Career Pathways

Data Analytics training

Get an official diploma, receive personalized support until employment, and gain access to one of the most sought-after careers in the market.

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Put into Practice,
Truly Understand

At Gust Training, we believe that hands-on practice is the key to real understanding. Our project-based approach creates authentic learning opportunities, allowing you to meaningfully grasp the data analytics methodology
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Training content

Introduction to Python
  • Python Fundamentals
  • Basic syntax
  • Flow control
  • Handling character strings
  • Handling errors and exceptions
  • Object Oriented Programming (OOP)
Data Visualization
  • Importance of Data Visualization
  • Types of visualizations
  • Visualization tools
  • Design principles
Machine Learning
  • Introduction to Machine Learning
  • Development Environment
  • Data Preparation
  • Supervised Learning
  • Unsupervised Learning
  • Model Deployment
Data Analysis
  • Data Analysis Steps
  • Tools and Techniques for Data Analysis
Data extraction and management
  • Introduction to Data
  • Databases
  • Data Extraction
  • Data Cleaning and Preparation
  • Data Management
  • Data Management Tools
Business intelligence
  • Introduction to Business Intelligence
  • Data Concepts
  • Data Warehousing
  • ETL process (Extract, Transform, Load)
  • Business Intelligence Tools
  • Data Mining and Advanced Analysis
Big Data / Database
  • Introduction to Big Data
  • Database Fundamentals
  • Big Data Architecture
  • Data processing
  • NoSQL Databases
  • Data Integration and Management
  • Data Analysis and Business Intelligence

Train at your own pace

Choose the format that suits you best!
Whether you prefer an in-person bootcamp during the day or online classes in the evening or on weekends.
Our programs fit your schedule!

DAY COURSES

  • 12 weeks of training
  • 3 days / week
  • Between 9:00 a.m. and 6:00 p.m.
  • In-person or online.

EVENING CLASSES

  • 12 weeks of training
  • Evenings
  • From 7:00 p.m. to 9:00 p.m.
  • Remotely

WEEKEND COURSES

  • 12 weeks of training
  • Saturdays and Sundays
  • From 9:00 a.m. to 1:00 p.m.
  • Remotely

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