Course Summary

The Data Designer course is aimed at individuals who want to develop a strong foundation in data modeling, architecture, and visualization. Students will explore the lifecycle of data design, including data collection, structuring, storage, and presenting data insights effectively. This course focuses on the principles and best practices in designing data systems that are scalable, efficient, and tailored for business needs.

Throughout this course, learners will gain practical experience with tools and techniques used in the data design process, from conceptualizing databases to crafting compelling data visualizations.

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Data Modeling & Architecture: Understand different database types (relational, non-relational), schema design, and optimization techniques.
Data Collection & Structuring: Learn to collect, clean, and structure data for analysis and business intelligence.
Data Storage: Gain insight into cloud-based and on-premise data storage solutions, covering scalability, security, and performance.
Data Visualization & Reporting: Learn how to create impactful visualizations that turn complex data sets into comprehensible, actionable insights.
Tools & Technologies: Gain hands-on experience with popular tools such as SQL, ER diagrams, and data visualization platforms like Tableau or PowerBI.
Data Governance & Compliance: Understand data privacy regulations (e.g., GDPR) and how to implement governance strategies to ensure data integrity and security.

Practical Projects: Hands-on tasks requiring students to design data models, implement databases, and produce visual reports.
Case Studies: Real-world scenarios where students analyze a business problem and design a data solution.
Quizzes & Exams: Regular assessments to test knowledge on theoretical concepts and tools covered.
Capstone Project: A final project where students develop a comprehensive data system, from database design to reporting.

By the end of this course, students will:

Be able to design efficient, scalable data systems that meet organizational needs.
Understand how to structure and store data for optimal analysis and retrieval.
Gain proficiency in creating data models, dashboards, and reports that communicate insights effectively.
Know how to implement and enforce data governance frameworks, ensuring security and compliance with legal standards.
Be adept at using key data tools and technologies to manipulate, store, and visualize data.

Regular & Intensive Learning Option

Class Schedule:
Morning Students – Monday to Thursday, 09:00 am – 03:00 pm
Afternoon Students – Monday to Thursday, 03:30 pm – 08:00 pm
Teaching Method: Online & Offline / Online only (eg. Google meet video call)
Course Duration: 2 sessions (6 months)
Session Length: 1 session = 3 months
DWTA Qualification: Academic Certificate
CTVET’s National TVET Qualification Framework (NTVETQF): National Certificate I
Tuition & Guidance Fees:
- Ghc 2600 per session or
- Ghc 900 per month

Slow-Paced & Relaxed Learning Option

Class Schedule:
Weekend Evening Students – Friday to Sunday, 06:00 pm – 08:00 pm
Teaching Method: Online & Offline / Online only (eg. Google meet video call)
Course Duration: 2 sessions (6 months)
Session Length: 1 session = 3 months
DWTA Qualification: Academic Certificate
CTVET’s National TVET Qualification Framework (NTVETQF): National Certificate I
Tuition & Guidance Fees:
- Ghc 2600 per session or
- Ghc 900 per month

Fill Application Form

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Data Designer

Course Summary

Data Modeling & Architecture: Understand different database types (relational, non-relational), schema design, and optimization techniques.

Data Collection & Structuring: Learn to collect, clean, and structure data for analysis and business intelligence.

Data Storage: Gain insight into cloud-based and on-premise data storage solutions, covering scalability, security, and performance.

Data Visualization & Reporting: Learn how to create impactful visualizations that turn complex data sets into comprehensible, actionable insights.

Tools & Technologies: Gain hands-on experience with popular tools such as SQL, ER diagrams, and data visualization platforms like Tableau or PowerBI.

Data Governance & Compliance: Understand data privacy regulations (e.g., GDPR) and how to implement governance strategies to ensure data integrity and security.

Practical Projects: Hands-on tasks requiring students to design data models, implement databases, and produce visual reports.

Case Studies: Real-world scenarios where students analyze a business problem and design a data solution.

Quizzes & Exams: Regular assessments to test knowledge on theoretical concepts and tools covered.

Capstone Project: A final project where students develop a comprehensive data system, from database design to reporting.

By the end of this course, students will:

Be able to design efficient, scalable data systems that meet organizational needs.

Understand how to structure and store data for optimal analysis and retrieval.

Gain proficiency in creating data models, dashboards, and reports that communicate insights effectively.

Know how to implement and enforce data governance frameworks, ensuring security and compliance with legal standards.

Be adept at using key data tools and technologies to manipulate, store, and visualize data.

Regular & Intensive Learning Option

Class Schedule: Morning Students – Monday to Thursday, 09:00 am – 03:00 pm Afternoon Students – Monday to Thursday, 03:30 pm – 08:00 pm

Teaching Method: Online & Offline / Online only (eg. Google meet video call)

Course Duration: 2 sessions (6 months)

Session Length: 1 session = 3 months

DWTA Qualification: Academic Certificate

CTVET’s National TVET Qualification Framework (NTVETQF): National Certificate I

Tuition & Guidance Fees:

Ghc 2600 per session or

Ghc 900 per month

Slow-Paced & Relaxed Learning Option

Class Schedule: Weekend Evening Students – Friday to Sunday, 06:00 pm – 08:00 pm