Technologies / Programming

Introduction to Python for data analysts

A training course designed to introduce participants to the basics of the Python language and its applications in data analysis. The training is designed for people starting their adventure with Python, especially those who work or plan to work in the field of data analysis. Participants will learn the basics of the language's syntax, how to work in a development environment and how to use basic analytical libraries.

Issues

Installation and configuration of the work environment (Anaconda, Jupyter Notebook)
Python language syntax basics
Data structures in Python
Conditional instructions and loops
Defining and using functions and modules
Basics of working with NumPy and Pandas libraries
Introduction to data visualization with Matplotlib
Practical applications of Python in data analysis

This training is part of the path:

Data Analyst

Benefits

Understand the basics of Python language syntax
Ability to work in a Python development environment (Anaconda, Jupyter Notebook)
Basic knowledge of analytical libraries (NumPy, Pandas)
Ability to create simple data visualizations
Practical experience working with real data
A solid foundation for further development in the field of data analytics

Who is this training for?

Data analysts and business intelligence specialists getting started with Python

Professionals in sales, marketing, finance or analytics who want to develop competencies related to data analysis

People with an enthusiasm for programming who want to learn the basics of Python in the context of data analysis

Prerequisites

No requirement for prior knowledge of Python
Basic knowledge of data analytics will be an added advantage
Willingness to learn programming and data analysis

Training program

Installation and configuration of the work environment (Anaconda, Jupyter Notebook)

Variables, data types, operators
Data structures: lists, tuples, dictionaries, collections
Conditional instructions and loops

Defining and calling functions
Importing modules and libraries
Introduction to working with data

Pandas library basics

Introduction to Matplotlib
Practical exercises and case studies

Delivery Methods

Online

Convenience of participating from anywhere
Interactive live sessions with trainer
Materials available for 30 days
No travel costs

On-site

Direct contact with trainer and group
Intensive hands-on workshops
Networking with other participants
Full focus on learning

Frequently asked questions

What are the prerequisites for this training?

For Introduction to Python for data analysts we recommend: No requirement for prior knowledge of Python; Basic knowledge of data analytics will be an added advantage; Willingness to learn programming and data analysis.

What is the format and duration of this training?

The training lasts 1 day and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.

Who is this training designed for?

This training is designed for: Data analysts and business intelligence specialists getting started with Python; Professionals in sales, marketing, finance or analytics who want to develop competencies related to data analysis; People with an enthusiasm for programming who want to learn the basics of Python in the context of data analysis.