Data Analytics 3 Months Bootcamp

Onsite Upcoming
Data Analytics 3 Months Bootcamp

Data Analytics 3 Months Bootcamp

Onsite Upcoming ID: GZ-TG-0071

Excel to SQL to Power BI

Become a Job-Ready Data Analyst in 3 Months

Duration: 3 Months (12 Weeks)
Schedule: 2 Days per Week
Total Sessions: 24 Live Practical Sessions
Session Duration: 1.5 Hours
Mode: Online
Level: Beginner to Intermediate

Course Overview

This practical Data Analytics Bootcamp is designed for beginners who want to build a strong foundation in data analytics using industry-standard tools. Throughout the course, students will learn Microsoft Excel, Google Sheets, SQL, Python, and Power BI while working on real-world datasets and business scenarios.

By the end of the training, students will be able to clean, analyze, visualize, and present data professionally and will have multiple portfolio projects to showcase their skills.

Tools Covered

  • Microsoft Excel
  • SQL
  • Power BI
  • Power Query
  • DAX

Who Should Join?

  • Students
  • Fresh Graduates
  • Job Seekers
  • Business Professionals
  • Office Employees
  • Freelancers
  • Entrepreneurs
  • Aspiring Data Analysts

Learning Outcomes

By the end of this bootcamp, participants will be able to:

  • Clean and organize raw data using Excel.
  • Analyze data using Excel formulas and Pivot Tables.
  • Build interactive Excel dashboards.
  • Understand relational databases and SQL.
  • Write SQL queries for data analysis.
  • Use SQL joins and aggregation techniques.
  • Transform data using Power Query.
  • Build data models in Power BI.
  • Create DAX measures and calculations.
  • Build interactive Power BI dashboards.
  • Analyze real-world business datasets.
  • Extract meaningful business insights.
  • Build practical Data Analytics portfolio projects.

Share this training:

PKR 15,000 Per Month

Enroll in this Course

Student Reviews

No reviews yet. Be the first to review!

Leave a Review

* Your review will be visible once approved by an admin.

Book Consultancy Session

Choose your preferred date and slots (Pakistan Time)