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https://github.com/Victoriapm/awesome-analytics-engineering

Awesome list of resources for analytics engineers
https://github.com/Victoriapm/awesome-analytics-engineering

List: awesome-analytics-engineering

Last synced: about 2 months ago
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Awesome list of resources for analytics engineers

Host: GitHub
URL: https://github.com/Victoriapm/awesome-analytics-engineering
Owner: Victoriapm
Created: 2021-12-02T21:04:03.000Z (over 2 years ago)
Default Branch: main
Last Pushed: 2021-12-02T22:38:48.000Z (over 2 years ago)
Last Synced: 2024-05-07T12:05:01.916Z (about 2 months ago)
Size: 11.7 KB
Stars: 19
Watchers: 1
Forks: 2
Open Issues: 0
Metadata Files:
- Readme: README.md
- Contributing: contributing.md

Lists

Data-Science - awesome-analytics-engineering

README

        
![image](https://user-images.githubusercontent.com/4315804/144508962-3bebbc56-12cd-47d6-85d8-017ea5c58aea.png)

[![Awesome](https://awesome.re/badge-flat.svg)](https://awesome.re)

![GitHub last commit](https://img.shields.io/github/last-commit/victoriapm/awesome-analytics-engineering)

Curated an organized learning path with the best learning resources to grow as an Analytics Engineer. 

# Table of contents

## What is analytics engineering? 

## Databases and data modeling 

- [Database Systems - MIT course](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-830-database-systems-fall-2010/): This course covers the foundations of database systems

## Programming

### Fundamentals 

### SQL

- [Intro to SQL: Querying and managing data](https://www.khanacademy.org/computing/computer-programming/sql)

- 

### Python

- [Interactive Python tutorial website](http://www.learnpython.org/)

- [numpy](http://www.numpy.org/) 

- [pandas: powerful Python data analysis toolkit](https://github.com/pandas-dev/pandas)

- [Jupyter Notebook](https://jupyter.org/)

- [Data Analysis with Python](https://www.freecodecamp.org/learn/data-analysis-with-python/)

### Debugging 

### Testing 

## Tools 

### Cloud Data Warehousing 

### dbt

### Looker

### git & GitHub

- [About git](https://docs.github.com/en/get-started/using-git/about-git)

- [GitHub Learning lab](https://lab.github.com/)

- [Git and Git Flow Cheat Sheet](https://github.com/arslanbilal/git-cheat-sheet#readme)

### bash

## Community

### Conferences

- [Data council](https://www.datacouncil.ai/why-attend)

- [coalesce - The Analytics Engineering Conference](https://coalesce.getdbt.com/)

### Podcasts

## Other awesome repositories

This repo was inspired by many other truly awesome repos

- [Awesome dbt](https://github.com/Hiflylabs/awesome-dbt)

- [Awesome big data](https://github.com/0xnr/awesome-bigdata)

- [Awesome database Learning](https://github.com/pingcap/awesome-database-learning)

- [Awesome data engineering Learning](https://github.com/snird/awesome-data-engineering-learning)

- [Awesome data engineering](https://github.com/igorbarinov/awesome-data-engineering)

- [Awesome analytics](https://github.com/0xnr/awesome-analytics)

- [Awesome leading and managing](https://github.com/LappleApple/awesome-leading-and-managing)

- [Awesome engineering team management](https://github.com/kdeldycke/awesome-engineering-team-management)

- [Awesome CTO](https://github.com/kuchin/awesome-cto)

- [Awesome code review](https://github.com/joho/awesome-code-review#readme)

## Getting the analytics engineering job

## Practice

- [Basic dbt project](https://github.com/Victoriapm/dbt-basics-workshop)

- [Leetcode](https://leetcode.com/)

- [HackerRank](https://www.hackerrank.com/)

# Contributing

We welcome and apprecciate contributions! You can find more information in the [contribution guidelines](contributing.md).

# License