WSQ Business Analytics (SF) (Synchronous and Asynchronous E-Learning)
About This Course
The module "Business Analytics" is designed to empower learners with the essential knowledge and skills required to thrive in the dynamic field of data analysis. Through a structured series of learning units, participants will establish a robust foundation in various facets of data analytics. The module commences with an exploration of fundamental concepts in data analytics and Power BI, enabling participants to adeptly prepare and transform data, create insightful visualizations and reports, develop data models, and proficiently format and present information using interactive dashboards.
Expanding on the expertise garnered from the learning units, participants will engage in hands-on, real-world scenarios through a comprehensive project. This project offers a unique opportunity to implement a data analytics solution employing Power BI. By leveraging Power BI, participants will gain practical experience in analyzing and interpreting data and making informed decisions based on data insights. This practical application will foster the development of the participant's capacity to extract meaningful insights, collaborate effectively, and actively contribute to the success of businesses.
Upon successful completion of this module, participants will emerge with a profound understanding of data analytics principles and techniques. They will possess proficiency in utilizing Power BI, equipped with the necessary skills to prepare and transform data, craft impactful visualizations and reports, develop data models, and design interactive dashboards. Furthermore, participants will be empowered to apply their acquired knowledge in practical settings, utilizing data analysis to drive informed decision-making and address intricate business challenges.
What You'll Learn
Learning Outcomes -Knowledge
1. Identify key components of the Power BI interface for effective data analytics workflows.
2. Explain the principles of data cleaning and preprocessing to ensure accurate analysis.
3. Describe data modeling techniques and relationship-building strategies in Power BI.
4. Summarize the syntax and functions of DAX for creating calculated measures.
5. Discuss advanced visualization and dashboard design concepts to enhance data interpretation.
Learning Outcomes -Skills
1. Apply data cleaning techniques to transform raw datasets into usable formats.
2. Construct robust data models by establishing relationships between tables.
3. Formulate DAX expressions to perform complex calculations on datasets.
4. Develop advanced visualizations using Power BI’s dashboard design tools.
5. Present and communicate analytical findings effectively using interactive Power BI dashboards.
Instructional Units
1. Introduction to Data Analytics and Power BI Interface
2. Data Cleaning, Transformation and Preprocessing
3. Advanced Visualization Techniques and Dashboard Design
4. Data Modelling and Relationships
5. Introduction to DAX (Data Analysis Expressions)
Entry Requirements
• Academic: Minimum one credit in O Level or its equivalent
• English Proficiency – Minimum IELTS 5.5 or its equivalent
• Work Experience - Minimum 1 year of experience in any business process