Tools & Technologies You'll Learn

At RoyalTechX Data Analyst Bootcamp, we provide hands-on experience with the most in-demand tools used by top companies in data analytics.

Tools You Will Master

1. SQL – Database Management & Querying

Tools Used:
✔ PostgreSQL – Learn to write efficient queries
✔ Microsoft SQL Server – Work with real databases
✔ MySQL – Practice with data-driven applications

What You'll Do:

• Extract & clean data from large datasets

• Perform advanced SQL queries for business insights

• Optimize query performance with indexing & tuning

2. Microsoft Excel – Data Cleaning & Analysis

Tools Used:
✔ Excel & Google Sheets

What You'll Do:

• Use Pivot Tables & Charts to analyze trends

• Master functions like VLOOKUP, XLOOKUP, IF Statements

• Perform data validation & automation

3. Tableau – Data Visualization & Dashboarding

Tools Used:
✔ Tableau Public / Tableau Desktop

What You'll Do:

• Create interactive dashboards & reports

• Build data-driven insights with visual storytelling

• Work on real-time datasets

4. Python – Data Automation & Analysis

Tools Used:
✔ Jupyter Notebook
✔ pandas, NumPy (Data Manipulation)
✔ Matplotlib, Seaborn (Data Visualization)

What You'll Do:

• Automate data tasks using Python scripts

• Work with real-time APIs & Web Scraping

• Perform data cleaning & visualization

5. ETL (Extract, Transform, Load)

Tools Used:
✔ SSIS (SQL Server Integration Services)

What You'll Do:

• Automate data extraction & transformation

• Load data into databases & warehouses

• Build end-to-end data pipelines

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?

Program 1 & 2 Tools:

Program 3 Tools:

Tools You Will Master

1. Backend Development (For Software Engineers)

• Java & C# – Core programming for backend development

• Spring Boot – Java framework for building enterprise applications

• ASP.NET – C# framework for web and API development

• PostgreSQL & MySQL – Database management and query optimization

What You'll Do:
✔ Develop backend applications using Java & C#
✔ Work with RESTful APIs and microservices
✔ Implement database queries and optimizations

2. Automation Testing (For SDET)

• Selenium WebDriver – Browser automation testing

• Cucumber & TestNG – Behavior-driven testing frameworks

• JUnit & PyTest – Unit testing frameworks for Java & Python

• Postman – API testing and automation

• Jenkins & GitHub Actions – CI/CD pipeline automation

What You'll Do:
✔ Automate test cases for web applications
✔ Perform API testing and validations
✔ Set up continuous integration for automated deployments

3. Data Analytics (For Data Analysts)

• SQL (PostgreSQL, MySQL) – Advanced query writing & database optimization

• Python (pandas, NumPy, Matplotlib, seaborn) – Data cleaning, analysis, and visualization

• ETL Tools (SSIS, Talend, Airflow) – Data pipeline automation

What You'll Do:
✔ Analyze and clean real-world datasets
✔ Automate data transformation using ETL tools
✔ Build data dashboards for reporting