Data Science

Learn more about what we do

Data Scientist

A person who creates bridges between raw data and analysis, making it accessible. It is a democratizing role as it brings data to ordinary people, making the world a little better step by step
- Dr. César R. García Jacas, 2020

Data Science

What does a data scientist explore? Here you'll find some useful resources I will be collecting.

Python

For mac

You'll need Homebrew up and running, download it from GitHub on your Terminal, writing this in a single line:
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install.sh)"
then you can download a lot of packages ready to install. Follow this guide to install the last stable Python version

Python

Kaggle

Code hosting platform

A subsidiary of Google LLC, is an online community of data scientists and machine learning practitioners. Kaggle allows users to find and publish data sets, explore and build models in a web-based data-science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges. Kaggle offers a no-setup, customizable, Jupyter Notebooks environment. Access free GPUs and a huge repository of community published data & code.

Find me

Data Science Stack Exchange

part of the Stack Exchange network

Designed for Data science professionals, it's built and run by the community to develop a library of detailed answers to every question about Data Science.
Begin the journey to expertise here, create a user, ask some good questions, answer some others, build a reputation, and start to earn some badges and privileges. Mi user: 106583

https://datascience.stackexchange.com

Anaconda

Cloud

Anaconda was built by data scientists for data scientists. Anaconda is a open-source distribution of the Python and R programming languages for scientific computing (data science, machine learning applications, large-scale data processing, predictive analytics, etc.), that aims to simplify package management and deployment. The distribution includes data-science packages suitable for Windows, Linux, and macOS.

Anaconda

WEKA

The workbench for machine learning

Weka is tried and tested open source machine learning software that can be accessed through a graphical user interface, standard terminal applications, or a Java API. It is widely used for teaching, research, and industrial applications, contains a plethora of built-in tools for standard machine learning tasks, and additionally gives transparent access to well-known toolboxes such as scikit-learn, R, and Deeplearning4j.

Weka

KNIME

Analytics Platform

KNIME is the open source software for creating data science. Intuitive, open, and continuously integrating new developments, makes understanding data and designing data science workflows and reusable components accessible to everyone.

KNIME

Inspiring or so

Logic is the hygiene the mathematician practices to keep his ideas healthy and strong.

Hermann Weyl (1885–1955)

In God we trust, all others bring data

William E. Deming (1900-1993)

Without data you are just a person with an opinion.

William E. Deming (1900-1993)