/SE_LU_49-Productivity_tools_for_data_science

Material for the CODE's learning unit SE_LU_49 - Productivity tools for data science

Primary LanguageJupyter Notebook

SE_LU_49-Productivity_tools_for_data_science

Florencia Noriega

SE Lecturer

Email: florencia.noriega@code.berlin

Slack: @code_florencia

slack channel: #-se_lu_49-datasci

Abstract

With the growing generation of data, making sense of it has become a paramount need. Data science is concerned with extracting information from data. Its scope is not limited to a particular field — in banking, ecology and cosmology, data science is bringing a great deal of knowledge.

This workshop will present some Python tools, frequently used in data science including the Jupyter notebook, Numpy, Matplotlib among others.

Aimed for people interested in

  • Productivity tools for data science in python
  • Best practices for data manipulation and visualisation
  • Relevant to modules: SE_16, SE_25

Format

Short lecture like units inter-spaced with exercises.

Requirements

  • Basic knowledge of Python
  • A computer with Python 3, Jupyter notebook and the Python modules: Numpy, Matplotlib, Pandas and Seaborn
  • Join the slack channel #-se_lu_49-datasci

The material of this workshop is highly based in the courses Python-Course and Introduction to programming with python.