Product Data Scientist A to Z

What is it?

Big tech companies use Product Science or Analytics to determine the best ways to enhance their features to meet business goals.

What you can expect

Comprehensive modules covering various aspects of product analytics.

Learn from industry experts with hands-on experience.

Real-life case studies and practical exercises to enhance your skills and build your portfolios.

What we will go through

Lesson 1 - Introduction to Product Science

• Identifying business objectives

• Product Lifecycle

Lesson 3 - Experiment Design

Lesson 4 - Experiment Evaluation

Lesson 5 - Interpreting Result

• Different type of experiments

• Identifying hypothesis

• Choosing metrics

• Audience targeting

• Sample size calculation

• Significance level

• Statistical power

• Experiment duration

• Experiment method

• User selection bias

• Sample ratio mismatch

• Novelty effect

• Simpson's Paradox

• Launch decision

• Confidence Interval interpretation

Lesson 2 - Product Tracking

• Introduction to analytics tracking

• Tracking specifications document

• Analytics tracking quality checks

Lesson 6 - Interview QnA

• Basic knowledge of Python

Pre-requisite

• Frequently asked questions during interviews and case studies

• Frameworks to answer experiment questions

Register for Free Info Session

Monday, 8 April 2024

Time: 8 to 9 PM SGT