Live Cohort : Master The SQL & Advanced SQL Programming

Completed

Database Design & Development Subcategory

SQL Server

Modules

Classes

LIVE

Labs

Duration

11 hr 56 min

Start Date

Nov 15, 2025

End Date

Dec 14, 2025

This Cohort Includes

Live Lectures

Interactive live sessions with real-time doubt resolution.

Expert Support

Direct access to industry mentors for personalized guidance.

Hands-on Labs

Practical training sessions with real-world applications.

Recognition

Official certification recognized by top-tier organizations.

Cohort Curriculum

12 modules

Sections

Introduction to Databases and SQL Server

Description:

Following topics will be covered in this module.

Topics:

What is a Database?
Types of Databases (Relational vs NoSQL)
Introduction to SQL Server & SQL Server Management Studio (SSMS)
Installing SQL Server and SSMS
SQL Server Architecture Overview (Instance, Database, Schema, Table)
Database Components (Tables, Views, Stored Procedures, etc.)

Platform: teams Start: Nov 15, 2025 at 8:00 AM End: Nov 15, 2025 at 8:45 AM

Labs Not Created

No lab exercises have been created for this module yet.

Sections

Basics of SQL

Description:

Following topics will be covered in this module.

Topics:

Data Types in SQL Server
Creating Tables (CREATE TABLE)
Inserting Data (INSERT INTO)
Reading Data (SELECT)
Filtering Data (WHERE, AND, OR, IN, BETWEEN, LIKE)
Sorting and Limiting Results (ORDER BY, TOP)

Platform: teams Start: Nov 15, 2025 at 8:46 AM End: Nov 15, 2025 at 9:30 AM

Labs Not Created

No lab exercises have been created for this module yet.

Sections

Working with Multiple Tables

Description:

Following topics will be covered in this module.

Topics:

Understanding Primary Keys and Foreign Keys
Joins: INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN
UNION and UNION ALL
Subqueries (Simple & Correlated)

Platform: teams Start: Nov 16, 2025 at 8:00 AM End: Nov 16, 2025 at 9:30 AM

Labs

Instructions:

Download & Load the Dataset:
Import the provided PostgreSQL tables into your local database environment.

Understand the Business Problem:
Read the lab description carefully to understand the business objective you are solving with SQL.

Write SQL Queries:
Use appropriate SQL concepts such as joins, aggregations, window functions, CTEs, and subqueries to analyze the data and generate insights.

Validate Results:
Ensure your query results are accurate, formatted clearly, and aligned with the business questions.

Description:

In this lab you will step into the shoes of a data analyst at a music streaming service. You’ll be given a relational PostgreSQL dataset with tables for songs, albums, artists, genres and user listening history. Your job is to write SQL queries to answer business-driven questions such as: Which songs and genres are getting the most plays? Which albums or artists have the highest user engagement? Which content is under-performing (low plays or likes)? Using those insights, you’ll propose recommendations for content strategy, playlist design and promotion.
Key deliverables:

Write SQL queries to rank songs by plays / likes / skip rates.
Analyze engagement by genre and by album.
Identify songs or artists with low engagement and drill into why.
Present your findings (via SQL output, summary tables) along with suggestions for how the streaming service should promote or retire certain content.

This lab builds your confidence in using SQL for content catalogue analytics, and gives you a portfolio piece of analyzing real-world styled data in a media/entertainment domain.

Associated Product

Analyzing Content Performance Using SQL

Group: Use Case

Category: Database Design & Development

Subcategory: PostgreSQL

Price: $1.49 $1.00 32% OFF

Sections

Data Aggregation and Grouping

Description:

Following topics will be covered in this module.

Topics:

Aggregate Functions (COUNT, SUM, AVG, MIN, MAX)
GROUP BY and HAVING Clauses
Working with Null Values
Case Expressions (CASE WHEN THEN)

Platform: teams Start: Nov 22, 2025 at 8:00 AM End: Nov 22, 2025 at 8:45 AM

Labs

Instructions:

Download & Load the Dataset:
Import the provided PostgreSQL tables into your local database environment.
Understand the Business Problem:
Read the lab description carefully to understand the business objective you are solving with SQL.
Write SQL Queries:
Use appropriate SQL concepts such as joins, aggregations, window functions, CTEs, and subqueries to analyze the data and generate insights.
Validate Results:
Ensure your query results are accurate, formatted clearly, and aligned with the business questions.

Description:

In this lab, you assume the role of a growth or marketing-analytics analyst within a platform (for example a food-delivery or app service) and use SQL to understand how customers join, engage and either stay active or churn. Working with a PostgreSQL dataset, you’ll ask and answer questions such as: When do new users sign up (seasonality, campaigns)? How many become active? Which users show early signs of churn? What behaviours distinguish loyal vs inactive users? You’ll use SQL to segment customers, track time-based cohorts, and identify actionable insights for lowering customer acquisition cost (CAC) and boosting retention.
Key deliverables:

Use SQL to measure new customer registrations over time (30, 60, 90 days) and relate to activity/engagement.
Segment customers by status (new, active, dormant, churned) and profile their behaviour (e.g., first purchase time, frequency).
Detect patterns: e.g., users who signed up during a campaign vs organic, high-value vs low-value customers.
Recommend strategies: e.g., targeted re-engagement for at-risk customers, improvements to onboarding or activation.

This lab enhances your SQL competence in customer lifecycle analytics, behaviour profiling and data-driven acquisition/retention strategies.

Associated Product

Customer Acquisition and Behaviour Analysis

Group: Use Case

Category: Database Design & Development

Subcategory: PostgreSQL

Price: $2.00 $1.50 25% OFF

Instructions:

Download & Load the Dataset:
Import the provided PostgreSQL tables into your local database environment.
Understand the Business Problem:
Read the lab description carefully to understand the business objective you are solving with SQL.
Write SQL Queries:
Use appropriate SQL concepts such as joins, aggregations, window functions, CTEs, and subqueries to analyze the data and generate insights.
Validate Results:
Ensure your query results are accurate, formatted clearly, and aligned with the business questions.

Description:

In this lab, you become the analytics lead for a subscription-based service (for example a music or media service) and you’re tasked with digging into the revenue and subscription data to uncover opportunities. Using a realistic PostgreSQL schema, you’ll explore questions like: What is the average revenue per user (ARPU)? What is the subscriber lifecycle (new, renewing, churned)? How does subscription tier, region or user cohort affect revenue and retention? You’ll write SQL to compute key metrics, compare across segments, and surface actionable insights for pricing, marketing and customer success.
Key deliverables:

Design queries that compute monthly recurring revenue (MRR), ARPU, churn rate, and lifetime value for user segments.
Compare revenue outcomes across subscription tiers, regions or time periods.
Identify which segments are under-performing and propose changes (e.g., price adjustment, promotional offers).
Summarize your analysis with SQL result tables and recommendations for optimizing the subscription business.

This lab strengthens your SQL skills in business-critical analytics: pricing strategy, monetization reporting and subscription lifecycle measurement.

Associated Product

Revenue Optimization and Subscription Analytics Using SQL

Group: Use Case

Category: Database Design & Development

Subcategory: PostgreSQL

Price: $1.99 $1.60 19% OFF

Sections

Modifying and Managing Data

Description:

Following topics will be covered in this module.

Topics:

UPDATE and DELETE Statements
Transactions (BEGIN TRANSACTION, COMMIT, ROLLBACK)
Constraints (PRIMARY KEY, FOREIGN KEY, CHECK, UNIQUE, DEFAULT)
Identity Columns and Sequences

Platform: teams Start: Nov 22, 2025 at 8:46 AM End: Nov 22, 2025 at 9:30 AM

Labs Not Created

No lab exercises have been created for this module yet.

Sections

Database Design and Normalization

Description:

Following topics will be covered in this module.

Topics:

Database Design Process
Normalization (1NF, 2NF, 3NF, BCNF)
Denormalization Concepts
Schema Design in SQL Server

Platform: teams Start: Nov 23, 2025 at 8:00 AM End: Nov 23, 2025 at 9:30 AM

Labs Not Created

No lab exercises have been created for this module yet.

Sections

Advanced SQL Concepts

Description:

Following topics will be covered in this module.

Topics:

Common Table Expressions (CTEs)
Window Functions (ROW_NUMBER, RANK, OVER)
Temporary Tables and Table Variables
Views (Creating and Managing)
Stored Procedures and Parameters
User Defined Functions (Scalar and Table-Valued)

Platform: teams Start: Dec 06, 2025 at 8:00 AM End: Dec 06, 2025 at 9:30 AM

Labs Not Created

No lab exercises have been created for this module yet.

Sections

Performance Optimization

Description:

Following topics will be covered in this module.

Topics:

Indexes (Clustered & Non-Clustered)
Query Execution Plans
Statistics and Query Optimisation Techniques
Avoiding Common Performance Pitfalls

Platform: teams Start: Dec 07, 2025 at 8:00 AM End: Dec 07, 2025 at 8:45 AM

Labs Not Created

No lab exercises have been created for this module yet.

Sections

Security and User Management

Description:

Following topics will be covered in this module.

Topics:

Authentication Modes (Windows & SQL Server)
Creating Logins and Users
Granting and Revoking Permissions (GRANT, REVOKE, DENY)
Roles and Security Best Practices
Data Encryption Basics

Platform: teams Start: Dec 07, 2025 at 8:46 AM End: Dec 07, 2025 at 9:30 AM

Labs Not Created

No lab exercises have been created for this module yet.

Sections

T-SQL Programming

Description:

Following topics will be covered in this module.

Topics:

Variables and Control Flow (IF, WHILE)
Dynamic SQL
Error Handling (TRY...CATCH)
Triggers (AFTER, INSTEAD OF)

Platform: teams Start: Dec 13, 2025 at 8:00 AM End: Dec 13, 2025 at 9:00 AM

Labs

Instructions:

Download & Load the Dataset:
Import the provided PostgreSQL tables into your local database environment.
Understand the Business Problem:
Read the lab description carefully to understand the business objective you are solving with SQL.
Write SQL Queries:
Use appropriate SQL concepts such as joins, aggregations, window functions, CTEs, and subqueries to analyze the data and generate insights.
Validate Results:
Ensure your query results are accurate, formatted clearly, and aligned with the business questions.

Description:

In this lab, you are positioned as a data analyst working with a regulated industry (such as finance or telecom) where monitoring high-risk activities and enforcing compliance is critical. Using a PostgreSQL database with transaction logs, customer profiles, alerts, and rule-based flags, you will use SQL to detect anomalies, potential fraud, and compliance violations. You will also design exception reports to ensure that regulatory thresholds, audit trails, and risk metrics are met.

Key Deliverables:

Develop SQL queries to identify suspicious transactions, rule breaches, and compliance gaps.
Segment users or accounts based on risk category and behavior triggers.
Generate alerts and exception reports with severity levels and resolution recommendations.
Propose strategies to reduce compliance risk and improve detection frameworks.

This lab builds your expertise in SQL for governance, fraud analytics, and real-time risk monitoring—an essential skill in banking, insurance, fintech, and regulatory environments.

Associated Product

Risk and Compliance Monitoring

Group: Use Case

Category: Database Design & Development

Subcategory: PostgreSQL

Price: $2.00 $1.25 37% OFF

Instructions:

Download & Load the Dataset:
Import the provided PostgreSQL tables into your local database environment.
Understand the Business Problem:
Read the lab description carefully to understand the business objective you are solving with SQL.
Write SQL Queries:
Use appropriate SQL concepts such as joins, aggregations, window functions, CTEs, and subqueries to analyze the data and generate insights.
Validate Results:
Ensure your query results are accurate, formatted clearly, and aligned with the business questions.

Description:

In this lab, you take on the role of an analytics specialist responsible for monitoring and improving user engagement on a digital platform. Using a PostgreSQL-based dataset that captures user sessions, clicks, watch time, interactions, and feature usage, you will build SQL-driven engagement dashboards that reveal how users interact with the platform. You will apply advanced SQL techniques to calculate engagement metrics, segment users based on activity, identify drop-off patterns, and surface actionable insights for product and marketing teams to drive higher retention and session time.

Key Deliverables:

Write SQL queries to track user engagement metrics such as daily active users (DAU), session frequency, average watch time, and feature adoption.
Build engagement cohorts to compare new vs returning users over time.
Identify user drop-off points, inactivity segments, and underused platform features.
Provide recommendations to improve user retention, session depth, and overall engagement.

This lab helps you master SQL for behavioral analytics, product intelligence, and real-time decision-making based on user interaction data.

Associated Product

User Engagement Analytics Dashboard Using SQL

Group: Use Case

Category: Database Design & Development

Subcategory: PostgreSQL

Price: $1.80 $1.40 22% OFF

Sections

Live Capstone Project

Description:

E-commerce Order Database — Track customers, orders, payments, and inventory.

Platform: teams Start: Dec 13, 2025 at 9:01 AM End: Dec 13, 2025 at 9:30 AM

Labs

Instructions:

Download & Load the Dataset:
Import the provided PostgreSQL tables into your local database environment.
Understand the Business Problem:
Read the lab description carefully to understand the business objective you are solving with SQL.
Write SQL Queries:
Use appropriate SQL concepts such as joins, aggregations, window functions, CTEs, and subqueries to analyze the data and generate insights.
Validate Results:
Ensure your query results are accurate, formatted clearly, and aligned with the business questions.

Description:

This capstone lab places you in a more senior role: you’re responsible for the end-to-end analytics & operations stack for a fictitious enterprise (modeled on the classic AdventureWorks corporate database scenario). Using a PostgreSQL schema you will combine data modelling, query engineering, performance tuning and analysis across departments (sales, manufacturing, supply chain, customer service). You’ll produce complex SQL solutions (e.g., CTEs, window functions, partitioning), build dashboards or aggregated tables for operations and business intelligence, and deliver recommendations to leadership on operational efficiency, revenue growth or cost reduction.
Key deliverables:

Refine or extend the schema (add indexes, partitions) for performance.
Write advanced SQL queries that deliver business-operational reports (e.g., order lead time, production backlog, inventory turnover, customer returns).
Join data across domains (sales, supply chain, service) to uncover cross-functional insights.
Summarize your findings and propose improvement actions for the business (e.g., reduce order fulfilment time, improve customer satisfaction, streamline manufacturing).

This lab deepens your SQL engineering expertise: not just querying but structuring, optimizing and producing analytics outputs for real-world enterprise operations.

Associated Product

Advanced SQL Engineering with Adventure Works: End to End Analytics & Operations

Group: Capstone Project

Category: Database Design & Development

Subcategory: PostgreSQL

Price: $15.99 FREE

Instructions:

Download & Load the Dataset:
Import the provided PostgreSQL tables into your local database environment.
Understand the Business Problem:
Read the lab description carefully to understand the business objective you are solving with SQL.
Write SQL Queries:
Use appropriate SQL concepts such as joins, aggregations, window functions, CTEs, and subqueries to analyze the data and generate insights.
Validate Results:
Ensure your query results are accurate, formatted clearly, and aligned with the business questions.

Description:

In this intermediate-to-advanced capstone assignment, you’ll tackle the full analytics and engineering challenge of a multi-restaurant food-delivery ecosystem (like multiple restaurants, orders, delivery fleets, customers, menus). Using PostgreSQL you’ll load and model data, handle engineering tasks (ETL-style, schema design, index tuning), and then write complex analytics to answer business questions: Which restaurants are most profitable? Which menu items drive repeat orders? What is the delivery fleet performance? Which geographic zones need improvement? You’ll present your SQL-powered analysis and engineering decisions alongside actionable business recommendations.
Key deliverables:

Design or refine a normalized schema for restaurants, orders, customers, deliveries, menus and items.
Engineer queries that track metrics like order volume per restaurant, delivery time distributions, item profitability, customer repeat-rate, geo heat-maps of demand.
Use window functions, CTEs, and performance-aware techniques to derive insight from large datasets.
Present a summary report (SQL output + recommendation deck) addressing operational problems (e.g., under-performing restaurants, delivery bottlenecks, menu optimization).

This lab combines SQL engineering and analytics for a high-stakes business domain (food delivery) and is ideal for showcasing your ability to build and analyze complex systems end-to-end.

Associated Product

Multi Restaurant Food Delivery Analytics and Engineering Capstone Project with SQL

Group: Capstone Project

Category: Database Design & Development

Subcategory: PostgreSQL

Price: $15.00 $8.99 40% OFF

Sections

Job Interview Preparation and Q&A

Description:

Following topics will be covered in this module.

Know your Resume
Company & Role Research
Technical & Aptitude Prep
Soft Skills & Body Language
Common Questions & How to Answer
Mock Interview Demo & Roleplay

Platform: teams Start: Dec 14, 2025 at 8:00 AM End: Dec 14, 2025 at 9:30 AM

Labs Not Created

No lab exercises have been created for this module yet.

About This Cohort

Learning Outcome

Ratings & Reviews

Student Feedback

Overall Rating

★ ★ ★ ★ ★★

4.7 (43)

★ ★ ★ ★ ★

"I had a great discussion with you about my skills and my transition into Data Engineering. He patiently reviewed my background, understood my goals, and provided clear, practical guidance on how to make the switch successfully. His advice was honest, insightful, and gave me a clear roadmap to start my Data Engineering journey with confidence. What impressed me the most was that he offered all this guidance completely free of cost, genuinely wanting to help. I truly appreciate his time, knowledge, and willingness to mentor others. I highly recommend connecting with him if you're looking for career guidance or planning a transition into Data Engineering."

sumanta kar

Jul 13, 2026

★ ★ ★ ★ ★

"I had an amazing one to one call with Rahul. He provided me with all the points necessary before a major interview. His way of explaining the concepts is accurate and to the point. He listens to all the queries and promptly provides the solution for them."

Shashi Choudhary

Jul 10, 2026

★ ★ ★ ★ ★

"The session was good."

Vinod Biradar

Jul 7, 2026

★ ★ ★ ★ ★

"⭐⭐⭐⭐⭐ I had a great experience connecting with Rahul Sir for guidance on the Data Engineering roadmap. He provided a clear, structured, and practical learning path, making it easy to understand what to focus on at each stage. He patiently answered all my questions and shared valuable insights based on his experience. His guidance has given me the confidence and clarity to move forward in my Data Engineering journey. I truly appreciate his time, support, and mentorship. Highly recommended to anyone looking for genuine career guidance!"

Bhakta Charan Nanda

Jul 7, 2026

★ ★ ★ ★ ★

"Completed, Very useful to crack the interview"

S.Sriranga prasath prasath

Jun 12, 2026

★ ★ ★ ★ ★

"The way Rahul delivered the session was amazing"

Vilasagaram Saishiva

Jun 12, 2026

★ ★ ★ ★ ★

"Very Good experience with Rahul as mentor. He explained concepts in very well and detailed manner. Thanks Rahul for giving such an informative session."

Sachin Gorade

Jun 11, 2026

★ ★ ★ ★ ★

No written review.

Kundan Kumar

Jun 11, 2026

★ ★ ★ ★ ★

"good informative session for pyspark architecture"

seshadri sastry

Jun 9, 2026

★ ★ ★ ★ ★

"Session was good. Got to know new things"

Gaurav Patil

Jun 9, 2026

★ ★ ★ ★ ★

"It is completely meaningful and complete insights provided by Rahul on Apache spark."

Parag Kulkarni

Jun 8, 2026

★ ★ ★ ★ ★

"Had a great connect with Rahul on AI career guidance for freshers. The guidance was practical, clear, and helped understand the right direction to move forward. What stood out was the genuine discussion around real-world data engineering challenges and how one can grow into a good Data Architect. Honest guidance without any unnecessary upselling - highly recommended for anyone exploring Data Engineering."

Deo Yadav

Jun 7, 2026

★ ★ ★ ★ ★

No written review.

Pradeep Deshnur

Jun 7, 2026

★ ★ ★ ★ ★

"Its good"

Mohd Irfan Shahid

Jun 6, 2026

★ ★ ★ ★ ★

No written review.

magesh s

Jun 6, 2026

★ ★ ★ ★ ★

No written review.

Pavan R Rao

Jun 6, 2026

★ ★ ★ ★ ★

"The content is good"

Pratyush Gupta

Jun 4, 2026

★ ★ ★ ★ ★

"Good master class, i learnt a lot. Keep it up Rahul, thak you for the wonderful session"

DINESHKUMAR BM

Jun 2, 2026

★ ★ ★ ★ ★

"No communication regarding class timings. Emailed. No response. Got response after class. Pls accommodate in next class"

Prashant Mahapatra

Jun 1, 2026

★ ★ ★ ★ ★

No written review.

Venkata Amarnath

Jun 1, 2026

★ ★ ★ ★ ★

"It's a very good session with a lot of details on Spark and even the scenario QnA was awesome"

MaheshChandra R

May 31, 2026

★ ★ ★ ★ ★

"The training session was very useful and covered the topics in a practical and easy-to-understand manner. It enhanced my understanding of the concepts and provided valuable industry insights."

Manickavelayuthum Rajkumar

May 29, 2026

★ ★ ★ ★ ★

"Excellent session"

PRAMOD PAWAR

May 29, 2026

★ ★ ★ ★ ★

"Session was highly informative. Instructor explained each and every topic very well."

DILIP MISHRA

May 29, 2026

★ ★ ★ ★ ★

No written review.

surya teja

May 29, 2026

★ ★ ★ ★ ★

"In depth and easy explanation of complex topics"

rajan joshi

May 29, 2026

★ ★ ★ ★ ★

No written review.

Srinivas Rao

May 29, 2026

★ ★ ★ ★ ★

"4 hours session gives more Spark knowledge and highly recommend"

jilan shaik

May 28, 2026

★ ★ ★ ★ ★

No written review.

Pavan R Rao

May 28, 2026

★ ★ ★ ★ ★

"This Spark Architecture Masterclass was extremely informative and well-structured. The concepts were explained clearly with practical examples, making complex topics like DAG execution, Catalyst Optimizer, and Memory Architecture easy to understand. The real-world case study added great value and connected theory to industry use cases. Highly recommended for anyone looking to strengthen their Spark fundamentals and architecture knowledge."

Abhishek Chaukiyal Chaukiyal

May 26, 2026

★ ★ ★ ★ ★

"The Experience was too good. It helps to undrstand the Spark Architecture in detail deep. I am very thankful to practyc team. I learn a lot in detilas and cleared the concept like DAG architechture fault tolerance and recovery as well as spark memory architecture."

Tusharkumar Veer

May 25, 2026

★ ★ ★ ★ ★

"This Apache Spark Architecture Session is very useful as it contains deep detailed aspects of spark big data processing in easy manner."

Velavan P

May 25, 2026

★ ★ ★ ★ ★

"The spark master class was highly informative and well-structured, making complex concepts easy to understand. The instructor was engaging and practical insights provided were valuable for real world application"

raj me

May 25, 2026

★ ★ ★ ★ ★

"Got overview of the Pyspark and how it works actually Thanks"

Malik konduri

May 24, 2026

★ ★ ★ ★ ★

"very informative, precise content very much helpful for understanding performance tuning, very much helpfull from interview prospect"

Anil Vainala

May 23, 2026

★ ★ ★ ★ ★

"good"

kapil dhadse

May 19, 2026

★ ★ ★ ★ ★

"Wonderful and engaging session"

vinay krishna

May 19, 2026

★ ★ ★ ★ ★

"Great session, it was deep dive on Spark architecture which cleared most of the doubts.Thanks"

mithilesh gangde

May 18, 2026

★ ★ ★ ★ ★

"Great sessions! very informative and interactive learned a lot."

Shailja Rai

May 16, 2026

★ ★ ★ ★ ★

"Wonderfull session conducted by rahul the session was very intractive"

pranjal gautam

May 14, 2026

★ ★ ★ ★ ★

"Very informative session with clear explanations and practical insights into Spark Architecture. Learned a lot about how Spark works under the hood."

raghav gupta

May 14, 2026

★ ★ ★ ★ ★

"Excellent guidance by sir"

pranjal gautam

Apr 26, 2026

★ ★ ★ ★ ★

"Great learning experience."

Rahul Neekhra

Oct 31, 2025

★ ★ ★ ★ ★

"The session was good."

Vinod Biradar

Jul 7, 2026

★ ★ ★ ★ ★

"Completed, Very useful to crack the interview"

S.Sriranga prasath prasath

Jun 12, 2026

★ ★ ★ ★ ★

"The way Rahul delivered the session was amazing"

Vilasagaram Saishiva

Jun 12, 2026

★ ★ ★ ★ ★

"Very Good experience with Rahul as mentor. He explained concepts in very well and detailed manner. Thanks Rahul for giving such an informative session."

Sachin Gorade

Jun 11, 2026

★ ★ ★ ★ ★

No written review.

Kundan Kumar

Jun 11, 2026

★ ★ ★ ★ ★

"good informative session for pyspark architecture"

seshadri sastry

Jun 9, 2026

★ ★ ★ ★ ★

"Session was good. Got to know new things"

Gaurav Patil

Jun 9, 2026

★ ★ ★ ★ ★

"It is completely meaningful and complete insights provided by Rahul on Apache spark."

Parag Kulkarni

Jun 8, 2026

★ ★ ★ ★ ★

No written review.

Pradeep Deshnur

Jun 7, 2026

★ ★ ★ ★ ★

"Its good"

Mohd Irfan Shahid

Jun 6, 2026

★ ★ ★ ★ ★

No written review.

magesh s

Jun 6, 2026

★ ★ ★ ★ ★

No written review.

Pavan R Rao

Jun 6, 2026

★ ★ ★ ★ ★

"The content is good"

Pratyush Gupta

Jun 4, 2026

★ ★ ★ ★ ★

"Good master class, i learnt a lot. Keep it up Rahul, thak you for the wonderful session"

DINESHKUMAR BM

Jun 2, 2026

★ ★ ★ ★ ★

"No communication regarding class timings. Emailed. No response. Got response after class. Pls accommodate in next class"

Prashant Mahapatra

Jun 1, 2026

★ ★ ★ ★ ★

No written review.

Venkata Amarnath

Jun 1, 2026

★ ★ ★ ★ ★

"It's a very good session with a lot of details on Spark and even the scenario QnA was awesome"

MaheshChandra R

May 31, 2026

★ ★ ★ ★ ★

"The training session was very useful and covered the topics in a practical and easy-to-understand manner. It enhanced my understanding of the concepts and provided valuable industry insights."

Manickavelayuthum Rajkumar

May 29, 2026

★ ★ ★ ★ ★

"Excellent session"

PRAMOD PAWAR

May 29, 2026

★ ★ ★ ★ ★

"Session was highly informative. Instructor explained each and every topic very well."

DILIP MISHRA

May 29, 2026

★ ★ ★ ★ ★

No written review.

surya teja

May 29, 2026

★ ★ ★ ★ ★

"In depth and easy explanation of complex topics"

rajan joshi

May 29, 2026

★ ★ ★ ★ ★

No written review.

Srinivas Rao

May 29, 2026

★ ★ ★ ★ ★

"4 hours session gives more Spark knowledge and highly recommend"

jilan shaik

May 28, 2026

★ ★ ★ ★ ★

No written review.

Pavan R Rao

May 28, 2026

★ ★ ★ ★ ★

Abhishek Chaukiyal Chaukiyal

May 26, 2026

★ ★ ★ ★ ★

Tusharkumar Veer

May 25, 2026

★ ★ ★ ★ ★

"This Apache Spark Architecture Session is very useful as it contains deep detailed aspects of spark big data processing in easy manner."

Velavan P

May 25, 2026

★ ★ ★ ★ ★

raj me

May 25, 2026

★ ★ ★ ★ ★

"Got overview of the Pyspark and how it works actually Thanks"

Malik konduri

May 24, 2026

★ ★ ★ ★ ★

"very informative, precise content very much helpful for understanding performance tuning, very much helpfull from interview prospect"

Anil Vainala

May 23, 2026

★ ★ ★ ★ ★

"good"

kapil dhadse

May 19, 2026

★ ★ ★ ★ ★

"Wonderful and engaging session"

vinay krishna

May 19, 2026

★ ★ ★ ★ ★

"Great session, it was deep dive on Spark architecture which cleared most of the doubts.Thanks"

mithilesh gangde

May 18, 2026

★ ★ ★ ★ ★

"Great sessions! very informative and interactive learned a lot."

Shailja Rai

May 16, 2026

★ ★ ★ ★ ★

"Wonderfull session conducted by rahul the session was very intractive"

pranjal gautam

May 14, 2026

★ ★ ★ ★ ★

"Very informative session with clear explanations and practical insights into Spark Architecture. Learned a lot about how Spark works under the hood."

raghav gupta

May 14, 2026

★ ★ ★ ★ ★

sumanta kar

Jul 13, 2026

★ ★ ★ ★ ★

Shashi Choudhary

Jul 10, 2026

★ ★ ★ ★ ★

Bhakta Charan Nanda

Jul 7, 2026

★ ★ ★ ★ ★

Deo Yadav

Jun 7, 2026

★ ★ ★ ★ ★

"Excellent guidance by sir"

pranjal gautam

Apr 26, 2026

Live Cohort : Master The SQL & Advanced SQL Programming

Pricing

$44.74 $239.27 81% OFF

Live Course:

$29.00 $199.00 85% OFF

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$40.27 $15.74 60% OFF

Instructor Details

Rahul Neekhra

★ ★ ★ ★ ★★ 4.7 (43)

Country: India

Industry: Data Science & Analytics

Experience: 18 years

About: I’m a Data & AI Solutions Architect with 17+ years of experience building scalable data platforms, analytics systems, and business intelligence solutions. My work focuses …

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Live Cohort : Master The SQL & Advanced SQL Programming

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