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This repository contains the data analytics lessons I took from the clarusway bootcamp between 5 Jan - 4 Aug 2022 and includes 48 sessions, 10 labs, 12 assignments, 12 weekly agendas, and 5 projects.
Segment customers into two main categories—potential customers and churn-risk using RFM metrics Further analysis will be conducted to derive actionable insights for optimizing marketing strategies, retention and increase profit
The ETL process integrates data from various sources into a data warehouse, applying business rules to clean and organize the data for storage, analytics, and machine learning (ML) to support business intelligence, predict outcomes, and improve operational efficiency.
Supplemental material like code, exercises, datasets, notes etc. for my book "The Modern Business Data Analyst: A Case Study Introduction into Business Analytics with CRISP-DM and R"
A collection of data that becomes the central source of information with specific objects in a consistent format is often referred to as a data repository. In a data warehouse, data users can access the repository to gain desired insights through specific analyses.