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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.
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"
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
People analytics, HR analytics, or workforce analytics is the application of analytics to human behavior, particularly in processes, functions, challenges, and opportunities related to people.
This project aims to explain the types of data and their relevance for business purposes, and to present them in a form of visualization that is relevant and easy to understand.
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.
The purpose of this project is to explain useful insights from the digital marketing performance dataset in order to obtain compelling Strategic Digital Marketing Insights.
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.