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Quick Facts

Medium Of InstructionsMode Of LearningMode Of Delivery
EnglishSelf StudyVideo and Text Based

Courses and Certificate Fees

Certificate AvailabilityCertificate Providing Authority
yesCoursera

Product Analytics and AI Fees structure is as follows:

Description

Amount 

Course Fees (1 Month)

₹ 6,638/- 

Course Fees (3 Month)

₹ 13,276 /- (4,425 per month)

Course Fees (6 Month)

₹ 19,915 /- (3,319 per month)


The Syllabus

Videos
  • Intentional Iteration
  • Science for the Win
  • Recap: Hypothesis-Driven Development
  • Getting Outside the Building with Trent the Technician
  • Describing the Customer Journey for Testability: Trent the Technician
  • Focal Point: The User Journey
  • Your Analytics Portfolio
  • Designing Actionable Inferences: DV's, IV's, and Causality
  • Testing with Retrospective Experiment Patterns
  • Testing with Prospective Experiment Patterns
  • Understanding Enough about Statistics for Now
  • Separating Laggards vs. Innovators: The Two Ways to be Wrong and the Two Ways to be Right
Reading
  • Course Overview & Requirements
Assignments
  • Introduction and Customer Analytics
  • Customer Analytics
Discussion prompts
  • Tools & Tips for Story Mapping
  • Focal Points: Trent the Technician
  • Looking Forward to Upcoming Topics

Videos
  • Lean Startup and the Demand Hypothesis
  • Demand Testing at Enable Quiz
  • Designing Experiments
  • Experiment Design with MVPs
  • Designing User Habits: The Hook Framework
  • Five Experiment Charters
  • The Fake Feature Test•4 minutes
  • Testing Features: Running the Experiment
  • Testing Funnels
  • Testing Cohorts
  • Experiment Design: Testing a Coding Course for Designers & Managers
  • Experiment Execution: Testing a Coding Course for Designers & Managers
  • Diverging Your Ideas with Generative AI
  • Interview: Laura Klein on Practice of Lean UX
Assignments
  • Testing Demand and Experiment Patterns
  • Testing Motivations with MVPs
  • Experiments
  • Testing Features
Discussion prompt
  • Fake Feature Tests & Your Experience

Videos
  • Analytics All the Time
  • Qualitative Usability Testing
  • The Test You Already Have
  • Pairing Your User Stories with Analytics: Trent the Technician
  • Getting Outside the Building With Ivan the Inside Salesperson
  • Pairing Your User Stories with Analytics: Ivan the Inside Salesperson
  • Analyzing Dependent Variables with Google Analytics
  • Google Analytics: The Littlest Overview
  • From Design to Code: Trent the Technician
  • From Code to Analytics: Trent the Technician
  • A/B Testing
  • Mapping Analytics: Ivan the Inside Salesperson
  • Designing, Coding, and Testing: Ivan the Inside Salesperson
  • From Inference to Product Priorities: Four Sprints with HinH
  • Pushing Yourself on Comparables with Generative AI
Assignments
  • Qualitative and Quantitative Analytics
  • Testing Analytics
  • User Stories & Analytics
  • A/B Testing
Peer review
  • Creating a Testable Solution
Discussion prompts
  • Google Analytics & Alex's Website
  • Tools & Tips for A/B Testing

Videos
  • What is Data Science?
  • Data Science and Generative AI
  • Product Jobs-to-be-Done and Your AI Portfolio
  • Facilitating Collaboration with Your Data Science Team
  • Interview: Drew Conway on Data Science
  • Interview: Drew Conway’s Data Science Journey
  • Maturing Your Analytics & AI Capability
  • Interview: Casey Lichtendahl: Data Science and You
  • Interview: Casey Lichtendahl: Closer Look at the Work of Data Science
  • Interview: Casey Lichtendahl: Data at Rest vs. Data in Motion
  • Generative AI IRL: the Jedburgh App's
  • Data Science IRL: Intro to the Casino Jack Case
  • Data Science IRL: Data Wrangling and Exploratory Analysis
  • Data Science IRL: Testing Hypotheses and Designing Interventions
  • Course Close
Assignments
  • Analytics and Data Science
  • Data Science
  • Data Executions
  • Data Science IRL
Discussion prompts
  • Data Science & Your Experience
  • Tips for Working with a Data Science Team

Instructors

Articles

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