Flyber

1. Applying Data Science to Product Management

• Data Storytelling

• Exploratory Data Analysis

• Feedback Loops

• Data Augmentation

• Stakeholder Identification

• Probability Distribution

• Chart Types

• Product Proposals

• Data Definition

• Product Kpis

• Product Management Basics

• Experiment Design

• Data Gathering

• Product Goals

• Database Schemas

• SQL Queries

2. Establishing Data Infrastructure

• Data Pipelines

• Data Pipeline Design

• Relational Data Models

• Data Infrastructure Basics

• Data Consumers

• Data Warehouse Management

• Data Wrangling Fundamentals

• Types Of Data

• Event Data Models

• Data Producers

• Big Data Storage

• Product KPI(s)

• Data Privacy Regulations

• Stream Processing

• Data Use-Cases

• Data Security Fundamentals

• Data Storage

• Batch Processing

3. Leveraging Data in Iterative Product Design

• Product KPI(s)

• Cohort Analysis

• Multivariate Testing

• Tableau Visualizations

• A/B Testing

• Experiment Control

• Product Feature Usage Metrics

• Experiment Design

• Data Gathering

• Quantitative Data Analysis

• Data Limitations And Biases

• Interpreting Test Results

• Qualitative User Research

• Iterative Product Design

• Acquisition Funnels

• Qualitative Data Analysis

• Marketing Metrics

• Reach, Impact, Confidence, and Effort (RICE) Framework

• Feature Prioritization

• Behavioral Market Segmentation