Tools & Technologies You'll Learn

Our program is built around the exact tools used by data analysts in real companies. You won’t just learn theory — you’ll work with real datasets and two real-world projects based on our professionals' experience in banks, government, and enterprise environments.

Tools You Will Master

1. SQL – Database Management & Analytics

Tools You’ll Use

  • PostgreSQL

  • Snowflake

  • MySQL

What You’ll Learn & Do

  • Write complex SQL queries to extract and analyze large datasets

  • Use joins, subqueries, CTEs, window functions, and aggregations

  • Clean and validate data for reporting and analytics

  • Optimize queries for performance in real production databases

2. Microsoft Excel – Data Cleaning & Business Analysis

Tools You’ll Use

  • Microsoft Excel

  • Google Sheets

What You’ll Learn & Do

  • Clean and organize messy datasets

  • Use Pivot Tables and Charts to identify trends

  • Master key functions like VLOOKUP, XLOOKUP, IF, CASE, and text functions

  • Perform data validation and basic automation used in reporting teams

3. Tableau – Data Visualization & Dashboards

Tools You’ll Use

  • Tableau Public

  • Tableau Desktop

What You’ll Learn & Do

  • Build interactive dashboards for business users

  • Turn raw data into clear insights and stories

  • Design KPIs, charts, and executive-ready reports

  • Work with real-world datasets used in analytics teams

4. Python – Data Automation & Analysis

Tools You’ll Use

  • Jupyter Notebook

  • pandas, NumPy

  • Matplotlib, Seaborn

What You’ll Learn & Do

  • Automate repetitive data tasks using Python

  • Clean, transform, and analyze large datasets

  • Work with APIs and basic web scraping

  • Create visualizations to support business decisions

5. ETL & Data Pipelines – Real-World Data Engineering Skills

Tools You’ll Use

  • SSIS (SQL Server Integration Services)

What You’ll Learn & Do

  • Build end-to-end ETL pipelines

  • Extract data from multiple sources

  • Apply transformations and data quality rules

  • Load data into databases and data warehouses

6. Real-World Projects (What Makes Us Different)

You will complete 2 real-time projects based on our actual work experience at:

  • Banks

  • Government agencies

  • Enterprise data teams

Project Experience Includes

  • Source-to-target data mapping

  • Data validation between systems

  • Real business rules and reporting logic

  • Documentation used by real analytics teams

Learn to work with industry-leading tools for Data Analysis, Visualization, and ETL!

Why These Tools?

Used by top companies like Google, Microsoft, and JPMorgan
Hands-on practice with real-world datasets
Prepares you for Data Analyst jobs

Want to See These Tools in Action?