Basic Data Analytics– Certificate Awarded
This course introduces participants to the foundational principles and practical tools of data analysis for informed decision-making. Learners will understand h...
This course introduces participants to the foundational principles and practical tools of data analysis for informed decision-making. Learners will understand h...
The Data Analytics Skills Bridge Core Course is a comprehensive, blended learning program designed to empower participants to collect, clean, analyze, visualize, and interpret data to support data-driven decision-making across various industries. Through a combination of video lectures, hands-on labs, and real-world case studies, students build a robust foundation in data literacy, management, and ethics.
The curriculum covers a wide range of essential topics and
tools, including:
The course emphasizes practical application, featuring mini-projects
for each module and concluding with a professional Capstone Project
where students work in teams to solve a real-life problem and present their
findings to both technical and non-technical audiences.
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• Introduction and Module Objectives
Defining Data Analytics
The Four Types of Analytics
Real-world Examples of Analytics
Types of Data: Structured vs. Unstructured
Sources of Data: Primary vs. Secondary
Data Collection Techniques
Everyday Data Collection & Foundations of Ethics and Privacy
Applications of Data Ethics and Privacy
The Importance of Privacy & Introduction to GDPR
The Seven Key Principles of GDPR
Individual Rights under GDPR
Conclusion and Next Module Preview
ASSESSMENT-FOUNDATION OF DATA ANALYTICS AND LITERACY
1:0:0Introduction to Data Management, Quality, and Preparation
Handling Missing Data
Understanding and Managing Outliers
Addressing Data Inconsistencies
Introduction to Databases and DBMS
The Necessity of Databases
Relational Databases
NoSQL and Graph Databases
Basic Database Building Blocks
Database Keys and Operations
Introduction to Database Design
ASSESSMENT-DATA MANAGEMENT, CLEANING AND VISUALIZATION
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Sr. Data Scientist @ Consolidated Bank, Ghana | 4x Microsoft Certified Azure Data Scientist | MLOps Engineer | Data Science | Machine Learning | AI | Python | PowerBI A highly accomplished Data Scientist, Data Engineering Consultant, and AI specialist with extensive experience spanning banking, international development, and advanced machine learning systems. He is recognized for building scalable data solutions that transform raw information into actionable intelligence for decision-making, automation, and organizational growth. He currently serves as a Data Engineering Consultant at UNICEF (Geneva), where he works remotely on designing and optimizing data systems that support large-scale humanitarian and development programs. His role focuses on building robust data pipelines, improving data accessibility, and enabling evidence-based decision-making through modern data engineering practices. He is also a Senior Data Scientist at Consolidated Bank Ghana, where he leads the development of advanced analytics and AI-driven solutions for financial systems. His work spans machine learning, natural language processing, big data engineering, and cloud-based AI deployment using platforms such as Microsoft Azure and Apache Spark. He plays a key role in leveraging data to improve banking operations, customer insights, and digital transformation initiatives. In addition, he serves as a Data Science Consultant with AfriLabs, contributing to AI and machine learning initiatives that support innovation ecosystems across Africa. His consulting work includes building and applying large language models (LLMs), deep learning systems, and intelligent automation solutions tailored for emerging markets. He has strong international experience with getINNOtized GmbH (Germany), where he worked both as a Data Scientist and Data Science Trainer. In these roles, he developed and delivered training programs in Python, Microsoft Azure, Power BI, machine learning, data modeling, and automation technologies, while also building enterprise-grade data solutions for clients across industries. He also previously worked as a Data Scientist at SCALEWORK (Germany), where he focused on cloud computing, AI systems development, and predictive analytics. Earlier in his career, he served as a Data Scientist at the German Institute of Business and Technology, where he gained foundational experience in machine learning, data modeling, and applied AI systems. His professional journey began with hands-on technical roles such as Data Labelling and Machine Learning Specialist at Datamaker_GH, where he worked on computer vision systems, dataset preparation, and neural network training. He later advanced to become a Data Analyst at CalBank PLC, where he supported banking operations through data analysis, reporting automation, and core banking system support using Temenos T24 and VBA tools. Across all roles, he brings deep technical expertise in artificial intelligence, cloud computing, big data, and software engineering. His core strengths include Python programming, Microsoft Azure, machine learning, generative AI, speech recognition, and data visualization. Driven by innovation and impact, he is committed to leveraging data and artificial intelligence to solve complex real-world problems—particularly in finance, development, and public sector systems—while advancing Africa’s role in the global AI and data ecosystem.
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language
English
Duration
03h 00mLevel
beginner
Expiry period
1 Months
Certificate
Yes
English
Certificate Course
03h 00m