GIBAH
GIBAH
Courses
Introduction to Writing (IW)
Understanding the basics of written communication. Key components of a well-structured document. Common grammar and punctuation mistakes to avoid. Writing for different purposes (e.g., informative, persuasive, creative). Practical writing exercises and feedback.
N 40,000
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Writing with Clarity and Impact (IW_102)
Advanced grammar and style tips. Crafting compelling introductions and conclusions. Developing a unique writing voice. Polishing and editing your work. Exploring different writing formats (e.g., reports, essays, and blogs
N 60,000
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Professional and Technical Writing (IW_103)
Writing for specific industries (e.g., business, healthcare, technology). Creating technical documents and manuals. Ethical considerations in professional writing. Collaborative writing and document version control. Real-world writing projects and case studies.
N 80,000
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Introduction to Research Fundamentals (RS_101)
Defining research objectives and questions. Exploring different research methods (qualitative, quantitative). Conducting effective literature reviews. Collecting and organizing research data. Basic research ethics and integrity.
N 60,000
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Research Design and Methodology (RS_102)
Designing research studies and experiments. Data collection techniques and tools. Analyzing research data using statistical software. Writing research proposals and grant applications. Ethical considerations in research.
N 80,000
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Advanced Research and Publication (RS_103)
Publishing research findings in journals and conferences. Peer review and academic publishing processes. Building a research network and collaborations. Advanced data analysis techniques. Preparing research reports and theses.
N 100,000
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Introduction to Data Analysis (DA_101)
Basics of data collection and sources. Data cleaning and preprocessing. Introduction to statistical analysis. Data visualization using software tools (e.g., Excel). Interpreting and reporting results.
N 40,000
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Intermediate Data Analysis (DA_102)
Advanced statistical techniques (e.g., regression, ANOVA). Using data analysis software (e.g., R, Python, and SPSS). Data mining and pattern recognition. Reporting and presenting data insights. Practical data analysis projects.
N 60,000
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Advanced Data Science and Machine Learning (DA_103)
Machine learning fundamentals. Predictive modeling and classification. Deep learning and neural networks. Big data analysis and tools (e.g., Hadoop, Spark). Real-world data science projects and applications.
N 100,000
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Introduction to Programming (CS_101)
Basics of programming languages (e.g., Python, JavaScript). Writing and debugging code. Data types and variables. Control structures (if, loops). Simple coding exercises and projects.
N 60,000
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Web Development and Application (CS_102)
Building web applications using HTML, CSS, and JavaScript. Version control (e.g., Git). Working with APIs. Debugging and testing. Developing a web project.
N 80,000
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Advanced Programming and Software Development (CS_103)
Object-oriented programming (OOP). Software architecture and design patterns. Database integration. Deployment and DevOps. Collaborative software development on real-world projects.
N 100,000
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Entrepreneurial Writing, Research and Coding (EWRC_201)
Unlocking Opportunities, Finding Your Niche, Monetization Strategies, Building an Online Presence, Legal and Financial Considerations, Scaling and Future Growth, Taking Effective Action.