Databricks Data Analyst & SQL Bootcamp

825 Ratings

Join Our 100% Job Guidance and Guaranteed Interview Support

Highly recognized as the best training institute for Databricks Data Analyst & SQL Bootcamp course EDUBRIGHTS Institute, rated to be the best institute in online, provides Databricks Data Analyst & SQL Bootcamp Training with skills and placement support. Take Your Career to the Next Level with Databricks Data Analyst & SQL Bootcamp Training! Learn Databricks Data Analyst & SQL Bootcamp with industry experts' expert-led training. Get practical skills that will lead to promising career opportunities.

Learn from a growing community of successful learners
Trusted by top hiring companies across industries
Live, interactive sessions led by experienced professionals
Get practical experience in labs and real-world initiatives.
Earn a recognized certification in a short time
Receive support for resume building and interview preparation
Customized corporate training for teams on Databricks Data Analyst & SQL Bootcamp and end-to-end implementation.
Proven enterprise upskilling: Accelerate Databricks Data Analyst & SQL Bootcamp project delivery and reduce implementation costs with certified programs.

Call Course Advisor

₹30000

₹42000

Enroll Now View Syllabus

Case Studies and Projects

Hours of Training

20+

Placement Assurance

100%

Expert Support

Yes

Support & Access

Lifetime

Certification

Yes

Skill Level

All

Language

All

Course Objectives

1. Master Data Analysis Using Databricks

Learn how to use Databricks for data exploration, analysis, and reporting to transform raw data into meaningful business insights.

2. Develop Strong SQL Querying Skills

Gain expertise in SQL fundamentals, advanced querying techniques, joins, aggregations, subqueries, and data manipulation within Databricks.

3. Build Interactive Reports and Dashboards

Understand how to create visualizations, dashboards, and reports that support business intelligence and data-driven decision-making.

4. Work with Large-Scale Data Efficiently

Learn how Databricks and Apache Spark SQL enable high-performance analysis of large datasets across distributed environments.

5. Perform Data Cleaning and Transformation

Develop the skills required to clean, validate, transform, and prepare data for reporting and analytics projects.

Popular Techniques Covered in This Course

1. SQL Query Development

2. Data Exploration and Profiling

3. Advanced SQL Functions

4. Data Cleaning and Preparation

5. Databricks Notebook Management

6. Data Aggregation and Reporting

7. Dashboard Creation

8. Spark SQL Fundamentals

9. Delta Lake Analytics

10. Business Intelligence Fundamentals

Get Hands-on Knowledge about Real-Time Projects

Project 1

1. Retail Sales Analytics Dashboard

Build a sales reporting solution that analyzes revenue, product performance, customer purchasing trends, and regional sales metrics using SQL and Databricks.

Project 2

2. Customer Segmentation Analysis

Create a customer analytics project that categorizes customers based on purchasing behavior, demographics, and engagement metrics for targeted marketing campaigns.

Project 3

3. Financial Performance Reporting System

Develop a reporting platform that tracks business expenses, revenue, profitability, and financial KPIs through advanced SQL queries and dashboards.

Project 4

4. E-Commerce Order Analysis

Analyze order transactions, customer trends, product demand, and sales performance to generate actionable business insights.

Project 5

5. HR Workforce Analytics Project

Build an employee analytics solution that evaluates attendance, performance, turnover trends, and workforce productivity using Databricks SQL capabilities.

Key Features

Edubrights offers Databricks Data Analyst & SQL Bootcamp Training in virtual mode with expert trainers. Here are the key features,

40 Hours Course Duration

100% Job Oriented Training

Industry Expert Faculties

Free Demo Class Available

Completed 500+ Batches

Certification Guidance

Curriculum

Module 1: Introduction to Databricks for Analysts

What is Databricks SQL: workspace interface, SQL warehouses, and query editor
Connecting data sources: uploading CSV files and linking cloud storage
Writing your first query: exploring Hyderabad real estate transaction data
Understanding clusters vs SQL warehouses: cost implications for analyst teams

Module 2: SQL Foundations & Data Exploration

SELECT, WHERE, ORDER BY, LIMIT: querying Indian IPL match statistics
Aggregate functions: COUNT, SUM, AVG, MIN, MAX for sales reporting
GROUP BY and HAVING: regional sales breakdowns by Indian state
String and date functions: parsing transaction timestamps for festive season analysis

Module 3: Intermediate SQL Techniques

JOINs in depth: INNER, LEFT, RIGHT, FULL OUTER with customer-order datasets
Subqueries and derived tables: finding top-performing product categories
CASE WHEN logic: segmenting customers by spend tier for loyalty programs
NULL handling: cleaning and interpreting incomplete survey response data

Module 4: Advanced SQL for Business Intelligence

Common Table Expressions (CTEs): multi-step revenue attribution analysis
Window functions: RANK, DENSE_RANK, ROW_NUMBER for leaderboard reporting
LAG and LEAD: month-over-month growth tracking for Indian fintech startups
PIVOT and UNPIVOT: reshaping quarterly data for executive presentations

Module 5: Databricks SQL Dashboards

Creating visualizations: bar, line, pie, and scatter charts from query results
Dashboard design: building a Bengaluru startup funding tracker dashboard
Filters and parameters: interactive date range and region selectors
Scheduling refreshes: automated daily dashboard updates for stakeholders

Module 6: Working with Delta Tables

What is Delta Lake: reliability and consistency benefits for analysts
Reading Delta tables: querying versioned data without engineering support
Time travel for analysts: comparing this quarter vs last quarter snapshots
Understanding partitioning: why some queries run faster than others

Module 7: Data Quality & Business Reporting

Identifying dirty data: duplicates, outliers, and inconsistent categories
Writing audit queries: validating KPIs against source system records
Saved queries and query history: building a personal analytics library
Exporting and sharing: sending insights to Power BI and Google Sheets

Module 8: Capstone & Analyst Certification Prep

End-to-end project: Chennai retail chain monthly performance report
Presenting findings: storytelling with data for non-technical stakeholders
Databricks Certified Data Analyst exam topics and question walkthrough
Mock quiz: 30-question timed practice covering all bootcamp modules

Receive Training From Our Skilled and Effective Trainers

Experience in the Industry Learn from Databricks-certified data engineers and ML engineers who have built production lakehouse platforms, Delta Live Tables pipelines, and ML workflows on Databricks for data-driven enterprises.

Backgrounds at the Top Our Databricks trainers have delivered data platform projects at technology companies, financial services firms, and healthcare organisations where Databricks is the central platform for data engineering and machine learning.

Clear & Effective Teaching Databricks architecture, Spark DataFrames, Delta Lake, Databricks SQL, MLflow, Delta Live Tables, Unity Catalog, and governance are explained clearly with real lakehouse data platform examples.

Hands-On Learning Focus Students build end-to-end lakehouse pipelines, work with Delta tables, create DLT pipelines, track ML experiments with MLflow, and configure Unity Catalog governance through structured lab exercises.

Up-to-Date Knowledge Trainers keep content current with the latest Databricks platform releases, Databricks AI and GenAI capabilities, Unity Catalog enhancements, and evolving lakehouse architecture best practices.

Certified Databricks Data Analyst & SQL Professional

Our institution offers a recognized Databricks Data Analyst & SQL Bootcamp certification that validates your ability to design and prototype professional user interfaces efficiently. This certification enhances your design portfolio and prepares you for collaborative projects in real-world environments. Gain practical skills through hands-on training and assessments.

Course FAQs

1. What is Databricks Data Analyst & SQL Bootcamp?

It is a comprehensive training program designed to teach SQL, data analytics, reporting, and business intelligence using the Databricks platform.

2. Who should enroll in this course?

This course is ideal for aspiring data analysts, business analysts, reporting professionals, students, and working professionals looking to strengthen their SQL skills.This course is ideal for aspiring data analysts, business analysts, reporting professionals, students, and working professionals looking to strengthen their SQL skills.

3. Do I need prior SQL knowledge?

No. The course starts with SQL fundamentals and gradually progresses to advanced querying techniques.

4. What tools are covered in the course?

The course covers Databricks, SQL, Spark SQL, Delta Lake, dashboards, and reporting tools.

5. Will I work on real-world projects?

Yes. The course includes practical projects focused on analytics, reporting, and business intelligence scenarios.

6. What is Spark SQL?

Spark SQL is a component of Apache Spark that allows users to process and analyze large datasets using SQL queries.

7. Is this course suitable for beginners?

Yes. The bootcamp is designed to help beginners build a strong foundation in SQL and data analytics.

8. What industries require SQL and Databricks skills?

Industries including banking, healthcare, retail, manufacturing, telecommunications, insurance, and technology rely heavily on SQL and Databricks professionals.

9. Will I learn dashboard development?

Yes. The course teaches how to create dashboards and visual reports for business performance monitoring.

10. How important is SQL for a Data Analyst?

SQL is one of the most important skills for data analysts because it is used to retrieve, manipulate, and analyze business data.

11. Can I use Databricks for business intelligence?

Yes. Databricks supports reporting, dashboarding, data analytics, and integration with business intelligence tools.

12. What job roles can I pursue after completing this course?

You can pursue roles such as Data Analyst, Business Analyst, Reporting Analyst, SQL Analyst, BI Analyst, and Junior Data Engineer.

13. How long does it take to complete the course?

The duration varies depending on the learning schedule, but most learners can complete the bootcamp within a few weeks.

14. Does the course include hands-on practice?

Yes. Practical exercises, assignments, SQL challenges, and real-world projects are included throughout the training.

15. What are the benefits of learning Databricks and SQL together?

Combining Databricks and SQL skills enables professionals to work efficiently with large-scale datasets, analytics workflows, and modern cloud-based data platforms.