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Mastering Data Analysis | Optimizing E-Commerce Promotions with Data Analysis: A Step-by-Step Guide
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Mastering Probability and Statistics in Python - Mastering Data Analysis | Optimizing E-Commerce Promotions with Data Analysis: A Step-by-Step Guide

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What you'll learn

This course includes

  • 30.3 hours of video
  • Certificate of completion
  • Access on mobile and TV

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Course link: https://aicourse.thinkific.com/courses/excel-and-power-bi-for-data-analysis-from-basics-to-brill In this video, we explore how data analysis can transform your e-commerce business by optimizing promotion strategies.Join us as we follow Adam, a data analyst, through a structured 7-step approach to understanding customer purchase behavior. 📊 Data Collection: Gathering vital customer transaction data, including age, gender, location, purchase history, spending patterns, and website interactions. 🧹 Data Cleaning: Removing inconsistencies, handling missing values, and eliminating duplicate entries to ensure data accuracy. 📈 Data Analysis: Understanding the distribution of purchase amounts and analyzing correlations between variables such as age and spending. 🧩 Customer Segmentation: Grouping customers based on similarities like spending habits, promotion response, and product category engagement. 🔍 Behavior Analysis: Identifying trends within specific age groups and product categories to tailor promotions effectively. 💡 Decision Making: Providing data-driven recommendations to the marketing team to optimize campaign targeting and improve customer engagement. 🔄 Iterative Improvement: Continuously adapting strategies based on new data to stay ahead of changing customer behaviors and market trends. Learn how to leverage data to boost your e-commerce sales and enhance customer satisfaction. Don't forget to like, comment, and subscribe for more insights into data-driven marketing strategies! ✅ Stay Connected to Us. 👉 Twitter: https://twitter.com/AISciencesLearn 👉 Facebook: https://www.facebook.com/AISciencesLearn 👉 LinkedIn: http://www.linkedin.com/company/ai-sciences 👉 Website: http://www.aisciences.io ✅ For Business Inquires: contact@aisciences.io ============================= ✅ Important Python Projects: 👉 Get a look at our course on data science and AI here: https://bit.ly/3thtoUJ ✅ Recommended Playlists: 👉 Artificial Intelligence https://www.youtube.com/playlist?list=PLVgEzPHodXi0tO_iLwoZcEXiFPekTZlyj 👉 Machine Learning https://www.youtube.com/playlist?list=PLVgEzPHodXi01AWPo06GOsM-ba_e1PJ1l ✅ Other Videos You Might Be Interested In Watching: 👉 Simplest Password Cracker Using Python | Tips and Tricks | Most Easy https://www.youtube.com/watch?v=EmwmbahsM_E 👉 Build Facebook's Wav2Vec2 Model For Speech To Text Application | Easy Python Tutorial https://www.youtube.com/watch?v=t_qDAqUfqhY 👉 Fake Currency Detection Using Logistic Regression Model | Python | Tutorial For Beginners https://www.youtube.com/watch?v=dJO69JzldmQ 👉 Question Answering Bot | AI Based | with Hugging Face Transformers | Python https://www.youtube.com/watch?v=s4rV6Wyp23A ============================= ✅ About AI Sciences. AI Sciences is an e-learning company; the company publishes online courses and books about data science and computer technology for anyone, anywhere. We are a group of experts, Ph.D. students, and young practitioners of artificial intelligence, computer science, machine learning, and statistics. Some of us work for big-name companies like Google, Facebook, Microsoft, KPMG, BCG, and Mazars. We decided to produce courses and books mainly dedicated to beginners and newcomers on the techniques and methods of machine learning, statistics, artificial intelligence, and data science. Initially, our objective was to help only those who wish to understand these techniques more easily and to be able to start with less theory or lengthy reading. Today, we publish more complete books on selected topics for a wider audience. 🔔 Subscribe To our Channel For More Content of Data Science, Machine Learning, and AI: https://www.youtube.com/@AISciencesLearn ================================= #predictionofsocialmediafollowers #socialmediafollowersbymachinelearning #socialmediamarketing #socialmediamarketingforbeginners Disclaimer: We do not accept any liability for any loss or damage which is incurred by you acting or not acting as a result of watching any of my publications. You acknowledge that you use the information I provide at your own risk. Do your own research. Copyright Notice: This video and my YouTube channel contain dialog, music, and images that are the property of AI Sciences. You are authorized to share the video link and channel and embed this video in your website or others as long as a link back to my Youtube Channel is provided. © AI Sciences

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