupational Certificate:
Data Science Practitioner

A qualified learner will be able to:

Knowledge Modules

Practical Skills Modules

Work Experience Modules:

– 18 Months

– Online (Hybrid) Learning through Microsoft Teams

Entry-Level Roles

Early Career Roles

Mid-Level Roles

Specialized Roles

Senior-Level Roles

Leadership Roles

Horizontal Articulation:

Vertical Articulation:

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Occupational Certificate: Data Science Practitioner

A qualified learner will be able to:

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Occupational Certificate:
Data Science Practitioner