Masterclass Certificate in People Analytics for the Data Age

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The Masterclass Certificate in People Analytics for the Data Age is a comprehensive course designed to equip learners with essential skills for the data-driven era. This program is crucial in today's industry, where data has become the lifeblood of organizations, and the ability to analyze and interpret it is a highly sought-after skill.

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The course covers a wide range of topics, including data visualization, statistical analysis, and predictive modeling. It provides hands-on experience with industry-standard tools and techniques, enabling learners to turn raw data into actionable insights. By the end of the course, learners will have a deep understanding of people analytics and its role in organizational decision-making. They will be able to use data to tell compelling stories, drive strategy, and improve business outcomes. This certificate course is an excellent opportunity for professionals looking to advance their careers in the field of people analytics and data science.

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่ฏพ็จ‹่ฏฆๆƒ…

โ€ข Introduction to People Analytics  
โ€ข Data Literacy for People Analytics  
โ€ข HR Data Management  
โ€ข Data Visualization in People Analytics  
โ€ข Workforce Metrics & Analytics  
โ€ข Talent Analytics  
โ€ข Diversity, Equity, and Inclusion (DEI) Analytics  
โ€ข Employee Lifecycle Analytics  
โ€ข Predictive Analytics in HR  
โ€ข Ethics in People Analytics

่Œไธš้“่ทฏ

The **Masterclass Certificate in People Analytics for the Data Age** focuses on the growing demand for data-driven decision-making in the UK job market. This 3D pie chart highlights the percentage distribution of popular roles in people analytics and data science, including: 1. **Data Scientist**: Focusing on statistical analysis, machine learning, and predictive modeling, these professionals are in high demand, with a 25% share of the market. 2. **Business Intelligence Analyst**: With a 20% share, these professionals analyze organisational data to provide actionable insights, employing data visualization and reporting techniques. 3. **Data Analyst**: Holding an 18% share, data analysts collect, process, and perform statistical analyses on data to identify trends and provide data-backed recommendations for business decisions. 4. **Data Engineer**: With a 15% share, these professionals design, build, and maintain data systems, facilitating the transformation of raw data into usable formats. 5. **Data Visualization Specialist**: Representing a 12% share of the market, these experts create visual representations of data to facilitate informed decision-making. 6. **Machine Learning Engineer**: Holding a 10% share, these professionals design, develop, and deploy machine learning models, contributing to the automation of data analysis and decision-making processes.

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MASTERCLASS CERTIFICATE IN PEOPLE ANALYTICS FOR THE DATA AGE
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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