Course Brief

“Data Analytics for Data-Driven HR” is a specialized course meticulously crafted to empower HR professionals with the skills and insights needed to navigate the evolving landscape of human resources through data analytics. Upon completion of this course, learners can expect a myriad of job prospects and exciting opportunities in the HR domain such as HR Data Analysts and HR Business Analysts, where they can significantly contribute to organizational success by leveraging data-driven HR practices.


The course unfolds in two modules, with the first module, "Business Analytics," laying the foundation for learners. Here, the emphasis is on mastering the intricacies of Power BI, a powerful tool in the realm of data analytics. The journey begins with an exploration of data analytics fundamentals and an introduction to Power BI, providing a robust base for subsequent modules. Learners delve into the nuances of Power BI data transformation, data modelling, and formatting, gaining proficiency in creating compelling reports and dashboards.
The second module, "Capstone Project - Business Analytics," propels learners into a hands-on, real-world HR analytics project. This comprehensive undertaking involves identifying user personas, creating a meticulous project plan, preparing data for insightful analytics, conducting statistical analytics, and finally, designing interactive dashboards and reports. This holistic project allows learners to showcase their ability to derive meaningful insights from HR data, reinforcing their competence in decision-making. It also places a strong emphasis on data security and collaboration, ensuring that graduates are well-versed in industry standards and best practices for handling sensitive HR information.


Throughout the course, learners assimilate critical skills in HR data analytics and business intelligence, spanning data preparation, modelling, and visualization tailored specifically for HR professionals. This specialized training equips learners with a robust foundation in problem-solving and decision-making within the HR context, enabling them to tackle intricate challenges using data-driven methodologies. The integration of theoretical knowledge with hands-on application through the capstone project ensures that learners not only understand concepts but can effectively apply them in real-world HR scenarios.


In conclusion, Data Analytics for Data-Driven HR is an indispensable course for HR professionals seeking to harness the power of data analytics in their roles. Graduates emerge with the confidence and expertise to excel in the dynamic field of HR analytics, contributing significantly to the success and growth of organizations in the contemporary, data-centric HR landscape.

Course Knowledge, Skills & Ability Summary

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

Knowledge

  • Identify key components of Power BI, and gather knowledge about data acquisition, data transformation, and formatting in business analytics.
  • Recognize the significance of data modelling and its role in tailoring HR analytics solutions.
  • Demonstrate a comprehensive understanding of statistical analytics techniques applicable to HR data analysis.
  • Recognize the role of DAX calculations in Power BI for efficient data analysis.
  • Explain the principles of designing interactive HR dashboards and reports for effective data communication.

Skills

  • Execute Power BI data transformations, showcasing proficiency in extracting meaningful insights for HR decision-making.
  • Apply statistical analytics methods to HR data, ensuring precision in extracting valuable insights for strategic decision-making.
  • Develop interactive HR dashboards and reports, illustrating advanced skills in visual representation for effective communication.
  • Apply DAX calculations and measures to model interrelationships between data features.
  • Execute a comprehensive HR analytics project, showcasing skills in project planning, data preparation, and interactive visualization.

Ability

Upon completion, learners will have the ability to strategically employ data analytics tools and statistical methods to derive meaningful insights, enabling them to effectively drive data-driven decision-making in HR domain.

Blended Learning Journey

(121 Hours)

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E-Learning

16 Hours

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Flipped Class

16 Hours

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Mentoring Support (Sync) (Assignment)

12 Hours

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Mentoring Support (Sync) (Project)

44 Hours

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Mentoring Support (Async)

32 Hours

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Summative Assessment

1 Hours

Module Summary

WSQ Business Analytics (SF)

Module Brief

In the module "Business Analytics," learners will acquire a profound understanding of data analytics through a comprehensive exploration of key learning units. The module commences with an "Introduction to Data Analytics and Power BI," providing learners with foundational knowledge. Subsequently, they will delve into the intricacies of "Power BI Data Transformation," gaining the skills to proficiently extract, clean, and transform data for effective analysis of HR data. The module advances to "Power BI Data Modelling," equipping learners with the capability to develop sophisticated data models crucial for insightful analytics. The next learning unit “Power BI Data Modelling with DAX” will give insights into how to effectively use DAX equations for the calculations and measures. Further, attention is given to "Power BI Formatting, Reports, and Dashboards," where learners will master the art of creating visually compelling and informative data representations.

In the culmination of this module, learners will apply their acquired knowledge to real-world scenarios through a strategic project. The culmination involves the implementation of a comprehensive HR-based business analytics project, utilizing Power BI for data analysis. This practical application ensures learners can seamlessly integrate theoretical concepts into actionable insights for HR decision-making. By navigating through this project, learners will develop the ability to synthesize their acquired skills, effectively addressing HR challenges through data-driven methodologies.


Upon completion of the "Business Analytics" module, learners will not only impart essential knowledge and skills but also ensure learners can practically apply these in HR analytics contexts. The strategic project serves as a capstone experience, solidifying their ability to navigate complex HR scenarios with proficiency and contribute meaningfully to organizational success.

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

WSQ Capstone Project -Business Analytics (SF)

Module Brief

The Capstone Project - Data Analytics is the pinnacle of your journey into data analytics. Here, you'll dive deep into the entire project lifecycle, learning how to propose, plan, and execute a data analytics project using Power BI, tailor-made for HR professionals.

Building on what you've learned throughout the course, this hands-on project covers everything from acquiring and preparing data to creating stunning visualizations and interactive dashboards. With a focus on Power BI, you'll showcase your skills in data analysis, transforming insights, and designing reports. Efficient data modelling and advanced dashboard filtering will become second nature.

Emphasizing the importance of data sharing, collaboration, and security, the project ensures you gain the essential skills to handle sensitive HR data and work seamlessly in team settings. By successfully completing the "Capstone Project - Data Analytics," you'll not only understand the end-to-end project lifecycle but also be equipped with the knowledge and skills to propose, plan, and execute a powerful HR analytics project using Power BI.

Beyond technical expertise, you'll develop the ability to apply data analytics techniques, collaborate effectively, and ensure data security throughout the project. Through your adept handling of a comprehensive Power BI project, you'll prove your readiness to tackle real-world HR challenges and make impactful contributions to data-driven decision-making processes.

Other Information
  • SSG Module Reference No: TGS-2023019817
  • 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 of one O-Level credit (or its equivalent) and completion of any one of the following courses:
  • Experience: Working in HR division of the company.

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

  • WSQ Capstone Project -Business Analytics (SF)

    ICT-DIT-3005-1.1: Data Engineering

Industry Skills Certificate

  • WSQ Business Analytics (SF)

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

Other Information

Course Reference

  • SSG Course Reference No: NA

  • Course Validity Date: 2025-01-31

  • Course Developer : Lithan Academy

Pricing & Funding