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Product Data Analytics

Product Cyber Security

8 weeks
Beginner - Mid Level
The Product Data Analytics Accelerator is a hands-on, experiential training designed for ambitious creatives, career professionals, and founders who want to make data-driven decisions in product development. You’ll learn how to analyze, interpret, and leverage product data to uncover insights, optimize performance, and drive growth across digital products.

N50k($50).

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  • Deadline: 20th August
  • Classes start 1st August, Live classes: Saturdays: 2PM WAT. and weekday for assignments and meetups.

What you’ll learn

Course structure

Week 1: Product Thinking & Analytics Foundations Focus

  • What is Product Analytics?
  • Product lifecycle and data touchpoints
  • North Star Metrics
  • AARRR funnel (Acquisition → Revenue)
  • Key product metrics (DAU, MAU, retention, churn)
  • Data types in product analytics
  • Intro to datasets and tables
  • Create a Product Metrics Framework for a digital product.

Week 2: Data Tracking & Product Instrumentation

  • Event-based tracking
  • User behavior tracking
  • Event naming conventions
  • Tracking plans
  • Funnels and conversion tracking
  • Design a full analytics tracking plan for an app (e-commerce or fintech).

Week 3: SQL for Product Analytics Focus

  • SQL basics (SELECT, WHERE, ORDER BY)
  • Aggregations (COUNT, SUM, AVG)
  • Joins (INNER, LEFT)
  • Grouping and segmentation
  • Funnel queries

Week 4: Retention analysis basics

  • Python basics for analytics
  • Pandas for data manipulation
  • Cleaning messy product data
  • Exploratory Data Analysis (EDA)
  • Basic statistical insights
  • Build a Python analysis report notebook with insights.

Week 5: Product Metrics & Insight Generation Focus

  • Cohort analysis
  • Retention curves
  • Conversion funnels
  • Segmentation (power users vs casual users)
  • A/B testing basics (conceptual + simple analysis)
  • Insight writing
  • Practical Work

Week 6: Data Modeling for Product Analytics (Engineering Core) Focus

  • What is a data model?
  • Tables and relationships
  • Fact vs dimension tables
  • Event schema design
  • Analytics-friendly databases
  • Data quality principles
  • Create a product analytics data model (schema design).

Week 7:Data Pipelines for Product Analytics Focus

  • What is a data pipeline?
  • ETL vs ELT (light introduction)
  • Data collection from events
  • Cleaning and transforming data
  • Automating analysis workflows (Python)
  • Basic APIs for data extraction
  • Create a mini analytics pipeline in Python.

Week 8: Capstone Project (End-to-End Product Analytics System) Focus

  • Capstone project
  • Demo
  • Graduation

Who Should Apply

People who wan to Land a data Analytics Job as soon as possible. 

Voices of the Hive

In Their Own Words

The ProdotHive experience, in their own words. Hear directly from our satisfied customers.

It was amazing! I learned alot and also understood more about product management. Overall, the experience was great.

Ramlatu Muhammad

Product Manager
The training was an eye-opener to skills like Idea validation and building, Creating user personas, user journey mapping and finding balance between solving user's needs and the satisfaction that comes with the users engaging with the solution. What stood out the most was how each session delivered real value. It was practical, clear, and actionable. Every class with Prodothive felt like a hit I didn’t want to miss. The program helped me understand how to validate ideas and structure them into workable MVPs. It was truly worth every minute spent, and I’m grateful to have been part of such an impactful journey.

Aremo Adeola Abosede

Product Manager
The ProdotHive Ideas to MVP training has been one of the best experiences I have had this year. It helped me clearly understand what it really takes to build a solid product. After trying and failing as a solo founder, I finally saw where I was going wrong. Thanks to ProdotHive, I now have the clarity, tools, and mindset to move my ventures forward the right way. Highly recommended for any founder serious about building something real.

Mac-collins Lawal

Product Manager
It was amazing! I learned alot and also understood more about product management. Overall, the experience was great.

Ramlatu Muhammad

Product Manager
I had hands on practical experience that made me realize that I can do alot more than I thought I could. The training was perfect. I can't wait for more trainings like this.

OLIVIA CHINENYE ODOEMENA

Product Analyst

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