Executive Development Programme in Data Analytics for Product Promotion Management
-- ViewingNowThe Executive Development Programme in Data Analytics for Product Promotion Management is a certificate course designed to equip learners with essential data analytics skills for strategic decision-making in product promotion management. This program highlights the importance of data-driven decision-making in today's fast-paced business world, where data has become the new oil.
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โข Introduction to Data Analytics: Understanding the basics of data analytics, data mining, and big data. Introduction to data visualization tools and techniques.
โข Data Storytelling: Communicating data insights effectively through data storytelling. Techniques for presenting data in a clear and engaging way to stakeholders.
โข Product Promotion Management: Overview of product promotion management, including marketing strategies, targeting, positioning, and messaging.
โข Data-Driven Marketing: Utilizing data analytics to inform marketing strategies and improve campaign performance. Measuring marketing effectiveness through data analysis.
โข Predictive Analytics: Introduction to predictive analytics, including regression analysis and machine learning techniques. Using predictive analytics to forecast customer behavior and improve marketing outcomes.
โข Customer Segmentation: Techniques for segmenting customers based on data analysis. Identifying target customer segments and tailoring marketing strategies accordingly.
โข Data Privacy and Ethics: Understanding data privacy regulations and ethical considerations in data analytics. Ensuring data privacy and security in marketing campaigns.
โข Advanced Data Analytics Tools: Hands-on training with advanced data analytics tools, including programming languages such as R and Python, and data visualization tools such as Tableau and Power BI.
โข Case Studies in Data-Driven Product Promotion: Real-world examples of successful data-driven product promotion campaigns. Analyzing case studies to identify key success factors and best practices.
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