adashofdata / sql-crash-courseLinks
based on the first chapter of my book, SQL Pocket Guide (O'Reilly)
☆35Updated 3 years ago
Alternatives and similar repositories for sql-crash-course
Users that are interested in sql-crash-course are comparing it to the libraries listed below
Sorting:
- A New Interactive Approach to Learning Data Analysis☆71Updated 2 years ago
- Practical Data Science with Python, published by Packt☆129Updated 2 years ago
- Jupyter notebooks☆114Updated 3 years ago
- Natural Language Processing For Everyone☆135Updated 10 months ago
- Learning Tableau 2020, published by Packt☆61Updated 2 years ago
- Python for Data Analysis: step-by-step with projects, by Packt Publishing☆71Updated 2 years ago
- ☆74Updated 3 years ago
- Resources for the O'Reilly Online Training "Machine Learning from Scratch"☆273Updated 2 months ago
- ☆40Updated last year
- Datasets for ML, Analysis, etc☆62Updated 3 months ago
- ☆120Updated 2 years ago
- A New, Interactive Approach to Learning Data Science☆234Updated 2 years ago
- ☆57Updated 2 months ago
- A Quick, Interactive Approach to Learning Analytics with SQL☆74Updated 4 years ago
- Resources for Machine Learning Pocket Reference☆262Updated 3 years ago
- Beautiful Soup web scraping tutorial☆76Updated 5 years ago
- Conference Material☆36Updated 7 months ago
- Deep Learning From Scratch☆139Updated 2 years ago
- Python Data Analysis, Third Edition, Published by Packt☆205Updated 3 months ago
- Mastering Tableau 2021 published by Packt☆34Updated 2 years ago
- ☆67Updated 3 years ago
- ☆58Updated 3 months ago
- Cleaning Data for Effective Data Science, published by Packt☆99Updated 2 years ago
- ☆46Updated 2 years ago
- ☆195Updated 2 months ago
- The Pandas Workshop, published by Packt☆92Updated 2 years ago
- Object-Oriented Programming in Python☆327Updated 2 months ago
- ☆124Updated last year
- Code Repository for Data Analysis with Pandas and Python(v), Published by Packt☆54Updated 4 months ago
- Python-based Jupyter notebooks, notes, and project solutions from DataCamp courses on data science, machine learning, and statistics.☆91Updated last year