Professional Certificate in Online Store Data for Impact
-- ViewingNowThe Professional Certificate in Online Store Data for Impact is a vital course designed to equip learners with the necessary skills to leverage data for decision-making in e-commerce. This program is essential in today's digital age, where online businesses generate vast amounts of data daily.
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GBP £ 140
GBP £ 202
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โข Data Collection Techniques for Online Stores: Understanding the various methods to gather data from online stores, including manual data collection, automated data collection, and web scraping.
โข Data Cleaning and Preparation: Techniques for cleaning, preparing, and formatting data for analysis, ensuring that the data is accurate, consistent, and complete.
โข Data Analysis Tools and Techniques: Overview of the tools and techniques used to analyze data from online stores, including descriptive statistics, inferential statistics, and data visualization.
โข Data Security and Privacy: Understanding the importance of data security and privacy in the context of online stores, including best practices for protecting sensitive data and complying with data protection regulations.
โข Data-Driven Decision Making: Techniques for using data to inform business decisions in online stores, including identifying key performance indicators, setting goals, and measuring success.
โข Data Visualization Techniques: Best practices for presenting data in a visual format that is easy to understand and interpret, including the use of charts, graphs, and other visualization tools.
โข Data Storytelling: Techniques for using data to tell a compelling story, including the use of narrative structure, data points, and visuals to convey insights and messages.
โข Data Ethics: Understanding the ethical considerations surrounding the use of data in online stores, including issues related to privacy, bias, and fairness.
โข Data Integration and APIs: Overview of data integration techniques and APIs, including how to connect and integrate data from different sources, and how to use APIs to automate data collection.
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