Cohort analysis is a study that focuses on the activities of a particular cohort. A cohort is a group of people who share a common characteristic over a certain period of time.

cohorts.py makes generating cohort analysis from raw data a magical experience

Flowchart is a STATA module/package that generates publication-quality Subject Disposition Flowchart Diagrams in LaTeX Format. This package generates PGF/TikZ code through texdoc, compiled in LaTeX to produce the diagram as a PDF. The final diagram is the same in style as ones used in the PRISMA Statement, CONSORT 2010 Statement, or STROBE State…

Return on Investment is an out of the box python package for maketing analytics. The first release focuses on cohort analysis. The plan is to slowly include more analysis, as the package grows.

retention rates by cohorts for online retailer

A cohort analysis of taxi user retention

Python code that predicts which course a student will register for based on their previous registration history.

Algorithmic Marketing based Project to do Customer Segmentation using RFM Modeling and targeted Recommendations based on each segment

In this project, an analysis of the investment process of the investor will be carried out. Data exploration, Data manipulation, Analysis of the investment process, Analyze the time until the first investment and Invest retention analysis

Identifying factors that resulted in Customer Churn

Cohort graph (Cohort Analysis)

Jupyter Notebook Praktikum Projects. This is repository with data analyst educational projects from Yandex.Praktikum.

This repository contains projects I did during my membership in DQLab academy.

Creating a Retention Cohort Analysis in Python

This repository contains work I did to explore e-commerce data and to better understand the customers and their purchasing behavior and patterns.

Customer Segmentation Analysis, developed using Python, by using Clustering Algorithm for the purpose of dividing the customers into groups based on the similarity in different ways that are relevant to marketing such as location, items, spending score, salary and accordingly identify customers’ behavior and interests and focus on them for futur…

Build a RFM (Recency Frequency Monetary) model for Retail Customers

Custom Cohort Visualization based on Kibana NP