Introduction to data-science with python

56,00 

Data science is a rapidly evolving field at the intersection of statistics, computer science, and business acumen. Understanding data and its hidden patterns play a crucial role in decision-making and strategic planning in today’s data-driven world. Python, due to its readability and a wide array of scientific libraries, is a widely used programming language in data science. This module aims to equip learners with fundamental concepts and practical skills of data science using Python.

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SKU: 9964 Category:

Start date

October 19, 2023

End date

October 20, 2023

Language(s) of the training

English

Languages spoken by the coach(es)

English, French

Instructor(s)

Cetinsoy Laurent

Contents

  • vector, matrices with numpy
  • vectorization and masks with numpy
  • loading and processing data with pandas
  • data visualization with matplotlib
  • building a dashboard with streamlit

Objective

  • Overview of the python data-science ecosystem
  • Overview and key concepts of numpy. Hands-on
  • Overview and key concepts of pandas. Hands-on
  • Building a simple dashboard with streamlit

Learning Outcomes

Upon completion of this course, learners will be able to:

  • Utilize Python libraries such as NumPy, pandas, and matplotlib for data manipulation, computations, and visualization.
  • Preprocess and manipulate datasets effectively for data analysis.
  • Interpret and represent complex data using Python’s data visualization techniques.
  • Solve practical, data-driven problems using Python.

Schedule

This course has a total duration of 14 hours and takes place over 2 days

  • 19-10-2023: 09:00 – 17:00
  • 20-10-2023: 09:00 – 17:00

Format and Location

This course takes place ON-SITE
Terres Rouges building
14, porte de France
L-4360 Esch/Alzette

Level

Intermediate

Prerequisites

Basics of python

Additional Info

Certification

This training does not have any assessment or exams; a certificate of participation will be issued to participants.

Esco Skills

inspect data, analyse big data, prepare visual data

Esco Occupations

data analyst, data scientist