Course Brief

Data Analytics is a comprehensive course designed to equip learners with the necessary skills and knowledge to excel in the field of data analysis. After completing this course, learners will have access to a wide range of job prospects and exciting opportunities in various industries. They will be prepared to take on key roles such as Data Analyst and Business Analyst where they can drive organizational success through effective data analytics practices.

The course comprises two modules, each focusing on essential aspects of business analytics. In Module 1, "Business Analytics," learners will gain a comprehensive understanding of data analytics and its application in real-world scenarios. They will explore the power of Power BI, a leading business analytics tool, and learn how to effectively prepare and transform data, create insightful visualizations and reports, and develop data models. By mastering these skills, learners will be able to deliver compelling and informative dashboards that drive data-based decision-making.

The second module, "Capstone Project - Business Analytics," provides learners with a hands-on opportunity to apply their acquired knowledge in a practical setting. Through the stages of project proposal and planning, data acquisition and transformation, data modelling and analysis, dashboard preparation and filtering, sharing, collaboration, and security, learners will work on a real-world business analytics project. This capstone project allows learners to showcase their ability to leverage data analytics techniques to extract valuable insights and create meaningful visualizations for decision-makers. The module emphasizes the importance of effective collaboration and data security in the process, preparing learners to work efficiently in team settings and adhere to industry standards and best practices.

Throughout the course, learners will acquire essential skills in data analytics and business intelligence, including data preparation, visualization, modelling, and collaboration. They will also develop a strong foundation in problem-solving and decision-making, enabling them to tackle complex business challenges using data-driven approaches. By combining theoretical knowledge with practical application through the capstone project, learners will gain the confidence and expertise to excel in the field of business analytics. Upon completion of this course, graduates will be well-prepared to leverage data effectively, drive informed decision-making, and contribute to the success and growth of organizations in today"s data-driven business landscape.

Course Knowledge, Skills & Ability Summary

At the end of the course, you will be able to acquire the following:

Knowledge

  • Analyse data using Power BI, showcasing a deep understanding of data analytics principles and techniques.
  • Examine the fundamentals of data transformations and data cleaning.
  • Explore data modelling techniques to uncover the interrelationships between data features.
  • Recognize the role of DAX calculations in Power BI for efficient data analysis.
  • Apply practical techniques for formatting, presenting information, and creating interactive dashboards in Power BI.

Skills

  • Craft impactful visualizations and reports in Power BI, showcasing proficiency in data presentation techniques.
  • Apply DAX calculations and measures to model interrelationships between data features.
  • Utilize Power BI to prepare and transform data effectively, displaying competence in data manipulation and transformation.
  • Develop data models in Power BI, showcasing a practical understanding of data structuring and modelling techniques.
  • Apply acquired knowledge to drive informed decision-making, leveraging data analysis to address complex business challenges.

Ability

Upon completion, learners will possess the ability to seamlessly integrate data analytics and visualization deriving meaningful insights, making informed decisions, and contributing actively to business success using Power BI.

Blended Learning Journey

(60.5 Hours)

Placeholder Image

E-Learning

12 Hours

Placeholder Image

Flipped Class

12 Hours

Placeholder Image

Mentoring Support (Sync) (Assignment)

12 Hours

Placeholder Image

Mentoring Support (Sync) (Project)

12 Hours

Placeholder Image

Mentoring Support (Async)

12 Hours

Placeholder Image

Summative Assessment

0.5 Hours

Module Summary

WSQ Business Analytics (SF)

Module Brief

The "Business Analytics" module provides learners with the knowledge and skills necessary to excel in the field of data analysis. Through a series of learning units, learners will gain a solid foundation in various aspects of business analytics. They will be introduced to the fundamentals of data analytics and Power BI, learning how to effectively prepare and transform data, create insightful visualizations and reports, develop data models, and format and present information through interactive dashboards. 

Building upon the knowledge and skills acquired from the learning units, learners will have the opportunity to apply their expertise in real-world scenarios through a comprehensive project. This project will allow them to implement a business analytics solution using Power BI. By leveraging these tools, learners will gain hands-on experience in analyzing and interpreting data, making data-informed decisions, and simulating business scenarios. Through this practical application, learners will develop the ability to derive meaningful insights, collaborate effectively, and contribute to business success.

Upon completion of the "Business Analytics" module, learners will emerge with a strong understanding of data analytics principles and techniques, along with proficiency in utilizing Power BI. They will possess the necessary skills to prepare and transform data, create impactful visualizations and reports, develop data models, and design interactive dashboards. Furthermore, they will be equipped with the ability to apply their knowledge in a practical setting, leveraging data analysis and simulation to drive informed decision-making and solve complex business problems.

Other Information
  • SSG Module Reference No: TGS-2023019811
  • Module Validity Date: 2025-01-31

Target Audience & Prerequisite

Target Audience

Prerequisite

  • Minimum Age: Minimum 21 years.
  • English Proficiency: Minimum IELTS 5.5 or its equivalent.
  • Academic Qualification: Minimum one credit in O Level or its equivalent
  • Experience: Not Mandatory.

Graduation Requirements

Certificates

Academic Qualification

  • No Academic Qualification for this course

Statement of Attainment

  • WSQ Business Analytics (SF)

    ICT-DIT-3006-1.1: Data Visualization

Industry Skills Certificate

  • WSQ Business Analytics (SF)

    Microsoft : Microsoft Certified: Power BI Data Analyst Associate (PL-300)

Other Information

Course Reference

  • SSG Course Reference No: TGS-2023019811

  • Course Validity Date: 2025-01-31

  • Course Developer : Lithan Academy

Pricing & Funding