Technologies / Artificial Intelligence

Introduction to Data Science and AI using Python

Five-day workshop training introducing the basics of data science and artificial intelligence using the Python language. The program includes a comprehensive introduction to data analysis, machine learning and the basics of artificial intelligence. Participants, through a series of hands-on workshops, will learn techniques for data processing and analysis, implementation of machine learning algorithms and creation of predictive models. The training emphasizes the practical application of acquired knowledge in real data science projects.

Issues

The data science ecosystem in Python
Data analysis and visualization
Fundamentals of machine learning
Data preparation and cleaning
Predictive modeling
Neural networks and deep learning
Natural language processing
Optimization of models
Implementation of AI solutions
Good data science practices
Management of analytical projects
Presentation of analysis results

Benefits

Thorough knowledge of data science tools will allow you to conduct analytical projects independently
An understanding of the basics of machine learning will enable the implementation of predictive models
Experience working with real data will increase efficiency in analytical projects
Data visualization skills will contribute to better communication of analysis results
Knowledge of best practices in data science will improve the process of developing AI models
Knowledge of optimization techniques will help create efficient analytical solutions

Who is this training for?

Beginning data analysts

Programmers interested in data science

Business professionals looking to develop analytical skills

Scientists and researchers

Technical and science students

Data engineers

Artificial intelligence enthusiasts

Prerequisites

Basic knowledge of Python programming
Understand the basics of mathematics and statistics
Ability to think analytically
Interest in data analysis

Training program

NumPy and Pandas libraries
Data visualization with Matplotlib and Seaborn
Data preparation and cleaning
Introduction to machine learning

Regression and classification
Model evaluation and validation
Feature selection and engineering
Advanced modeling techniques
Decision trees and random forests

Unsupervised learning
Natural language processing
Implementation and deployment

Working with large data sets
Best practices in data science
AI application development

Use case analysis
Implementation of complete solutions

Project evaluation

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 Data Science and AI using Python we recommend: Basic knowledge of Python programming; Understand the basics of mathematics and statistics; Ability to think analytically.

What is the format and duration of this training?

The training lasts 5 days 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: Beginning data analysts; Programmers interested in data science; Business professionals looking to develop analytical skills.