GenAI for Digital Marketing and Ecommerce Analysts

In today's fast-paced e-commerce world, staying one step ahead is key to success. The "Gen AI for Digital Marketing and E-commerce Analyst" course is designed to equip digital marketers and e-commerce analysts with the knowledge and skills needed to effectively use generative artificial intelligence for data analysis and decision-making. Through a combination of discussions, video demonstrations, and practical exercises, participants will gain a clear understanding of how GenAI can enhance the efficiency of data collection and analysis for successful business operations. This course caters to a diverse group of learners, including beginners in e-commerce analytics and digital marketing seeking to enhance their analytical capabilities with AI. It's ideal for junior analysts and marketers wanting to integrate AI tools into their workflows, as well as small business owners and entrepreneurs looking to leverage AI for better business insights and a competitive edge. This broad range of participants fosters a dynamic learning environment where varied experiences and insights are shared. Participants should have a fundamental understanding of digital marketing, e-commerce, and data analysis, including familiarity with basic data collection, processing, and analysis techniques. Experience with tools like Google Analytics 4, Google Cloud Platform, Google Sheets, and Looker Studio is beneficial. An open mindset and willingness to experiment with Generative AI (GenAI) tools are essential. While deep technical training isn't required, prior exposure to data analysis will help in better absorbing and applying the course material. By the end of the course, learners will have a comprehensive understanding of GenAI's role in digital marketing and e-commerce analytics. They will recognize the importance of GenAI, its data collection and processing capabilities, and real-world applications. Participants will analyze key indicators, apply best practices for data analysis, forecasting, and visualization, and plan GenAI implementation in their businesses. Additionally, they will assess the benefits of GenAI, its impact on business goals, and identify steps for further skills development.