Executive Development Programme in Data & Cloud Analytics

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The Executive Development Programme in Data & Cloud Analytics is a certificate course designed to empower professionals with the latest tools and techniques in data analysis. In today's digital age, data has become the lifeblood of businesses, and the ability to interpret and apply data insights is a critical skill for career advancement.

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This course is tailored to meet the growing industry demand for data analytics expertise, focusing on cloud-based analytics tools and methodologies. Learners will gain hands-on experience with cutting-edge technologies such as AWS, Google Cloud, and Azure, equipping them with the skills necessary to drive data-driven decision-making in their organizations. Through a combination of instructor-led lectures, real-world case studies, and interactive labs, this programme provides a comprehensive understanding of data analytics and its application in the cloud. By the end of the course, learners will have developed a robust set of skills, positioning them for success in a rapidly evolving industry.

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่ฏพ็จ‹่ฏฆๆƒ…

โ€ข Data & Cloud Analytics Fundamentals
โ€ข Data Analysis Tools and Techniques
โ€ข Cloud Computing Basics for Data Analytics
โ€ข Big Data Processing with Hadoop and Spark
โ€ข Data Visualization and Business Intelligence
โ€ข Machine Learning and Predictive Analytics
โ€ข Data Security and Privacy in the Cloud
โ€ข Leading Data-Driven Organizational Change
โ€ข Designing and Implementing a Data Analytics Strategy

่Œไธš้“่ทฏ

Executive Development Programme in Data & Cloud Analytics: 1. **Data Scientist**: This role focuses on extracting valuable insights from large datasets using advanced statistical models, machine learning algorithms, and data visualization techniques.
2. **Data Analyst**: Data analysts collect, process, and perform statistical analyses on data to identify trends, correlations, and insights that can help businesses make better decisions.
3. **Cloud Architect**: Cloud architects design and manage secure, scalable, and high-performance cloud environments for data storage and analytics.
4. **Data Engineer**: Data engineers build and maintain data pipelines, ensuring data is available, accurate, and accessible for data scientists and analysts.
5. **Business Intelligence Developer**: BI developers design and build data-driven reporting systems to help businesses monitor performance, identify trends, and make data-driven decisions.
6. **Machine Learning Engineer**: Machine learning engineers design, build, and maintain machine learning systems, enabling applications to learn from data and improve over time.

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EXECUTIVE DEVELOPMENT PROGRAMME IN DATA & CLOUD ANALYTICS
ๆŽˆไบˆ็ป™
ๅญฆไน ่€…ๅง“ๅ
ๅทฒๅฎŒๆˆ่ฏพ็จ‹็š„ไบบ
London School of International Business (LSIB)
ๆŽˆไบˆๆ—ฅๆœŸ
05 May 2025
ๅŒบๅ—้“พID๏ผš s-1-a-2-m-3-p-4-l-5-e
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