Master Power BI + SQL – From Data to Insights

Learn Power Bi Course how to manage, query, and analyze data using SQL and visualize it with Power BI dashboards. Beginner-friendly training in Telugu + English with real-world projects, resume prep, and placement support.

Massive Demand. Massive Opportunities

Hiring Demand

90% of companies use SQL & BI tools for decision-making. Every industry needs data professionals.

Salary Growth

Data Analysts earn ₹4–7 LPA (freshers) and ₹12–20 LPA (experienced professionals) in India.

Career Roles

SQL Developer, Data Analyst, Power BI Developer, BI Consultant, Reporting Analyst.

Future-Proof Skills

SQL + Power BI are the core skills for Data Analytics, AI, and Business Intelligence careers.

Global Opportunities

In-demand across Finance, Healthcare, IT, Retail, E-commerce, and Startups with global and remote job options.

Real Projects & Dashboards

Build Sales Reports, HR Dashboards, Finance Analysis, and KPI Reports with live datasets.

Companies Hiring Power BI + SQL Developers

We Understand Your Struggles – And We’ve Solved Them!

Career Confusion

Coding Fear

Tool Overload

Interview Stress

No Portfolio

What Makes This Course Different

👉 Module Wise Quizzes, Assignments, and Practice Questions

👉 100% Placement assistance

👉 Industry professionals with 10+ years of experience

👉 Live Chat support assistance

👉 Access to session recordings for 2 years

👉 EMI Option also available with specified cards

👉 Get ₹10,000 Worth of Free Career Booster Add-On Sessions

👉 Dedicated Job Updates

👉 100% Live Training in Telugu

👉 Industry Ready Training

👉 Interview Questions & Study Materials

👉 Resume & Linked In Preparation

Power Bi & SQL Course Syllabus

1. Introduction to Power BI

Overview of Power BI
Power BI licensing
Introduction to Power BI terminology
Power BI tools and building blocks

2. Power BI Desktop and Power Query Editor

Power BI desktop overview
Getting data from various sources
Data connectivity modes
Power Query editor overview
Data types in Power BI
Data transformation in Power Query editor
Model optimization in Query Editor

3. Modelling in Power BI

Overview of modelling and schemas
Modelling data in Power BI
Data cardinality types
Cross filtering and connection type (Active/Inactive)

4. DAX (Data Analysis Expressions)

Introduction to DAX
Calculated columns, measures, and quick measures
Aggregation, Date & Time, Filter, Logical, and Information Functions
Filter context in calculation
Operators in DAX
DAX performance

5. Visualization in Power BI

Introduction to visualization
Usage of visuals
AI and custom visuals overview
Visual formatting and analytical features
Managing and arranging the visuals
Grouping, selection pane, bookmarks, buttons
Tooltip, drill down, and drill through functionality

6. Advanced Transformation and Querying Techniques

Referencing and Duplicating queries
Appending Queries
Merging or Joining your queries
Custom and Conditional Columns
Creating & Using Parameters

7. Power BI Optimization Techniques

Performance Analysis
Choosing Better Design
DAX Studio
Report Development Best Practices Checklist

8. Power BI Dashboards

Introduction to dashboards
Dashboards vs reports
Creating dashboards

9. Power BI Services

Introduction to workspace
Introduction to app
Publishing datasets or reports in Power BI
Sharing workspace and app
Refreshing a dataset
Exporting data from visuals
Exporting report as PPT or PDF
Analyzing report in Excel

10. Other Important Functionality in Power BI

Bookmarks in Power BI
RLS (row level security)
Gateway
Slicer, filters, and advanced filters

11. Introduction to Datawarehouse and Database

Introduction to relational databases
Fundamental concepts of Datawarehouse, OLTP and OLAP
Operators (logical & relational), constraints, primary and foreign key

12. Introduction to SQL

Installation of SSMS (SQL Server Management Studio)
What is SQL?
Overview of SQL (Structured Query Language)
DDL and DML Commands
Create Database using Management Studio
Datatypes in SQL Server

13. DDL and DML Statements

Create, Alter, and Drop Table
Insert, Update, and Delete Statements
Truncate Statement
Basic SQL Syntax
Queries (SELECT, WHERE)
Filtering and Sorting Data (ORDER BY, LIMIT)

14. Aggregate Functions, Joins and Set Operations

Aggregate Functions: COUNT(), SUM(), AVG(), MIN(), MAX()
String Functions: CONCAT(), SUBSTRING(), REPLACE(), LENGTH()
Group By & Having Clause
Introduction to Joins (INNER, LEFT, RIGHT, FULL)
SELECT statements with DISTINCT
Filtering Data (WHERE, BETWEEN, IN, LIKE)
Sorting and Limiting (ORDER BY, LIMIT, OFFSET)

Real Projects You'll Build

Automation Deployment Using Jenkins

Build code using Maven, scan with SonarQube, store artifacts in Nexus, and deploy on Tomcat.

Microservices Deployment with Jenkins & Docker

can code with SonarQube, build Docker image, scan with Trivy, and deploy using Docker pipelines.

Monolithic Project Using Terraform & Ansible

Create infrastructure using Terraform and deploy application by automating configurations with Ansible and Jenkins.

CI/CD Using Ansible & Jenkins

Use Ansible playbooks to install Tomcat and deploy applications through Jenkins integration and automation.

CI/CD Pipeline Using AWS CodePipeline

Automatically build and deploy code on AWS when developers push changes to the central GitHub repository.

3-Tier Application Deployment Using Docker Compose

Deploy a Java-based 3-tier app with Jenkins automation and monitor performance using Datadog dashboards.

3-Tier High Availability Deployment on AWS Cloud

Deploy Node.js application using AWS EC2, subnets, load balancers, and auto scaling groups for HA.

Blood Bank Application on Kubernetes (KOPS)

Deploy 3-tier application with high availability and monitor Kubernetes resources using Prometheus and Grafana.

E-commerce App Deployment on AWS EKS Cluster

Deploy and manage an e-commerce app on EKS with Jenkins pipelines and resource monitoring enabled.

Python App Deployment Using ArgoCD & GitOps

Deploy Python app on Kubernetes using GitOps approach with ArgoCD, Helm, and high availability setup.

Full Stack App Deployment: Local to Production

Deploy React + MongoDB app using Docker, Kubernetes, Terraform, Jenkins, and monitor with Slack & ArgoCD.

Watch the Demo of Our Power BI + SQL Course in Telugu to Get a Preview of the Topics Covered.

Success Stories

From Non-Tech to Data Scientist at TCS - ₹12 LPA

Priya

Hyderabad

Got ML Engineer role at Infosys - ₹15 LPA

Rajesh

Vizag

Started AI consulting business - ₹50K/month

Meera

Vijayawada

From Non-Tech to Data Scientist at TCS - ₹12 LPA

Priya

Khammam

Career Paths After Course

Freshers

SQL Developer (Entry Level) – ₹3.5–6 LPA
Junior Data Analyst – ₹4–7 LPA
Reporting Analyst – ₹3.5–6 LPA
Power BI Trainee Developer – ₹4–7 LPA
Intern / BI Associate – ₹2–4 LPA

Experienced

Power BI Developer / Specialist – ₹10–18 LPA
BI Consultant – ₹12–20 LPA
Senior SQL Developer – ₹12–22 LPA
Data Visualization Expert – ₹12–20 LPA
Freelance BI Consultant – ₹1L–2.5L per month (project-based income)

Complete Power BI + SQL Mastery in Telugu

₨39999

₨ 7,999

low Price

Get ₹10,000 Worth of Free Career Booster
Add-On Sessions

Resume Building

Create strong resumes with expert guidance.

Job Updates

Get access to latest openings & hiring alerts.

Interview Prep

Mock interviews and communication training.

LinkedIn Boost

Optimize your LinkedIn for visibility.

Career Transition

Guidance to shift domains or roles confidently.

Freelancing

Learn how to start and grow as a freelancer.

Career Advancement Results

At Frontlines Edutech, we believe in transforming careers through high-quality, industry-relevant education. Our focus is on providing practical skills and knowledge that lead to real-world success. With a proven track record of impactful learning, we ensure our students are well-equipped to excel in their chosen fields and achieve their career goals with confidence.

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Frequently Asked Questions

1. What is the Power BI + SQL Course all about?

The Power BI + SQL Course by Frontlines Edutech equips you with the skills to analyze data, create dynamic visualizations, and manage databases using SQL. The course covers everything from data integration to advanced dashboard creation, preparing you for a data-driven career.

2. Who is this Power BI + SQL Course for?

This course is perfect for anyone looking to build a career in data analysis, business intelligence, or database management. Whether you’re a beginner or an experienced professional looking to upskill, this course is for you.

3. Do I need prior programming or data experience?

No prior programming or data experience is required. This course starts with the basics and gradually builds to advanced concepts, making it suitable for all skill levels.

4. What is the duration of the Power BI + SQL Course?

The Power BI + SQL course spans 45+ hours and is delivered through live online classes in Telugu, ensuring interactive learning and real-time guidance from instructors. The course is designed to fit into your schedule, providing flexibility for students and working professionals alike. With comprehensive modules and live sessions, you’ll have the opportunity to build a strong foundation in Power BI while mastering advanced techniques, all in a language that makes the content accessible and easy to grasp.

5. Will I receive job placement assistance?

Yes, we provide job placement support, including resume-building, interview preparation, and access to job opportunities.

6. What if I miss a live session?

All live sessions are recorded, and you will have access to the recordings for two years. This allows you to revisit any sessions you miss.

Get Certified

Yes, you’ll get a Certificate representing your Industry Readiness once you submit your projects and clear the pre placement test.