Apply Python as an effective tool for implementing various algorithms.

Describe unsupervised learning and list its various algorithms.

List the various applications and promising areas for the application of unsupervised learning.

Understand how predictive analytics and customer data can support smarter, more effective marketing decisions.

Learn to use customer lifetime value, predictive models, personas, and segmentation to identify, engage, and retain valuable customers.

Explore personalised recommendations,remarketing,customer retention,campaign automation& predictive marketing technologies to improve customer value.

Apply text mining techniques to analyse customer feedback, social media, reviews, and other unstructured data.

Use sentiment analysis, topic modelling, NLP, and text classification to uncover customer insights, trends, and brand perceptions.

Apply text mining to marketing decisions including customer segmentation, competitive analysis, brand reputation, and predictive marketing.

Describe consumer journey, intent, and activity on your business website or landing pages.

Discuss the various digital marketing platforms, their nature, the business elements to create a digital marketing strategy, and various KPIs.

Explain Google Analytics, its importance and data insights that businesses can leverage upon, and how GA4 is different from Universal Analytics.

Analyze how to understand and fine-tune the brand image and market objectives from various KPIs.