PacktPublishing / Statistics-for-Data-Science-and-Business-Analysis-V-Links
Statistics for Data Science and Business Analysis, published by Packt
☆27Updated 2 years ago
Alternatives and similar repositories for Statistics-for-Data-Science-and-Business-Analysis-V-
Users that are interested in Statistics-for-Data-Science-and-Business-Analysis-V- are comparing it to the libraries listed below
Sorting:
- Practical Data Science with Python, published by Packt☆134Updated last month
- Python Data Cleaning Cookbook, published by Packt☆269Updated last month
- Python Data Analysis, Third Edition, Published by Packt☆208Updated last month
- ☆62Updated last month
- Hands-On Data Preprocessing in Python, published by Packt☆203Updated last month
- A New Interactive Approach to Learning Data Analysis☆73Updated last month
- Exploratory Data Analysis with Python Cookbook, published by Packt☆92Updated last month
- ☆123Updated last month
- The Pandas Workshop, published by Packt☆92Updated last month
- Code Repository for Data Analysis with Pandas and Python(v), Published by Packt☆64Updated 6 months ago
- Resources for Advancing into Analytics: From Excel to R and Python by George Mount (O'Reilly Media, 2021)☆224Updated last year
- ☆189Updated 3 years ago
- Perform fast and efficient data analysis with the power of SQL☆291Updated last year
- Pandas Cookbook Second Edition, published by Packt☆293Updated 2 years ago
- Code repository for the book SQL for Data Analysis☆569Updated 3 months ago
- Files for my "Pandas Workout" book☆95Updated last year
- All important Python tools a Data Engineer needs☆27Updated last year
- Learning Tableau 2020, published by Packt☆62Updated last month
- Python Machine Learning By Example Third Edition, published by Packt☆210Updated last month
- Python for Data Analysis: step-by-step with projects, by Packt Publishing☆73Updated last month
- Python-based Jupyter notebooks, notes, and project solutions from DataCamp courses on data science, machine learning, and statistics.☆92Updated last year
- A New, Interactive Approach to Learning Data Science☆238Updated last month
- ☆131Updated last month
- My current data engineering portfolio. Includes projects spanning ETL, orchestration and dashboarding.☆116Updated last year
- Python Data Cleaning Cookbook, Second Edition - Published by Packt☆51Updated last month
- This repo is for the Linkedin Learning course: Hands-On Introduction: Data Engineering☆65Updated last year
- This is the Seaborn cheat sheet I made to go along with my Seaborn Tutorial Series☆141Updated 2 years ago
- Cleaning Data for Effective Data Science, published by Packt☆101Updated last month
- Mastering Big Data Analytics with PySpark, Published by Packt☆161Updated last year
- ☆217Updated 10 months ago