Скачать или смотреть Lesson 8D - Data Science Components | Learn Descriptive and Predictive Analytics

Discover the essential data science components that every product manager should know! In
this video, we delve into the difference between descriptive and predictive analytics, explore
various tools and techniques, and discuss real-life examples of how data-driven decisions
impact product success. Don't miss out on this insightful discussion!

Why Watch
1. Understand the key concepts of descriptive and predictive analytics for product management.
2. Learn about the tools and techniques used in data science for decision-making.
3. Gain insights from real-life examples and case studies from successful companies.
4. Discover how to integrate data analytics into your product management process effectively.

Chapters
0:00 Introduction
0:25 Descriptive Analytics
1:42 Predictive Analytics
3:06 Importance of AB Testing
4:57 Real-life Examples: Taste Forecasting and Optimization
6:26 The Data Science Framework for Product Managers
8:03 Tools of the Trade
9:27 Discovery, Analysis, and Reporting

Summary
In this video, we explore the fundamental data science components that are crucial for product
managers. We discuss the difference between descriptive and predictive analytics, delve into
the power of AB testing, and examine real-life examples of taste forecasting and optimization.
Additionally, we provide a comprehensive framework for product managers to utilize data
science effectively and highlight the essential tools and techniques needed for successful
decision-making.


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