Global Certificate E-commerce: Data Analytics
-- ViewingNowThe Global Certificate in E-commerce: Data Analytics is a comprehensive course designed to equip learners with essential data analytics skills for the e-commerce industry. This course emphasizes the importance of data-driven decision making in e-commerce, providing insights into consumer behavior, market trends, and business performance.
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⢠Data Analysis for E-commerce: Understanding the basics of data analysis and its importance in e-commerce.
⢠Data Collection Methods: Learning various methods for collecting data in e-commerce, such as web analytics, customer surveys, and social media monitoring.
⢠Data Cleaning and Preparation: Techniques for cleaning, preparing, and formatting data for analysis.
⢠Descriptive and Inferential Statistics: Understanding the fundamentals of statistics and how to apply them to e-commerce data.
⢠Data Visualization: Techniques for visualizing e-commerce data to gain insights and communicate results.
⢠Data Modeling and Predictive Analytics: Learning how to build data models and make predictions based on e-commerce data.
⢠Data-Driven Decision Making: Understanding how to use data to make informed decisions in e-commerce.
⢠Machine Learning for E-commerce: Introduction to machine learning techniques and how they can be applied to e-commerce data.
⢠Ethical Considerations in Data Analytics: Exploring the ethical considerations of data analytics in e-commerce, such as data privacy and security.
Note: The above units cover a broad range of topics related to data analytics in e-commerce. Depending on the specific needs and goals of the course, some units may be combined or split into multiple units.
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