joshuasmart-olufemi Goto Github PK

abstractions

SQL views for Dune Analytics

airflow-tutorial

Apache Airflow tutorial

analytics

attribution-playbook

candidate-coding-challenges

churn-model

Develop a predictive model using Python to automatically notify a company 90 days before a customer is due to churn, i.e. when a customer’s churn propensity exceeds a specific threshold, say 0.7

corise-dagster

corise-r-for-ds

CoRise | R for Data Science

da_githubcodespace

data-engineering-zoomcamp

Free Data Engineering course!

data_engineering_dbt_project

dataanalysisprojects

This contains data analysis projects

dbt-jinja-cheatsheet

Jinja cheatsheet for dbt development

dbt-learn-on-demand

dbt-market-attribution

The goal of this project is to determine how many NEW signups, demo requests, trials, paid workspaces, and monthly recurring revenue are being driven by a particular UTM campaign, medium, and/or source over any given time frame. A first-touch attribution model is preferred but other approaches are welcome.

dbt-model-building-project

A project to build data marts for different departments of a business from scratch, validating business logic using dimensional modelling and dbt tests, and building product sales funnel to determine drop-offs in customer engagement during the entire attribution process

dbt-mrr-ltv-analysis

Using data build tool (dbt) to carry out data analysis on Monthly Recurring Revenue and Customer Lifetime Value

docs.getdbt.com

The code behind docs.getdbt.com

donor-work-project

You have been hired to deliver actionable insight to support your client who is a national charitable organization. The client seeks to use the results of a previous postcard mail solicitation for donations to improve outcome in the next campaign. You want to determine which of the individuals in their mailing database have characteristics similar to those of your most profitable donors. By soliciting only these people, your client can spend less money on the solicitation effort and more money on charitable concerns. You have been provided two data sets: A. Donor Raw Data: this is a historical data, containing previous donor details. Target B column, provides information whether they have donated in past campaign or not. B. Prospective Donors: this is a list of new contact; your client is interested in reaching out to in the next campaign they intend to carry out soon. You are required to deliver a ten-page PowerPoint presentation of your actionable recommendation to help the client identify which prospects they should focus their next campaign on.

fb-prophet-dataset

forecasting-arima-with-python

hipages_

implicit-method-recommendation-engine

Build a recommendation engine solution, i.e. a solution that will automatically recommend a product to a customer based on their purchase history.

joshuasmart-olufemi

lightdash-demo

mage-zoomcamp

This repository will contain all of the resources for the Mage component of the Data Engineering Zoomcamp: https://github.com/DataTalksClub/data-engineering-zoomcamp/tree/main

market-basket-analysis-with-association-apriori

new_folder

new_project

nlp-twittersentiment-analysis

Natural Language Processing using sentiment analysis was sued to address how Twitter users felt about the documentary, #Sex4Grades by Emmy-nominated journalist, Kiki Mordi