Advanced Certificate in Customer Support Analytics: Future-Ready
-- ViewingNowThe Advanced Certificate in Customer Support Analytics is a future-ready certificate course that emphasizes the importance of data-driven decision-making in customer support. This course addresses the rising industry demand for support professionals who can leverage analytics to improve customer experiences and drive business growth.
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⢠Advanced Metrics for Customer Support Analytics: Delve into the world of advanced metrics such as Customer Effort Score (CES), Net Promoter Score (NPS), and Customer Satisfaction (CSAT) to measure customer loyalty and satisfaction.
⢠Predictive Analytics in Customer Support: Learn how to use statistical models and machine learning algorithms to predict future customer behavior and improve customer support.
⢠Big Data Analytics for Customer Support: Discover how to handle and analyze large datasets to gain insights into customer behavior and improve support strategies.
⢠Text Analytics and Natural Language Processing (NLP): Master the art of analyzing customer feedback, reviews, and support tickets using NLP techniques such as sentiment analysis and topic modeling.
⢠Customer Support Analytics Tools and Technologies: Get hands-on experience with popular customer support analytics tools such as Zendesk, Salesforce, and Tableau.
⢠Data Visualization for Customer Support Analytics: Learn how to create compelling and informative visualizations to communicate insights and recommendations to stakeholders.
⢠Customer Support Analytics Project Management: Understand how to manage customer support analytics projects from start to finish, including defining project goals, selecting appropriate tools and techniques, and communicating results to stakeholders.
⢠Data Security and Privacy in Customer Support Analytics: Ensure that customer data is kept secure and private throughout the analytics process, adhering to relevant regulations and best practices.
⢠Ethics in Customer Support Analytics: Explore the ethical considerations of customer support analytics, including data ownership, privacy, and bias.
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