Welcome to Comprehensive Marketing Data Analysis and YouTube Analytics using Python, an in-depth, hands-on course designed to equip you with the practical skills needed to leverage Python for marketing data analysis and analytics across various platforms. This course covers a wide range of topics, from YouTube Analytics and Marketing Data Analysis to more advanced case studies using machine learning in marketing, customer segmentation, churn detection, and AB testing. Whether you're a marketing professional, data analyst, or a Python enthusiast, this course will take you from beginner to advanced levels, empowering you to make data-driven decisions in marketing.
Learning Outcomes:
Collect, process, and analyze marketing data and YouTube insights using Python.
Build and evaluate predictive models to forecast sales, detect churn, and segment customers.
Visualize complex metrics and create maps for geographical insights.
Perform sentiment analysis, network analysis, and AB testing for data-driven marketing decisions.
Requirements:
Basic Python programming knowledge is helpful but not required.
No prior marketing or data analysis experience needed; all concepts are introduced from scratch.
Intended Audience: This course is ideal for aspiring data analysts, marketers, and professionals who want to enhance their Python skills in a marketing context. It offers insights into YouTube Analytics, customer segmentation, and machine learning for marketing, empowering you to excel in the data-driven marketing field.
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