Alternatives and similar repositories for Doordash-Analytics

Users that are interested in Doordash-Analytics are comparing it to the libraries listed below

• EcZachly / personal-health-analytics
  This repo is meant to make it really easy to analyze the interplays between health and social media use.
  ☆45Updated 3 years ago
• kislerdm / data-engineering-interviews
  Data engineering interviews Q&A for data community by data community
  ☆64Updated 5 years ago
• melvfnz / data_science_portfolio
  Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.
  ☆82Updated 7 years ago
• chen-bowen / Data_Science_Portfolio
  Portofolio repository for Udacity Data Scientist Nanodegree
  ☆42Updated 5 years ago
• BenSchr / Udacity-Data-Engineering-Projects
  My solutions for the Udacity Data Engineering Nanodegree
  ☆34Updated 5 years ago
• Strata-Scratch / csv_to_db_automation
  Python script that automates CSV file imports to a postgres database
  ☆56Updated 3 years ago
• shravan-kuchkula / dataEngineering
  A repo to track data engineering projects
  ☆13Updated 2 years ago
• VyuWing-Learning / Data-Engineering-Bootcamp-Apache-Spark
  ☆13Updated 3 years ago
• kaburelabs / Data-Engineering-track-with-Python
  All Data Engineering notebooks from Datacamp course
  ☆115Updated 5 years ago
• shawlu95 / Data-Science-Toolbox
  Examples and illustration of basic statistic concepts, probability distribution, Monte Carlo simulation, preprocessing and visualization …
  ☆55Updated 5 years ago
• palitr / Budget-Optimization-in-Ecommerce-using-Market-Mix-Modelling
  To create a market mix model for ElecKart (an e-commerce firm from Ontario, Canada) for several products categories - to observe the actu…
  ☆22Updated 5 years ago
• pappakrishnan / Data-Science-Take-Home-Challenges
  A list of take home challenges for data science interviews I've compiled
  ☆17Updated 7 years ago
• san089 / data-engineer-roadmap
  Learning from multiple companies in Silicon Valley. Netflix, Facebook, Google, Startups
  ☆18Updated 7 years ago
• khuyentran1401 / Python-data-science-code-snippet
  Useful data science and Python code snippets at Data Science Simplified
  ☆72Updated 4 years ago
• TrainingByPackt / Data-Wrangling-with-Python
  Simplify your ETL processes with these hands-on data sanitation tips, tricks, and best practices
  ☆130Updated 3 years ago
• Jay4869 / Data-Science
  Data Science Study Notes + Projects
  ☆21Updated 3 years ago
• susanli2016 / Data-Analysis-with-Python
  Data analysis using numpy, pandas, matplotlib, seaborn, sqlite3, data wrangling
  ☆31Updated 5 years ago
• josephmachado / analytical_dp_with_sql
  Code for my "Efficient Data Processing in SQL" book.
  ☆59Updated last year
• datacamp / Market-Basket-Analysis-in-python-live-training
  Live Training: Market Basket Analysis in Python
  ☆47Updated 5 years ago
• chandu-muthyala / Data-Engineer-Nano-Degree
  Data models, build data warehouses and data lakes, automate data pipelines, and worked with massive datasets.
  ☆13Updated 6 years ago
• hyunjoonbok / PySpark
  PySpark functions and utilities with examples. Assists ETL process of data modeling
  ☆104Updated 4 years ago
• PacktPublishing / Data-Science-for-Marketing-Analytics-Second-Edition
  ☆130Updated 3 weeks ago
• Mooseburger1 / Springboard-Data-Science-Immersive
  ☆63Updated 7 years ago
• pooji0401 / Root-Cause-Analysis
  Used Explanatory Data Analysis to identify the root causes for the delay in delivery in the supply chain management
  ☆13Updated 6 years ago
• pplonski / dashboard-python-jupyter-notebook
  Dashboard in Python with Jupyter Notebook
  ☆44Updated 3 years ago
• mohanakrishnavh / PySpark-Tutorial
  ☆18Updated 7 years ago
• dimgold / ETL_with_Python
  ETL with Python - Taught at DWH course 2017 (TAU)
  ☆103Updated 8 years ago
• itversity / mastering-postgresql
  Content related to Mastering Postgresql along with videos.
  ☆18Updated 4 years ago
• martandsingh / ApacheSpark
  This repository will help you to learn about databricks concept with the help of examples. It will include all the important topics which…
  ☆103Updated this week
• roshankoirala / pySpark_tutorial
  Implementation of Spark code in Jupyter notebook. Topics include: RDDs and DataFrame, exploratory data analysis (EDA), handling multiple …
  ☆30Updated 5 years ago