
Kabir Malhotra
Faculty Mentor
Expertise
Digital marketing, analytics, spoken communication, and career coaching
Explore guided programs, thoughtful faculty, and a curriculum designed to help you learn clearly and apply with confidence.
Learners mentored
Growing every cohort
Certified outcomes
Focused programs
Instructor support
Human-first learning
Product Analytics and Growth Metrics gives learners a structured hybrid path with practical projects, checkpoints, and certificate readiness.
A quick overview of the key outcomes and concepts covered in this course.
Product Analytics and Growth Metrics is built for CodeWithKasa learners who need clear lessons, practical assignments, and measurable progress. The course keeps the flow simple: learn the concept, practice it, review the output, and prepare for certification.
Projects and assessments are designed around real workflows so learners can test the platform, track completion, and build confidence.
Explore chapters, lectures, previews, and learning material included in this course.
Metric walkthrough: Analytics problem framing
Dataset orientation: Analytics problem framing
Hands-on query: Analytics problem framing
Dashboard build step: Analytics problem framing
Chart review: Analytics problem framing
Quality checklist: Analytics problem framing
Assignment brief: Analytics problem framing
Resource review: Analytics problem framing
Quiz checkpoint: Analytics problem framing
Presentation drill: Analytics problem framing
Reflection: Analytics problem framing
Metric walkthrough: Analytics problem framing
Metric walkthrough: Metric definition and ownership
Dataset orientation: Metric definition and ownership
Hands-on query: Metric definition and ownership
Dashboard build step: Metric definition and ownership
Chart review: Metric definition and ownership
Quality checklist: Metric definition and ownership
Assignment brief: Metric definition and ownership
Resource review: Metric definition and ownership
Quiz checkpoint: Metric definition and ownership
Presentation drill: Metric definition and ownership
Reflection: Metric definition and ownership
Metric walkthrough: Data cleaning workflow
Dataset orientation: Data cleaning workflow
Hands-on query: Data cleaning workflow
Dashboard build step: Data cleaning workflow
Chart review: Data cleaning workflow
Quality checklist: Data cleaning workflow
Assignment brief: Data cleaning workflow
Resource review: Data cleaning workflow
Quiz checkpoint: Data cleaning workflow
Presentation drill: Data cleaning workflow
Reflection: Data cleaning workflow
Metric walkthrough: Data cleaning workflow
Metric walkthrough: Spreadsheet modeling
Dataset orientation: Spreadsheet modeling
Hands-on query: Spreadsheet modeling
Dashboard build step: Spreadsheet modeling
Chart review: Spreadsheet modeling
Quality checklist: Spreadsheet modeling
Assignment brief: Spreadsheet modeling
Resource review: Spreadsheet modeling
Quiz checkpoint: Spreadsheet modeling
Presentation drill: Spreadsheet modeling
Reflection: Spreadsheet modeling
Metric walkthrough: SQL for reporting
Dataset orientation: SQL for reporting
Hands-on query: SQL for reporting
Dashboard build step: SQL for reporting
Chart review: SQL for reporting
Quality checklist: SQL for reporting
Assignment brief: SQL for reporting
Resource review: SQL for reporting
Quiz checkpoint: SQL for reporting
Presentation drill: SQL for reporting
Reflection: SQL for reporting
Metric walkthrough: SQL for reporting
Metric walkthrough: Dashboard layout planning
Dataset orientation: Dashboard layout planning
Hands-on query: Dashboard layout planning
Dashboard build step: Dashboard layout planning
Chart review: Dashboard layout planning
Quality checklist: Dashboard layout planning
Assignment brief: Dashboard layout planning
Resource review: Dashboard layout planning
Quiz checkpoint: Dashboard layout planning
Presentation drill: Dashboard layout planning
Reflection: Dashboard layout planning
Metric walkthrough: Chart selection and storytelling
Dataset orientation: Chart selection and storytelling
Hands-on query: Chart selection and storytelling
Dashboard build step: Chart selection and storytelling
Chart review: Chart selection and storytelling
Quality checklist: Chart selection and storytelling
Assignment brief: Chart selection and storytelling
Resource review: Chart selection and storytelling
Quiz checkpoint: Chart selection and storytelling
Presentation drill: Chart selection and storytelling
Reflection: Chart selection and storytelling
Metric walkthrough: Chart selection and storytelling
Metric walkthrough: Cohort and funnel analysis
Dataset orientation: Cohort and funnel analysis
Hands-on query: Cohort and funnel analysis
Dashboard build step: Cohort and funnel analysis
Chart review: Cohort and funnel analysis
Quality checklist: Cohort and funnel analysis
Assignment brief: Cohort and funnel analysis
Resource review: Cohort and funnel analysis
Quiz checkpoint: Cohort and funnel analysis
Presentation drill: Cohort and funnel analysis
Reflection: Cohort and funnel analysis
Metric walkthrough: Product usage metrics
Dataset orientation: Product usage metrics
Hands-on query: Product usage metrics
Dashboard build step: Product usage metrics
Chart review: Product usage metrics
Quality checklist: Product usage metrics
Assignment brief: Product usage metrics
Resource review: Product usage metrics
Quiz checkpoint: Product usage metrics
Presentation drill: Product usage metrics
Reflection: Product usage metrics
Metric walkthrough: Product usage metrics
Metric walkthrough: Business KPI reviews
Dataset orientation: Business KPI reviews
Hands-on query: Business KPI reviews
Dashboard build step: Business KPI reviews
Chart review: Business KPI reviews
Quality checklist: Business KPI reviews
Assignment brief: Business KPI reviews
Resource review: Business KPI reviews
Quiz checkpoint: Business KPI reviews
Presentation drill: Business KPI reviews
Reflection: Business KPI reviews
Metric walkthrough: Data quality checks
Dataset orientation: Data quality checks
Hands-on query: Data quality checks
Dashboard build step: Data quality checks
Chart review: Data quality checks
Quality checklist: Data quality checks
Assignment brief: Data quality checks
Resource review: Data quality checks
Quiz checkpoint: Data quality checks
Presentation drill: Data quality checks
Reflection: Data quality checks
Metric walkthrough: Data quality checks
Metric walkthrough: Stakeholder presentation
Dataset orientation: Stakeholder presentation
Hands-on query: Stakeholder presentation
Dashboard build step: Stakeholder presentation
Chart review: Stakeholder presentation
Quality checklist: Stakeholder presentation
Assignment brief: Stakeholder presentation
Resource review: Stakeholder presentation
Quiz checkpoint: Stakeholder presentation
Presentation drill: Stakeholder presentation
Reflection: Stakeholder presentation
Metric walkthrough: Automation basics
Dataset orientation: Automation basics
Hands-on query: Automation basics
Dashboard build step: Automation basics
Chart review: Automation basics
Quality checklist: Automation basics
Assignment brief: Automation basics
Resource review: Automation basics
Quiz checkpoint: Automation basics
Presentation drill: Automation basics
Reflection: Automation basics
Metric walkthrough: Automation basics
Metric walkthrough: Performance tuning
Dataset orientation: Performance tuning
Hands-on query: Performance tuning
Dashboard build step: Performance tuning
Chart review: Performance tuning
Quality checklist: Performance tuning
Assignment brief: Performance tuning
Resource review: Performance tuning
Quiz checkpoint: Performance tuning
Presentation drill: Performance tuning
Reflection: Performance tuning
Metric walkthrough: Capstone dashboard
Dataset orientation: Capstone dashboard
Hands-on query: Capstone dashboard
Dashboard build step: Capstone dashboard
Chart review: Capstone dashboard
Quality checklist: Capstone dashboard
Assignment brief: Capstone dashboard
Resource review: Capstone dashboard
Quiz checkpoint: Capstone dashboard
Presentation drill: Capstone dashboard
Reflection: Capstone dashboard
Metric walkthrough: Capstone dashboard
Metric walkthrough: Insight writing review
Dataset orientation: Insight writing review
Hands-on query: Insight writing review
Dashboard build step: Insight writing review
Chart review: Insight writing review
Quality checklist: Insight writing review
Assignment brief: Insight writing review
Resource review: Insight writing review
Quiz checkpoint: Insight writing review
Presentation drill: Insight writing review
Reflection: Insight writing review
Metric walkthrough: Analytics problem framing
Dataset orientation: Analytics problem framing
Hands-on query: Analytics problem framing
Dashboard build step: Analytics problem framing
Chart review: Analytics problem framing
Quality checklist: Analytics problem framing
Assignment brief: Analytics problem framing
Resource review: Analytics problem framing
Quiz checkpoint: Analytics problem framing
Presentation drill: Analytics problem framing
Reflection: Analytics problem framing
Metric walkthrough: Analytics problem framing
Metric walkthrough: Metric definition and ownership
Dataset orientation: Metric definition and ownership
Hands-on query: Metric definition and ownership
Dashboard build step: Metric definition and ownership
Chart review: Metric definition and ownership
Quality checklist: Metric definition and ownership
Assignment brief: Metric definition and ownership
Resource review: Metric definition and ownership
Quiz checkpoint: Metric definition and ownership
Presentation drill: Metric definition and ownership
Reflection: Metric definition and ownership
Important information about course format, level, certificate, and learning resources.
Course Type
Blended course
Certificate
Certificate after attendance, assignment review, and final assessment
Exams
Final assessment required for certification
Duration
7 weeks
Experience Level
Intermediate
Study Material
Downloadable notes, project checklists, practice tasks, quiz prompts, and refere...
Additional Book
Product Analytics and Growth Metrics Practice Workbook
Categories
Data Analytics, Hybrid
Tags
Certificate, Live Classes, Product, Data Analytics
Language
English
Review the requirements, eligibility, and important notes before starting this course.
Laptop or desktop, stable internet connection, modern browser, and VS Code where coding practice is required.
No degree requirement. Learners should commit time for weekly practice and assignments.
Learner outcome depends on regular practice, project completion, attendance where applicable, and assessment performance.
Meet the instructor guiding this course with practical experience and subject depth.

Faculty Mentor
Expertise
Digital marketing, analytics, spoken communication, and career coaching
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Real stories and learning experiences from students of this course.

CodeWithKasa Student at Junior Developer
The hybrid learning flow in Product Analytics and Growth Metrics helped me stay consistent, complete practice tasks, and understand exactly what was pending before certification.
Clear answers to the practical doubts learners usually have about this program.
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