Bigdata Specialization Placement Guaranteed Program

BigData Specialization Program

(Batches Start in August, September & October 2025)

About The Program

With the belief to build a healthy ecosystem as per the Industry Standards REGex Software brings a Training/Internship Program on “Power BI & BigData”. We organize Industrial Training/Internship Program for improving the knowledge and skills of the Students/Professionals, so that they can become expert in the field of BigData and get their Dream Job in Software Development Field in Big MNCs.

REGex Software Services’s Big-Data program is a valuable resource for both beginners and experts. This specialization program will introduce you to the domain of Data Engineering include Hadoop, Map-Reduce, Apache Spark, Snowflake, ETL pipelines, Kafka Streaming ,SQL, Power BI, Amazon EMR and much more starting from Basics to Advance. If you want to become Data Engineer / Business Analyst, REGex introduce this program for you.

August Batches Dates

Batch 1: 04^th August 2025Batch 2: 11^th August 2025Batch 3: 18^th August 2025Batch 4: 25^th August 2025

September Batches Dates

Batch 1: 01^st September 2025Batch 2: 08^th September 2025Batch 3: 15^th September 2025Batch 4: 22^nd September 2025Batch 5: 29^th September 2025

October Batches Dates

Batch 1: 06^th October 2025Batch 2: 13^th October 2025Batch 4: 27^th October 2025

Weekly Duration

20 Hours Per week

Location

Physical (Jaipur)or Online (Google Meet)

Duration

8 Months + 6 Months Additional Support

Participants

18 – 20 per Batch

What you will Learn

Linux basics
Big Data Analytics & Hadoop
HDFS [ Hadoop Distributed File System ]
Map-Reduce [ Data Processing ]
Apache Spark on Azure DataBricks
NoSQL DataBase
Data visualization
Power BI
SQL
Power Query & Editor
Dashboard & Graph
AWS
Learn how to use these tools in the field of Data Analytics

Study Material

E-Notes.
Poll Test & Assignments .
Over 450+ hours of Live Video Lectures available on demand.
Accessing lecture videos and notes.
24*7 Mentorship Support
Engaging in real-time project assignments

Output

Help you in Data Analytics Domain
Able to think out of the box
Expertise in different Big Data Tools like HDFS, Apache Spark, AWS
Become expert in multiple technology domains like: Python, SQL, Power BI etc.
Able to solve many Interview Questions of Top MNCs
Understand creating Data Insights by connecting data sets, transform & clean the data into data models and then create chars/graphs to provide visuals of the data
Build Charts/Graphs/Insights of data sets
Work on multiple data sets
Become Power BI Analyst / Power BI Developer after completion of this program
Able to get package in Big MNCs upto 30 LPA

Why Choose Us

Live Sessions

Live Sessions by Expertise Trainers and Access of Recorded Session is also available.

Live Projects

Get a chance to work on Industry Oriented Projects to implement your learning.

24*7 Support

24*7 Mentorship Support available for all Students to clear all of your doubts.

Opportunities

REGex provides Internship / Job opportunities to the best Students in different Companies.

Placement Opportunities in Companies

You can get Internship/Training Opportunities to get placed in HP, DELL, Honeywell, Rightpoint, Frontdoor, Fractal and many more according to your performance.

Package Offered So Far

IT Candidates

4 LPA

4 – 6 LPA

39 LPA

Non-IT Candidates

3 LPA

3.5 – 5 LPA

14.5 LPA

Placement Process

- At REGex Software, we are committed to providing a structured and results-driven training approach to ensure your career success.
  - 🔹 Training & Performance Analysis:
    - Your training will begin from day 1 of your joining, focusing on hands-on learning and practical implementation.
    - Our team will analyze your performance based on assignments, projects and weekly assessments from the second week onwards and we will provide weekly feedback to help you improve.
    🔹 Mandatory Criteria for Placement Opportunities:
    To be eligible for placement opportunities, you must meet the following criteria:
    ✅ 80% attendance in live training sessions.
    ✅ 80% completion and timely submission of assignments & projects.
    ✅ 80% attendance in assessments, including tests, mock interviews, HR interviews and group discussions.
    🔹 Resume Preparation & Placement Process:
    - Between 5.5 to 6 months, our team will provide guidance on resume building and evaluate your resumes accordingly.
    - After completing 75-80% of the program, you will receive details about the placement opportunities based on your performance and company requirements.
    - Placement opportunities will be provided continuously via email, calls and WhatsApp groups, depending on your performance.
  - 🔹 Placement Assurance & Refund Policy (Applicable only for Indian Students Only):
    - This is a Placement Assured Program, with an additional 6-month post-program assistance.
    - IT Graduates who passed out in 2025 or later (Regular B.tech, BCA, M.tech, MCA programs) are assured a minimum salary package of 4LPA upon placement. However, for IT Graduates who passed out in 2024 or earlier, having gaps in their academics, as well as for Non-IT Graduates (graduates other than regular B.tech, BCA, M.tech, MCA programs), the minimum guaranteed package will be 3LPA.
    - In the event that you have attended & completed at least 80% of the program, submitted and finished at least 80% of the assignments, Tests, Mock Interviews & HR Interview and still do not secure a placement then REGEX will refund your fees with a 9% Annual interest rate. Furthermore, Refunds are applicable only within the first 3 days of the demo period and solely in cases where a specific concern is raised regarding the quality of the learning experience provided. You will receive an official notification email from our team on the third day at 7:30 PM, confirming the completion of your demo period. Requests for a refund of the registration amount must be submitted prior to the issuance of this email. No refund requests will be entertained after this time and Even if you discontinue the program prematurely, you are still obligated to pay the full fee to REGex.
  - 🔹 Our Commitment to Your Success:
    At REGex Software, Placement Assurance = Skills + Opportunities.
    We equip you with industry-relevant skills and provide continuous job opportunities based on your performance. However, it is the student’s responsibility to crack interviews and enhance their skills based on feedback.
    For additional support, we offer the flexibility to rejoin previous batches to reinforce concepts and improve understanding.We are dedicated to your career success! 🚀

Placed Students//Partnership

What People Tell About Us

Best IT Training and Internship Company in Jaipur. Highly recommended. Supportive faculties, Management, online and offline sessions access with recording access help every student to concentrate more on learning. Practical Learning and working on live projects with team is a main key highlights of REGEX.

Drishti Khandelwal Ex-Student, Django Batch

The experience of learning in the Institute is really good. I've joined the MERN full stack course doing well. Thanks to the mngt. To provide certified facility. Very helping in solving my queries and Institute provide me to practical knowledge and demo project to improve my skills..... Thnks to Regex software service

Gulshan S Arya Ex-Student, Mearn Stack

This training center is exceptional, providing me with extensive knowledge in various domains and technologies. I enrolled in the Python Django course eight months ago, where I learned website development. Prior to joining this coaching, I struggled with speaking English, but now I have gained the ability to communicate effectively. My experience has been extremely positive, and I strongly recommend joining The Regex Software Services at the earliest opportunity.

Mohit Sharma Ex-Student, python django

Competitive Programming is the best course they have - i am part of both python and C++ course. Cracked several interviews with their course, poll test & assignment are always new and beneficial. Best CP course you will find here, i hope this will be beneficial for you

Yaman Singh Ex-Student, CP Batch

Tushar sir is best in delivery. His approach is mind blowing. I have not found any gap although I am from U.S Lots of Big Data tools I have learnt like Hadoop, Hive, Spark, Sqoop & most amazingly Talend ETL Tools which was the most lovely part of training. every component is told in very simple terms with great practical approach

Josh Well Ex-Student, BigData Batch

I recently joined Python Django(Web Development - Full Stack)Course About Course: - I must say instructor makes every concept simple to understand - No Copy Paste,Every line of code is explained - Even given Assignments to work on - Even given Projects to work on If you looking to learn Python Django I highly recommend to go for this course

Salman Khan Ex-Student, Django Batch

I am from UK & loved the teaching. Competitive Programming was the best experience I had in coding. I can truly say the money I spend is worth it. Go for it guys!!

Jack Ryan Ex-Student, CP Batch

Placed Students

Gunjan Saini National Instruments — Gunjan Saini
National Instruments

Purnima ponrajkumar Indium software — Purnima ponrajkumar
Indium software

Mohammad Atash Shaikh Wipro — Mohammad Atash Shaikh
Wipro

Ayush Kumar srivastava Sopra — Ayush Kumar srivastava
Sopra

Sourav Dash Tek System — Sourav Dash
Tek System

Simran Khatri Techmatrix jaipur — Simran Khatri
Techmatrix jaipur

Madhav Sharma Cognizant — Madhav Sharma
Cognizant

Rajkishor. P. Game Redington India Ltd — Rajkishor. P. Game
Redington India Ltd

Bhuvan Nucleus software — Bhuvan
Nucleus software

Akshay Kachave Talent Sikha — Akshay Kachave
Talent Sikha

Vasavi Uppala NCR coperation — Vasavi Uppala
NCR coperation

Ashish Chauhan wipro — Ashish Chauhan
wipro

Debarya Pal Accenture — Debarya Pal
Accenture

Vritika Vijay Kamra Larsen and toubro infotech — Vritika Vijay Kamra
Larsen and toubro infotech

Mihir Vatsa Infosys — Mihir Vatsa
Infosys

Divyansh Singh Sengar Infosys — Divyansh Singh Sengar
Infosys

Harsha Kumari Bank Of America — Harsha Kumari
Bank Of America

Vatan Gupta Accenture — Vatan Gupta
Accenture

Fardeen Khan Deloitte us — Fardeen Khan
Deloitte us

Divyanshi jain Deloitte — Divyanshi jain
Deloitte

Hritick goyal Ranjio — Hritick goyal
Ranjio

Nishant Kumar cognizant — Nishant Kumar
cognizant

Saquib Mansuri Circulants — Saquib Mansuri
Circulants

Dhanisha sharma TCS — Dhanisha sharma
TCS

Aditya Prasad Capgemini — Aditya Prasad
Capgemini

Sathvika Chekuri Barclays — Sathvika Chekuri
Barclays

Priyanshu Lasod Barclays Arcgate — Priyanshu Lasod
Barclays Arcgate

Jaya Mendhe Accenture — Jaya Mendhe
Accenture

Dipali Jp Morgan Chase & Co. — Dipali
Jp Morgan Chase & Co.

Meenal Hewlett-Packard — Meenal
Hewlett-Packard

Muskan Hewlett-Packard — Muskan
Hewlett-Packard

Praveen Jangid Celebal Tech — Praveen Jangid
Celebal Tech

Linux Operating system / GitHub

Introduction to Linux OS

Basic Commands of linux os
Vi editor
Tar Archieve
User Management and permission
Grep and advance commands

Github - Version control system

Git vs GitHub
Git commands
Git Branches
Branching and merging
Git push vs pull commands

Python

Introduction to Python

What is Python?
History and evolution of Python.
Python’s popularity and use cases.
Setting up Python (installation).
Running Python scripts and using the interactive shell.

Operators in python

Arithmetic Operators(+,-,*,/,//,%,**)
Comparison / Relational Operators (== ,!=)
Assignment Operators
Logical Operators
Bitwise Operators
Identity Operators

Control Flow Structures

Conditional statements (if, elif, else).
Looping structures (for and while loops).
Iterating through sequences (lists, strings, dictionaries).
Range and enumeration.
Using break and continue.

Sequence Data Types

Lists: creation, manipulation, and methods.
Tuples: creation, immutability, and uses.
Dictionaries: key-value pairs and operations.
Sets: unique elements and set operations.
List comprehensions.

Problem Solving on LeetCode

Problem Solving on LeetCode question

Walkthrough on Function

Python Modules & Packages

What is a Module?
Types of Modules
Why Use Modules?
Importing Modules
What is a Package?
Why Use Packages?
Namespace Management
Popular Python Packages (numpy, pandas, flask, django, requests, matplotlib, etc.)

File Handling / Exception Handling

Reading from and writing to files.
Working with different file modes (read, write, append).
Using context managers with files.
Handling errors with try and except.
Raising exceptions.
Handling multiple exceptions.
Using the ‘finally’ block.

Object-Oriented Programming (OOP)

Classes and objects.
Attributes and methods.
Inheritance and encapsulation.
Polymorphism and method overriding.
Constructors and destructors.

Python in the Real World

Real-world case studies.
Job opportunities and career paths.
Contributing to open-source projects.
Staying up to date with Python developments.

Database

SQL / NoSQL

Defining Database
Type of databases
Functional Dependency
Closure of Attributes
Types of Keys: PrimaryKey CandidateKey & Super Key in DBMS
Normalization
Indexing
Transaction and Concurrency Control
Transaction in DBMS
ACID Propertise in DBMS
Joins in DBMS
Create & Alter Table
Constraints in SQL
Sql Queries & Sub Queries
SQL Stored Procedure
View, Cursor & Trigger in SQL
Common Table Expession
Replace Null and Coalesce Function
Running Total In SQL
Subquery
Joins
Analytical functions
Introduction to Indexes]
Views in SQL
PL/SQL

Big Data

Introduction to Big Data

BigData Overview

Map-Reduce Architecture

What is distributed computing
Introduction to Map Reduce
Map Reduce components
How MapReduce works
Word Count execution
Suitable & unsuitable use cases for MapReduce
HDFS vs Map-Reduce
MV1 vs MV2
Wordcount problem

Apache Spark - New generation DE tool

● What is Spark? ● History of Spark ● Spark Architecture ● Spark Shell Working with RDDs in Spark ● RDD Basics ● Creating RDDs in Spark ● RDD Operations ● Passing Functions to Spark ● Transformations and Actions in Spark ● Spark RDD Persistence Working with Key/Value Pairs ● Pair RDDs ● Transformations on Pair RDDs ● Actions Available on Pair RDDs ● Data Partitioning (Advanced) ● Loading and Saving the Data Spark Advanced ● Accumulators ● Broadcast Variables ● Piping to External Programs ● Numeric RDD Operations ● Spark Runtime Architecture ● Deploying Applications

Data lake vs Delta Lake vs Data Warehouse

Spark SQL Introduction
Spark SQL Overview
Spark SQL Architecture
What is Spark streaming?
Spark Streaming example

ETL pipeline using DataFrames

Data cleaning & transformation
Writing optimized queries
Creating and using UDFs
Performance implications
Serialization issues

Introduction to Structured Streaming & Kafka

Performance Tuning & Debugging

Job & Stage Analysis
Spark UI
Caching vs Persistence
Tuning joins, memory, partitions
End-to-end ETL on large dataset

Writing to Data Sinks from Spark Streaming

Sink Targets: Delta Tables, Parquet, PostgreSQL, S3
Streaming Aggregations

Airflow - The Workflow Orchestration

What is Workflow Orchestration?
Why Apache Airflow?
Use-cases: Data Pipelines, ML Pipelines, ELT
Airflow vs other tools
DAGs, Tasks, Operators
Scheduler, Webserver, Worker
Installation & Setup (Local and Cloud)
Install using pip/docker-compose
Set up Airflow UI
Airflow home & config

Power BI

Introducing Microsoft Power BI

Introduction
Meet Microsoft Power BI Desktop
Interface & Workflow
Helpful Power BI Resources
New Power BI Ribbon

Connecting & Shaping Data with Power BI Desktop

- Introduction
- Types of Data Connectors in Power BI Desktop
- The Power BI Query Editor
- Demo: Basic Table Transformations in Power BI
- Power BI Demo:

Working with Text Tools

Numerical Values

Date & Time Tools

Creating a Rolling Calendar

Grouping & Aggregating Records

Pivoting & Unpivoting Data

- Merging Queries in Power BI Desktop
- Appending Queries in Power BI Desktop
- Configuring Power BI Data Source Settings
- Configuring Power BI Query Refresh Settings
- Additional Data Types & Categories in Power BI
- Defining Hierarchies in Power BI Desktop

Importing Models from Excel to Power BI

AWS

Type of Cloud Computing Models

Public Cloud
Private Cloud
Hybrid Cloud

AWS Services for Data Engineering

Capstone Projects & Use Cases

ML & DL Projects
- Titanic Classification
- Carbon Emissions
- Car price analysis
- Drug Prediction
- Hand written Digit Recognition
- CIFAR 10
- CIFAR 100
- Cats vs dogs
- Intel scene Classification
- Transfer Learning
- Object Detection
Power BI Projects & Use Cases
- Importing Models from Excel to Power BI
- Snowflake Schemas in Power BI
- Showing Key metrics with Cards & KPI Visuals
BigData Projects
- Zomato Analysis
- Cricket & Football Data Analysis
- Flipkart Product Data Analytics

Note: Content may Subject to Change by REGex as per Requirement

Extra Sessions

Additinal Session on GIT, Linux, Docker, AWS Basics, Jenkins and many more for all students.

Fee Structure

Indian Fee (Physical)

Price: ₹50,000/-

Indian Fee (Online)

Price: ₹50,000/-

International Fee

Price: $1250

Fee can be paid in No Cost EMI @5000/month

Cashback Policy

You will get your Unique Referral Code after successful paid registration.
You will get ₹2000 Cashback directly in your account for each paid registration from your Unique Referral Code on monthly basis(After Closing Registrations of this program) .
For Example:- If we received 10 paid registration from your Unique Referral Code then you will receive ₹2000*10 = ₹20,000 on monthly basis.

For Frequent Course Updates and Information, Join our Telegram Group

Join 100% Placement Guaranteed
Programs

For Webinar Videos and Demo Session, Join our Youtube Channel

Enroll Now

(Batches Start from August, September & October 2025)

Name *

First

Last

Email *

Mobile Number (WhatsApp) *

Alternate Number

College/University/Organization *

City *

State *

Country *

Qualification *

Passing Year *

Designation (Ex- Student/Professor/Developer etc) *

Which program you want to join? *

Batch Date *

Session Type *

Physical (Gopalpura Bypass, Jaipur)
Physical (Pratap Nagar, Jaipur)
Online

How did you come to know about REGex ? (Ex: Telegram/Friend/Instagram etc) *

*It will help us to reach more

Referral Code (To get Extra Discount as per the Cashback Policy)

*Extra off is applicable on 1 time payment only. Seats can be filled or Price can be increased at any time. Refund policy is not available*

Name

BigData Specialization Program

About The Program

August Batches Dates

September Batches Dates

October Batches Dates

Weekly Duration

Location

Duration

Participants

What you will Learn

Python

SQL

Hadoop

Map Reduce

Data Lake

Data Warehousing

Databricks

ETL

Spark

Snowflake

Airflow

Apache Kafka

No SQL

Power BI

AWS

What you will Learn

Study Material

Output

Why Choose Us

Live Sessions

Live Projects

24*7 Support

Opportunities

Placement Opportunities in Companies

Package Offered So Far

IT Candidates

Non-IT Candidates

Placement Process

Placed Students//Partnership

What People Tell About Us

Drishti Khandelwal Ex-Student, Django Batch

Gulshan S Arya Ex-Student, Mearn Stack

Mohit Sharma Ex-Student, python django

Yaman Singh Ex-Student, CP Batch

Josh Well Ex-Student, BigData Batch

Salman Khan Ex-Student, Django Batch

Jack Ryan Ex-Student, CP Batch

Placed Students

Course Content

Linux Operating system / GitHub

Python

Database

Big Data

Power BI

AWS

Extra Sessions

Fee Structure

Indian Fee (Physical)

Indian Fee (Online)

International Fee

Cashback Policy

Enroll Now

(Batches Start from August, September & October 2025)

Quick Links

What We Offer

Software Services

Address

B-35, 2nd floor next to vasantbahar colony, Gopalpura bypass, Jaipur

+91-9602880219, +91-7852071653

info@regexsoftware.com

+91-9602880219,
+91-7852071653