Certificate in Data Analytics for Business and Work Placement
The program covers a range of data analytics techniques, from basic data processing to advanced analytical methods, with a focus on applying these skills to real-world business problems.

Overview
The Certificate in Data Analytics for Business and Work Placement is a 12week program designed to provide participants with the skills needed to analyze and interpret business data to drive strategic decisions. The program covers a range of data analytics techniques, from basic data processing to advanced analytical methods, with a focus on applying these skills to real-world business problems.
Participants will start by learning the fundamentals of data analytics, including data collection, cleaning, and preliminary analysis. The course covers essential tools such as Excel, SQL, and Python, providing a solid foundation for handling and analyzing large datasets. Emphasis will be placed on understanding data structures and using statistical methods to derive meaningful insights. The program also includes training in data visualization techniques, teaching participants how to create compelling visualizations and dashboards using tools like Tableau and Power BI. Participants will learn how to present data effectively to communicate insights to stakeholders and support data driven decision-making.
A significant component of the program is dedicated to applying data analytics in business contexts. Participants will work on case studies and real-world projects to understand how data analysis can be used to solve business problems, optimize operations, and drive growth. The work placement provides an opportunity for participants to gain practical experience in a business environment, applying their data analytics skills to real-world projects and collaborating with professionals in the field.

What you’ll learn
Upon successful completion of this program, participants will be able to:
- Analyze and interpret business data to extract actionable insights.
- Use data analytics tools and techniques to address business challenges.
- Create effective data visualizations and reports to communicate findings.
- Apply data driven decision-making to improve business performance.
- Gain practical experience through work placement by working on real-world data analytics projects.
Course Descriptions
DAB101A Introduction to Data Analytics for Business (3 credits)
This course provides an overview of data analytics, including data collection, cleaning, and basic analysis techniques. Participants will learn about the role of data in business decision-making.
- Learning Outcome:Understand the fundamentals of data analytics and how to apply them to business problems.
DAB101B Data Tools and Technologies (3 credits)
Participants will learn how to use data analytics tools such as Excel, SQL, and Python for data processing, analysis, and interpretation.
- Learning Outcome:Utilize data analytics tools to process and analyze business data effectively.
DAB101C Data Visualization and Reporting (3 credits)
This course focuses on creating visualizations and reports using tools like Tableau and Power BI. Participants will learn how to present data in a way that supports decision-making.
- Learning Outcome:Develop and present data visualizations that clearly communicate insights to stakeholders.
DAB101D Data-Driven Business Decisions (2 credits)
Participants will explore how data analytics can be used to drive business decisions. The course includes case studies and practical applications of data analysis in business contexts.
- Learning Outcome:Apply data analytics to improve business performance and decision-making.
DAB101E Work Placement in Data Analytics (4 credits)
The work placement component offers participants hands-on experience in data analytics. Participants will work on real projects, applying their skills in a business environment and gaining practical insights.
- Learning Outcome: Gain practical experience in data analytics by working on real-world projects and applying theoretical knowledge.