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Python Fundamentals (EN)

Data science is all the rage. With the sheer volume of data being generated constantly, organisations need to know how to harness it to achieve their goals. 

A crucial part of data science is the programming languages used to create analytical models and extract value from the available data. One of the most popular languages in this field is Python, as it is relatively easy to learn. 

In this two-day course, we’ll give you all the tools you need to start your data science journey with Python. We’ll start with the basics and finish with the Numpy and Pandas libraries, which allow us to read data and perform simple statistical analyses. 

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Practical information

This is a live classical training of 2 days.

Do not forget to bring your laptop.

Access to  jupyter.org

Training Objectives

  • Gain a basic understanding of the Python programming language 
  • Boost your Python skills 
  • Working with lists and dictionaries 
  • Use NumPy for arrays and simple statistical calculations 
  • Use Pandas for dataframes (tables) 

Program

  • Python Basics 

On the first day, we will cover the basic syntax of the Python programming language and introduce fundamental programming concepts such as variables, data types, arithmetic operations, comments, functions and control structures. 

  • Python Basics: exercises 

We will then explore these topics in greater depth and complete a range of exercises to consolidate our understanding. We will also introduce the concepts of lists and loops. To do this, we will use the Python library NumPy, which also allows us to perform simple statistical calculations. 

  • Processing data with Pandas 

Finally, we’ll learn how to use Pandas. Pandas is a powerful Python library for working with data. With Pandas, you can easily import, manipulate and analyse data – for example, by filtering tables, creating summaries and identifying trends. It’s essential for anyone who works with data, from beginners to advanced users. 

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