Career Pathways

Business Intelligence training

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

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

What you will discover during your Business Intelligence training.

Data Analysis and SQL
  • Advanced SQL: subqueries, CTEs, window functions, and optimization.
  • Data normalization and schema design.
  • Exploratory data analysis (EDA) techniques.
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

Step by step to master various tools and technologies

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

Next sessions

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