The aim of this course is to explore how big data analytics can be applied to understand, manage, and optimize human behavior and decision-making in organizations.
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Our S.E.P programme is committed to shaping leaders ready to tackle the world's intricate challenges and catalyse economic growth—accessible entirely through our dynamic online platform.
The Special Executive Programme offers you the flexibility to select from a range of carefully designed, executive-level modules, enabling you to create a curriculum that directly supports your career development. Each module is a short, intensive course that focuses on high-impact, practical knowledge designed to fit around your professional commitments.
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Choose any five or six modules that align with your current career goals and interests. Each module is designed to be delivered in a short, intensive format, ensuring you can quickly gain the skills you need without a long-term time commitment. Assessment is Assignment based.
Upon completing each module, you'll earn a CPD Accredited Certificate, recognized globally. These certificates not only enhance your professional credentials but also showcase your mastery in specific industry domains. Based on the completed assignment each module is a 20-credit module.
After completing a minimum of five modules, you can upgrade your qualification to a full Master's Degree with one of our renowned affiliate universities in Europe or the USA.
If you complete six modules, you'll have a direct pathway to earning your Master's Degree without additional coursework. Alternatively, if you choose five modules, you'll only need to complete a Graduation Project to achieve your degree.
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The S.E.P. is delivered online through a series of intensive short modules, allowing professionals to fit learning into their busy schedules without the long-term commitment of a traditional Master's programme.
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This programme is a modular version of a Master's Programme, offering in-depth coverage of key subject areas in a concise and focused format.
Upon completing each module, you will earn a CPD Accredited Certificate, recognized internationally, demonstrating your expertise and commitment to ongoing professional development.
This course provides a comprehensive understanding of how big data and people analytics can transform workforce management and decision-making in organizations. Participants will explore the key elements of data-driven human resource practices, including employee performance analysis, talent acquisition strategies, and predictive modeling to enhance employee retention and productivity.
In addition, the course delves into the use of big data to identify workforce trends, assess organizational culture, and improve overall employee engagement. Participants will gain insights into leveraging advanced analytics tools to drive strategic HR decisions and create actionable insights from complex data sets.
By mastering these concepts, participants will be equipped to implement data-driven strategies that optimize human capital, foster innovation, and enhance organizational effectiveness. This course is ideal for HR professionals and managers looking to integrate big data analytics into their workforce planning and decision-making processes.
The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience.
This module provides the most critical information about the study course and assignment submission.
Watch this video to gain further insight.
Watch this video to gain further insight.
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Downloadable material to advance your understanding of this module.
Downloadable material to advance your understanding of this module.
Downloadable material to advance your understanding of this module.
The Special executive programme explores the intersection of People Analytics and Big Data, diving deep into data collection, infrastructure, analytics, and real-world applications. Gain hands-on experience with tools and techniques vital for driving organizational excellence and addressing complex challenges in today's data-driven landscape.
Watch this video to gain further insight.
Watch this video to gain further insight.
Watch this video to gain further insight.
In this section/lecture you will learn about big data analytics, its tools, and techniques. You will also learn about different techniques and modles ,,,,,,,,,,,,,,,,,,,,,
Self-paced pre-recorded learning content on this topic.
Self-paced pre-recorded learning content on this topic.
Self-paced pre-recorded learning content on this topic.
Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct.
This course provides a comprehensive understanding of how big data and people analytics can transform workforce management and decision-making in organizations. Participants will explore the key elements of data-driven human resource practices, including employee performance analysis, talent acquisition strategies, and predictive modeling to enhance employee retention and productivity.
In addition, the course delves into the use of big data to identify workforce trends, assess organizational culture, and improve overall employee engagement. Participants will gain insights into leveraging advanced analytics tools to drive strategic HR decisions and create actionable insights from complex data sets.
By mastering these concepts, participants will be equipped to implement data-driven strategies that optimize human capital, foster innovation, and enhance organizational effectiveness. This course is ideal for HR professionals and managers looking to integrate big data analytics into their workforce planning and decision-making processes.
People Analytics:
Define People Analytics and distinguish it from traditional HR practices.
•Explain the benefits of using People Analytics in organizations.
•Identify the key concepts and techniques used in People Analytics, such as data collection, analysis, and visualization.
•Understand how People Analytics can improve workforce performance, retention, and engagement.
•Analyze the challenges associated with implementing People Analytics in organizations, such as data privacy and ethical considerations.
•Appreciate the role of People Analytics in a data-driven organization and its potential impact on business outcomes.
•Evaluate case studies and examples of successful implementation of People Analytics in different industries.
Data Collection and Analysis for People Analytics:
⦁ Identify the Different Data types and Sources used in People Analytics.
⦁ Explain the Importance of Data Cleaning and Preparation in People Analytics.
⦁ Apply Data Analysis Techniques, and Interpret Statistical Measures Used in People Analytics.
⦁ Recognise the Challenges Associated with Collecting and Analysing People-Related Data and Formulate Strategies for Addressing the Challenges.
⦁ Understand the Ethical Considerations Associated with Collecting and Analysing People-Related Data Such as Informed Consent and Confidentiality.
Big Data Infrastructure:
⦁ Understand the Components of Big Data Infrastructure Including Storage Systems, Distributed File Systems, and Processing Frameworks.
⦁ Identify the Characteristics and Benefits of Distributed File Systems Such as Hadoop Distributed File System (H.D.F.S).
⦁ Describe the Architecture and Capabilities of Apache Spark and its Role in Big Data Processing.
⦁ Recognise the Use Cases and Benefits of Apache Cassandra as a Distributed N..O.S.Q.L Database.
⦁ Compare and Contrast Different Big Data Storage and Processing Systems Such as Hadoop, Spark, and Cassandra.
⦁ Understand the Scalability and Fault-tolerance Mechanisms Used in Big Data Infrastructure Such as Sharding and Replication.
⦁ Appreciate the Challenges Associated with Deploying and Managing Big Data Infrastructure Such as Hardware and Software Configuration and Security Considerations.
Big Data Analytics:
⦁ Identify the Different Types of Big Data Analytics, Such as Descriptive, Predictive and Prescriptive Analytics.
⦁ Understand the Data Mining Process and its Role in Big Data Analytics.
⦁ Apply Machine Learning Techniques Such as Classification, Regression and Clustering to Analyse Big Data.
⦁ Describe the Principles and Applications of Natural Language Processing in Big Data Analytics.
⦁ Recognise the Benefits and Limitations of Big Data Analytics in Different Industries Such as Healthcare, Finance and Marketing.
⦁ Evaluate the Accuracy and Reliability of Big Data Analytics Results.
⦁ Understand the Ethical and Legal Considerations Associated with Big Data Analytics, Such as Data Privacy and Intellectual Property Rights.
This module provides the most critical information about the study course and assignment submission.
Watch this video to gain further insight.
Watch this video to gain further insight.
Watch this video to gain further insight.
Watch this video to gain further insight.
Watch this video to gain further insight.
Downloadable material to advance your understanding of this module.
Downloadable material to advance your understanding of this module.
Downloadable material to advance your understanding of this module.
The Special executive programme explores the intersection of People Analytics and Big Data, diving deep into data collection, infrastructure, analytics, and real-world applications. Gain hands-on experience with tools and techniques vital for driving organizational excellence and addressing complex challenges in today's data-driven landscape.
Watch this video to gain further insight.
Watch this video to gain further insight.
Watch this video to gain further insight.
In this section/lecture you will learn about big data analytics, its tools, and techniques. You will also learn about different techniques and modles ,,,,,,,,,,,,,,,,,,,,,
Self-paced pre-recorded learning content on this topic.
Self-paced pre-recorded learning content on this topic.
Self-paced pre-recorded learning content on this topic.
Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct.
The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience.
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