Masterclass Certificate in Advanced Support Analytics Methods
-- ViewingNowThe Masterclass Certificate in Advanced Support Analytics Methods is a comprehensive course designed to equip learners with essential skills for career advancement in the analytics industry. This certificate program focuses on enhancing the learner's ability to analyze and interpret data, providing them with a competitive edge in the job market.
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⢠Advanced Metrics for Support Analytics: Learn about the most important metrics in support analytics, including customer effort score, net promoter score, and customer satisfaction. Understand how to use these metrics to improve customer support.
⢠Predictive Analytics in Support: Dive into the world of predictive analytics and learn how to use data to predict customer behavior. Understand how to use machine learning algorithms to improve support operations.
⢠Data Visualization for Support Analytics: Learn how to present data in a way that is easy to understand and helps drive action. Understand the basics of data visualization and how to use tools like Tableau and PowerBI to create powerful visualizations.
⢠Text Analytics for Customer Support: Learn how to analyze text data from customer interactions, such as chat and email transcripts, to identify trends and insights. Understand how to use natural language processing and sentiment analysis to improve customer support.
⢠Support Analytics Case Studies: Explore real-world examples of how companies have used support analytics to improve customer support and drive business results. Learn from their successes and failures.
⢠Big Data and Support Analytics: Learn how to handle and analyze large datasets to uncover insights that can improve customer support. Understand the basics of big data technologies like Hadoop and Spark.
⢠Statistical Analysis for Support: Dive into the world of statistical analysis and learn how to use tools like R and Python to analyze support data. Understand how to use statistical methods to identify trends and make data-driven decisions.
⢠Data-Driven Decision Making for Support: Learn how to use data to make informed decisions about customer support. Understand how to use analytics to drive business results and improve customer satisfaction.
⢠Advanced Techniques in Support Analytics: Explore advanced techniques in support analytics, such as predictive modeling, machine learning, and artificial intelligence. Learn how to apply these techniques to improve customer support.
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