Executive Development Programme in HRT: Data Analytics

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The Executive Development Programme in HRT: Data Analytics is a certificate course designed to meet the growing industry demand for data-driven decision-making in Human Resources. This programme emphasizes the importance of data analytics in optimizing workforce performance, employee engagement, and talent management.

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By leveraging data-driven strategies, organizations can drive business outcomes and gain a competitive edge. As a learner, you will gain essential skills in data analytics, including data visualization, statistical analysis, and predictive modeling. You will also learn to apply these skills to real-world HR scenarios, such as predicting employee turnover, identifying high-potential talent, and optimizing recruitment strategies. These skills are in high demand across industries, making this course an excellent opportunity for career advancement in HR and related fields. By completing this programme, you will be equipped with the knowledge and skills to drive data-driven decision-making in your organization, leading to improved performance, increased efficiency, and better business outcomes. Join the growing community of HR professionals who are leveraging data analytics to drive innovation and growth.

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โ€ข Data Analytics for HR
โ€ข Introduction to HR Data Analytics
โ€ข Data Collection Methods in HR
โ€ข Data Analysis Tools and Techniques
โ€ข HR Metrics and Key Performance Indicators (KPIs)
โ€ข Data Visualization for HR Decision Making
โ€ข Predictive Analytics in HR
โ€ข Talent Analytics and Workforce Planning
โ€ข Ethical Considerations in HR Data Analytics

่Œไธš้“่ทฏ

In the ever-evolving landscape of Human Resources and Talent Management, data analytics has become a critical area of focus. Organizations are increasingly leveraging data-driven approaches to make informed decisions around talent acquisition, development, and retention. As a professional in this space, understanding the job market trends, salary ranges, and skill demand is vital to your career advancement. Data Scientist, Data Analyst, Business Intelligence Analyst, and Data Engineer are some of the most in-demand roles in the data analytics field. Let's dive into the specifics of each role and understand how they fit into the HRT industry: 1. **Data Scientist**: With a 30% share of the market, data scientists are the most sought-after professionals in HRT data analytics. They are responsible for extracting valuable insights from complex datasets and creating predictive models to support talent decision-making. 2. **Data Analyst**: Data analysts hold a 40% share of the market. They specialize in analyzing and interpreting datasets to identify trends, patterns, and insights that can inform HRT strategies. 3. **Business Intelligence Analyst**: Representing 20% of the market, business intelligence analysts focus on transforming raw data into meaningful information that supports HRT decision-making. They design and implement dashboards and reports to visualize critical metrics and KPIs. 4. **Data Engineer**: Data engineers make up the remaining 10% of the market. They design, build, and maintain data systems to ensure data quality and availability. Their work enables other data professionals to extract insights and make informed decisions. Staying updated on these trends and mastering the relevant skills is essential for professionals in the HRT data analytics field. By doing so, you can position yourself for career growth and success in a rapidly changing industry.

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EXECUTIVE DEVELOPMENT PROGRAMME IN HRT: DATA ANALYTICS
ๆŽˆไบˆ็ป™
ๅญฆไน ่€…ๅง“ๅ
ๅทฒๅฎŒๆˆ่ฏพ็จ‹็š„ไบบ
London School of International Business (LSIB)
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05 May 2025
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