Free SQL Server + Python + Power BI Training for Analyst &BI

This comprehensive and practical training program is designed for aspiring Data Analysts, Business Intelligence (BI) professionals, and career switchers who want to build a strong foundation in data handling, analysis, and reporting. Covering SQL Server, Power BI, and Python, this course equips learners with the most in-demand skills to extract insights from data, create compelling dashboards, and automate analytical workflows.

What You Will Learn:

        SQL Server for Data Extraction & Manipulation:

                Writing efficient SQL queries

• • Filtering, joining, and aggregating data

  • Creating stored procedures and views

  • Real-world reporting database examples

  Power BI for Interactive Dashboards & Reporting:

  • Power Query & DAX fundamentals

  • Visual storytelling with dynamic reports

  • Data modeling and relationships

  • Publishing and sharing dashboards

  Python for Data Analysis & Automation:

  • Data cleaning and transformation using Pandas

  • Working with CSV, Excel, and SQL databases

  • Automating reports and simple ML insights

  • Introduction to data visualization (Matplotlib/Seaborn)

    Who This Course is For:

• Freshers or job seekers looking to enter Analytics or BI roles

• Working professionals switching to data-focused careers

• Students preparing for internships or entry-level analyst jobs

• Entrepreneurs and managers wanting to understand data and dashboards

Key Features:

• 100% Hands-on with real-world business data

• Multiple mini-projects and exercises

• End-to-end BI pipeline from raw data to dashboard

• Doubt support and interview preparation guidance

• Absolutely Free and beginner-friendly

Outcomes After Completion:

By the end of this course, you will be able to:

• Write and optimize SQL queries for reporting and analytics

• Design and share insightful dashboards using Power BI

• Automate repetitive data tasks with Python

• Confidently apply for Data Analyst or BI Analyst roles