Big Data & Data Science training

Duration 3 days Get a quote

Python is an interpreted, multi-paradigm and multiplatform programming language. It is often appreciated, at first, for its clear syntax allowing an easy initiation to the basic concepts of programming.

The strength of Python resides in these numerous specialized libraries developed by a community of contributors very active in various fields such as web development, scientific numerical computation, education, software development or business applications.

Python is particularly used in the field of data science thanks to the power of its Numpy package (Numerical Python) and to the simplicity of its syntax which allows, for example, to communicate easily with big data (Apache Spark with PySpark) or deep learning (TensorFlow) environnements.

Objectives

  • Reviewing the basics of Python
  • Mastering the basic data science packages
  • Introduction to big data processing with PySpark
  • Introduction to machine learning with Scikit-learn and deep learning with Tensorflow/Keras

Pedagogy

50% theory, 50% practise

Prerequisites

Knowledge in programming

Target audience

Analysts, Developers, Architects, Data Scientist

Financing in France

  • May be financed through OPCO (if financing covers all of the cost of the training)
  • Cannot be financed through the CPF

Training as inter-companies

Trainings can be held on-site or remotely
  • Training course starts at 9.30am
  • Lunch break from 12am to 1pm
  • Training course ends at 5.30pm

Pedagogy

50% theory, 50% practise