Global Certificate in Retention Data Analysis Framework
-- ViewingNowThe Global Certificate in Retention Data Analysis Framework is a comprehensive course designed to equip learners with essential skills in data analysis for customer retention. This certification is crucial in today's data-driven world, where businesses rely heavily on customer retention for growth and sustainability.
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⢠Data Collection Techniques: Understanding the various methods for gathering and measuring data, including surveys, interviews, and secondary sources.
⢠Data Analysis Tools: Introduction to popular data analysis tools and software, such as Excel, SPSS, and R.
⢠Data Cleaning and Preparation: Techniques for cleaning and preparing data for analysis, including handling missing values, outliers, and data transformations.
⢠Descriptive and Inferential Statistics: Overview of statistical methods, including measures of central tendency, dispersion, and correlation, as well as hypothesis testing.
⢠Predictive Analytics: Introduction to predictive modeling, including regression analysis, decision trees, and machine learning algorithms.
⢠Retention Metrics and KPIs: Understanding the key performance indicators used to measure customer retention, such as churn rate, customer lifetime value, and net promoter score.
⢠Segmentation and Customer Analysis: Techniques for segmenting customers and analyzing customer behavior, including RFM analysis and cohort analysis.
⢠Data Visualization and Reporting: Best practices for presenting data insights and recommendations, including data visualization tools and creating data dashboards.
⢠Ethics in Data Analysis: Discussion of ethical considerations in data analysis, including data privacy, security, and informed consent.
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