Technologies / Data & Analytics

Practical Introduction to Data Science

Practical introduction to Data Science covering the complete workflow from data exploration to basic modeling. Participants will learn hands-on techniques for real-world data analysis projects.

Issues

Data science workflow
Data cleaning
Exploratory analysis
Visualization
Machine learning basics
Model evaluation
Python/R tools
Project methodology
Communication
Best practices

Benefits

Data science understanding
Practical skills
Tool proficiency
Project experience

Who is this training for?

Aspiring data scientists

Business analysts

Developers

IT professionals

Anyone transitioning to data science

Prerequisites

Basic programming
Statistics fundamentals
Analytical mindset

Training program

Tools and languages
Project lifecycle

Data exploration

Exploratory analysis

Feature engineering
Machine learning basics
Supervised learning
Model evaluation

Simple projects
Practical applications
Real-world datasets
End-to-end projects

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 Practical Introduction to Data Science we recommend: Basic programming; Statistics fundamentals; Analytical mindset.

What is the format and duration of this training?

The training lasts 3 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: Aspiring data scientists; Business analysts; Developers.