Data Engineering (BigData) & Data Analytics (Power BI) 2025

(Batches Start in June, July & August 2025)

About The Program

At Regex Software, we offer one of the most comprehensive Data Engineering & Data Analytics online courses, specifically designed for aspiring data professionals who want to dive deep into the world of Big Data, data pipelines, cloud infrastructure, and advanced analytics. With data now at the center of every decision-making process, our program equips learners with the essential tools and skills to manage, process, and analyze vast datasets using modern technologies.

This specialization covers key areas such as Big Data architecture, distributed systems, Apache Hadoop, Spark, Kafka, data modeling, ETL development, cloud data platforms (like AWS and GCP), and SQL/NoSQL databases. Alongside, we integrate Data Analytics techniques using tools like Python, Power BI, and advanced SQL to derive actionable insights from data.

Our Data Engineering & Data Analytics online course ensures hands-on experience through real-world projects, resume reviews, mock interviews, and personalized mentorship to make you job-ready. Whether you’re a beginner or a professional aiming to upskill, Regex Software’s training is tailored to industry standards and hiring trends.

Start your journey to become a future-ready Data Engineer or Data Analyst with the right mix of technical knowledge and practical exposure—only at Regex Software.

Key Benefits & Perks

  • Get Summer Internship Offer Letter
  • Need to Spend Min. 5 hours with REGex
  • Get Internship Project Completion Certificate
  • No Previous Knowledge Required
  • Get Summer Training Certificate
  • Get Performance based Letter of Recommendation (LOR)

June Batches Dates

Batch 1: 02nd June 2025
Batch 2: 09th June 2025
Batch 3: 16th June 2025
Batch 4: 23rd June 2025
Batch 5: 30th June 2025

July Batches Dates

Batch 1: 07st July 2025
Batch 2: 14th July 2025
Batch 3: 21th July 2025
Batch 4: 28th July 2025

August Batches Dates

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

Weekly Duration

Location

Duration

Participants

20 Hours Per week

Physical (Jaipur)
or 
Online (Google Meet)

 

45 – 60 Days

 

25 – 30 per Batch

What you will Learn

What you will Learn

  • Linux basics 
  • Big Data Analytics & Hadoop
  • HDFS [ Hadoop Distributed File System ]
  • Map-Reduce [ Data Processing ]
  • HIVE
  • Apache Spark on Azure DataBricks
  • Neo4j Graph Analytics & NoSQL DataBase
  • Amazon EMR
  • Learn how to use these tools in the field of Data Analytics

Study Material

  • E-Notes
  • Assignments per day
  • Poll test per day
  • Live & Hands-on-Session
  • Access of Lecture Videos & Notes
  • 24*7 Mentorship Support
  • Working on Live Projects 

Output

  • Help you in Data Analytics Domain
  • Able to think out of the box
  • Expertise in different Big Data Tools like HDFS, Hive, Apache Spark, Amazon EMR
  • Able to solve many Interview Questions of Top MNCs
  • Able to get package of Data Analyst 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.

Placed Students//Partnership

What People Tell About Us

Placed Students

Course Content

  • Basics of Python 
  • OOPs Concepts
  • File & Exception Handling
  • Working with Pandas, Numpy & Matplotlib
    ■ Working with Missing Data
    ■ Data Grouping
    ■ Data Subsetting
    ■ Merging & Joining Data Frames
  • Importing Libraries & Datasets

● History of Hadoop
● Distributed File System
● What is Hadoop
● Characteristics of Hadoop
● RDBMS Vs Hadoop
● Hadoop Generations
● Components of Hadoop
● HDFS Blocks and Replication
● How Files Are Stored
● HDFS Commands
● Hadoop Daemons

● Difference between Hadoop 1.0 and 2.0
● New Components in Hadoop 2.x
● YARN/MRv2
● Configuration Files in Hadoop 2.x
● Major Hadoop Distributors/Vendors
● Cluster Management & Monitoring
● Hadoop Downloads

● What is Spark?
● History of Spark
● Spark Architecture
● Spark Shell

● RDD Basics
● Creating RDDs in Spark
● RDD Operations
● Passing Functions to Spark
● Transformations and Actions in Spark
● Spark RDD Persistence

● Pair RDDs
● Transformations on Pair RDDs
● Actions Available on Pair RDDs
● Data Partitioning (Advanced)
● Loading and Saving the Data

● Accumulators
● Broadcast Variables
● Piping to External Programs
● Numeric RDD Operations
● Spark Runtime Architecture
● Deploying Applications

● Spark SQL Overview
● Spark SQL Architecture

● What is Spark streaming?
● Spark Streaming example

Power BI

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

 

 

    • Introduction
    • What is a “Data Model”?
    • Principles of Database Normalization
    • Understanding Data Tables vs. Lookup Tables
    • Understanding Table Relationships vs. Merged Tables
    • Creating Table Relationships in Power BI Desktop
  • Snowflake Schemas in Power BI
  • Managing & Editing Table Relationships in Power BI Desktop
  • Managing Active vs. Inactive Relationships
  • Understanding Relationship Cardinality
  • Connecting Multiple Data Tables in Power BI Desktop
  • Understanding Filter Flow
  • Two-Way Filters in Power BI Desktop (USE WITH CAUTION!)
  • Hiding Fields from the Power BI Report View
  • New Power BI Desktop “Model” View
  • Introduction
  • Meet Microsoft Power BI Desktop
  • Interface & Workflow
  • Helpful Power BI Resources
  • New Power BI Ribbon
    • 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

 

 

  • Introduction
  • Meet Data Analysis Expressions (DAX)
  • Intro to DAX Calculated Columns
  • Intro to DAX Measures
  • Adding Columns & DAX Measures in Power BI Desktop
  • Implicit vs. Explicit DAX Measures
  • Filter Context Examples in Power BI
  • Understanding DAX Syntax & Operators
  • Common DAX Function Categories
  • DAX Demo: 
    • Basic Date & Time Functions
    • Conditional & Logical Functions (IF/AND/OR)
    • Common Text Functions
    • Joining Data with RELATED
    • Basic Math & Stats Functions
    • COUNT Functions (COUNTA, DISTINCTCOUNT, COUNTROWS)
    • CALCULATE
    • CALCULATE & ALL
    • CALCULATE & FILTER
    • Iterator Functions (SUMX, RANKX)
    • Time Intelligence Formulas
  • FILTER Function
  • LOGICAL Functions
  • MATHEMATICAL Functions
  • STATISTICAL Functions
  • TEXT Functions
  • TIME INTELLEGENT Functions
  • Other Functions
  • Power Query Editor
  • Power BI Aggregation & Template
    • Introduction
    • Exploring the “Report” View in Power BI Desktop
    • Adding Simple Objects to the Power BI Report Canvas
    • Inserting Basic Charts & Visuals in Power BI
    • Conditional Formatting
    • Power BI Report Formatting Options
    • Power BI Report Filtering Options
    • Power BI Demo:
      • Exploring Data with Matrix Visuals
      • Filtering with Date Slicers

 

  • Showing Key metrics with Cards & KPI Visuals

 

    • Inserting Text Cards
    • Visualizing Geospatial Data with Maps
    • Visualizing Data with Treemaps
    • Showing Trends with Line & Area Charts
    • Adding Trend Lines & Forecasts 
    • Goal pacing with Gauge Chart
    • Adding Drillthrough Filters
  • Editing Power BI Report Interactions
  • Managing & Viewing Roles in Power BI Desktop

 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.

Projects you may work on

Live Client Projects With Development Team Under The Guidance Of Mentor

Fee Structure

Indian Fee
(Physical)

[Summer Batch(45-60 days)]

Price: ₹10,000/- (Flat 40% off) => ₹6,000/-
(Early Bird Registration Offer – Extended for First 200 Seats)

 

Indian Fee
(Online)

[Summer Batch(45-60 days)]

Price: ₹10,000/- (Flat 40% off) => ₹6,000/-
(Early Bird Registration Offer – Extended for First 200 Seats)

 

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(Batches Start from June, July & August 2025)

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