Udemy – Data Analytics Zero to Hero: 5 Experts from FAANG (Advanced) 2025-11

Updated August 10, 2026 27.45 GB

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Descriptions

Data Analytics Zero to Hero: 5 Experts from FAANG (Advanced), This advanced data analytics program trains learners to apply analytical skills to real-world domains and specialized industries. Through a structured progression covering platform and product data, media analytics, financial analysis, and machine-learning fundamentals, you will work with real datasets, explore practical business scenarios, and use Python-based techniques to solve complex problems across multiple industries.

Modules include using data analysis tools for platform and product data to interpret customer behavior, funnel metrics, and retention; media data analytics for advertising and campaign performance; an introduction to machine learning including supervised and unsupervised methods and model evaluation; financial data analytics focused on revenue patterns, risk indicators and forecasting; and specialized Advanced Python modules for insurance and medical data featuring feature extraction, pattern detection, and risk modeling. By the end of the course you will have hands-on experience with Python, SQL, visualization, and machine-learning workflows and be prepared to apply advanced analytics in platform, media, finance, insurance, and healthcare domains.

What you’ll learn

Develop the ability to analyze large-scale platform and product datasets to extract business-critical insights.
Apply analytical techniques to media data, evaluating campaign performance, engagement, and attribution.
Understand and implement foundational machine-learning concepts, including supervised and unsupervised models.
Use Python to clean, transform, visualize, and model data across multiple domains.
Perform financial data analysis, identifying patterns, risks, trends, and forecasting opportunities.
Conduct advanced Python-based analysis on insurance and medical datasets to uncover domain-specific insights.
Build end-to-end analytical workflows that integrate industry datasets, modeling techniques, and actionable reporting.

Who this course is for

This course is designed for learners who want to advance their data analytics skills using Python, SQL, and machine-learning techniques to analyze real-world platform, media, financial, insurance, and medical datasets.