Course Objectives
1. How do you analyze large datasets using Databricks?
You will learn to process and analyze big data efficiently using Databricks notebooks and Spark SQL.
2. How do you write production-level SQL queries?
You will master advanced SQL techniques for data exploration, transformation, and reporting.
3. How do you build end-to-end data analysis solutions?
You will combine SQL, PySpark, and Databricks tools to solve real business problems.
4. How do you create insightful visualizations and dashboards?
You will use Databricks SQL Dashboards to present data findings clearly to stakeholders.
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. This certification enhances your 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.
Get Training Quote for Free
Testimonials
Hear What Our Students Say
"Transform your life through Education, hear it from our Alumni"
8 LPA
Rahul
Student
Data Scientist
"Transform your life through Education, hear it from our Alumni"
8 LPA
Siddharth
NIELSON IQ
Data Analyst
"Transform your life through Education, hear it from our Alumni"
6 LPA
Fathima
Student
Software Engineer
