Data Engineering Course With Placement | Zen Class
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Data Engineering Course

From Design To Implementation!

Data Engineering Course

From Design To Implementation!
  • 100% Placement Support
  • Industry Led Curriculum
  • Hands on Training
  • 20+ Projects
  • IIT-M Pravartak certification
  • Official AWS Certification
  • 50+ Interviews Guaranteed
  • Industry Led Curriculum
  • Hands on Training
  • 20+ Projects
  • Industry-recognized IIT-M Pravartak certification

 5 Months (weekend) | Live Online Classes

Eligibility : Graduates & Working Professionals

5 Months (weekend) | Live Online Classes

Eligibility : Graduates & Working Professionals

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Description

Description

IIT-M Pravartak Certified Advanced Programmer with Data Engineer Mastery Program is a leading-edge Technological Program paving your way to an assured lucrative career. It is an integrated course directed by GUVI - an IIT-Madras incubated company. Instructed by the industry’s best Technical Experts & Founders(Ex-Paypal Employees), this program offers mentorship through Data Engineering Experts and directs you to the Fortune 500 companies. The vision is to make the premium organizations discover the Right Talent.

 

Why GUVI?

Why GUVI?

Indian Institute of  Technology, Madras

Zen Class is one of the industry’s leading Project Based Career Programs offered by GUVI that promises 100% Job Placement Support on completing the course. Conducted by an IIT Madras incubated company & designed by our Founders(Ex-Paypal Employees) also offers mentoring through experts from companies like Google, Microsoft, Flipkart, Zoho & Freshworks for placing you in top companies with high salaries.

We are accredited by

We are accredited by

Indian Institute of Engineering and Technology, Madras

Program Eligibility

Program Eligibility 

Check the only eligibility criteria that we have for our Zen class: Students & Working Professionals, seeking opportunities to upskill their Data Engineering proficiency for faster career growth.

 

Program Overview

A program designed by IIT Experts approved by NASSCOM

Live Online Classes + Lifetime recorded videos

Unlimited access to practice CodeKata, Webkata and IDE

One-on-One with Mentors

Ask me anything sessions with Industry Experts

Globally Recognized Certification from IIT-Madras(Hard Copy)

A digital portfolio through "Github"

Upto 12 months of EMI options available + 7-day Refund Policy

100% Job Placement Assistance - 50+ Interview

Globally Recognized Certification from IIT-M Pravartak

A digital portfolio through "Github"

Upto 12 months of EMI options available + 7-day Refund Policy

100% Job Placement Assistance - 50+ Interview

Our Awards & Achievements

"Most Trusted Vernacular Edtech Brand" 

Awarded by ZEE Digital during ZEE National Achievers Awards 2022.

AI-for-India 1.0 -  Guinness World Record Holder

Broke the Record for most users taking an online computer programming lesson in 24 Hrs.

"Best Online Personalised Learning Programs" 

Awarded by ENTREPRENEUR INDIA for having the best online personalized learning programs

Become a Certified Data Engineer Expert

Master the Data Engineering with IIT-M Pravartak certification for an Advanced Programming Professional

Learn from Industry Experts

Learn from Industry Experts

Get personalized mentorship and guidance from several Industry experts who work in leading companies

Curriculum

Curriculum

Get introduced to the different aspects of Data Engineering and stay abreast with the advanced tools and technologies that go hand-in-hand to make a brand a fire. Master the Data Engineering skills that the present tycoons & top Data Engineers follow!

Live Classes with Mentor Support

Live Classes


Tools Covered

Live Classes

Python Programming
  • Why Python
  • Python IDE
  • Hello World Program
  • Variables & Names
  • Data structures and
  • algorithms 
  • String Basics
  • List
  • Tuple
  • Dictionaries
  • Conditional Statements
  • For and While Loop
  • Functions
  • Numbers and Math
  • Functions
  • Common Errors in Python
  • Functions as Arguments
  • List Comprehension
  • File Handling
  • Debugging in Python
  • Class and Objects
  • Lambda, Filters and Map
  • Python PIP
  • Read Excel Data in
  • Python
  • Python MySQL
  • Iterators
  • Pickling
  • Try and exceptions
  • Regular expression 
  • Rest API using Flask
  • Serialization  
  • Postman 
  • Assignment & Assessments
Database (Primary)

SQL 

  • Data Modelling,
  • Normalization, and Star Schema
  • ACID transactions
  • Fact & Dimension Tables
  • Data Partitioning by Date stamp
  • DDL (create statements)
  • Select, insert, update & delete (DML)
  • CTE 
  • Joins
  • Window functions (rank, dense rank, row number etc)
  • Data Types, Variables and Constants
  • Conditional Structures (IF, CASE, GOTO and NULL)
  • Stored procedures and Functions 
  • Integrating python with SQL


NoSQL

  • CAP Theorem 
  • Structured and unstructured data 
  • OLTP vs OLAP
  • Horizontal vs Vertical Scaling
  • Dimensional modelling

Relational Databases 

  • MySQL

NoSQL Databases 

  • MongoDB
  • CRUD operations 
  • Cluster set up
  • Monitoring 
Shell Script
  • Basic Shell script commands
  • Creating Frameworks
  • Cron jobs
  • Email alerts
  • Git – version control
  • Basics of Linux commands
Orchestrator
  • Airflow
  • ETL/ELT Proces
Cloud Services
  • Cloud Storage
  • Cloud data warehouse
  • Cloud data processors
  • Cloud VM’s
  • AWS Services overview
  • S3
  • EC2
  • Lambda
  • RDS – MySQL Free tier database 
  • Glue 
  • Athena 
  • Cloud watch
  • IAM
  • Assignments & Assessments  
Data Visualization using Matplotlib, Seaborn and Plotly Dash
  • Read Complex JSON files
  • Styling Tabulation
  • Distribution of Data - Histogram
  • Box Plot
  • Pie Chart
  • Donut Chart
  • Stacked Bar Plot
  • Relative Stacked Bar Plot
  • Stacked Area Plot
  • Scatter Plots
  • Bar Plot
  • Continuous vs Continuous Plot
  • Line Plot
  • Assignment: Covid Data Visualization

Tools Covered

Big Data - Pyspark API & Spark
  • Introduction to Big Data
  • HDFS (Hadoop File System) architecture
  • MapReduce Algorithm
  • Common MapReduce tasks
  • Large Workflows for multiple MapReduce jobs
  • Hadoop Ecosystem – Hive, Pig, Sqoop, Flume, Oozie, Zookeeper, HCatalog, HBase and YARN.
  • Introduction to Apache Spark
  • Hadoop vs Spark
  • Streaming data handling in Spark
  • Spark batch data processing (CSV, Json, parquet files)
  • Data Integration and Transformation using OCI (Oracle Cloud Infrastructure)
  • AWS/GCP Data Management Tools [EMR, Athena, Glue]
  • Assignment & Assessments
Data Cleaning
  • Structured vs Unstructured Data
  • Common Data issues and how to clean them
  • Textual data cleaning
  • Meaningful data transformation (Scaling and 
    Normalisation)
  • Example: Movies DataSet Cleaning
Capstone Project:
  • Data collection 
  • Cleaning
  • Transformation and visualization
Data security & Privacy
  • Encryption 
  • Key management
  • Data governance & integrity 
Monitoring Data Pipelines
  • Prometheus 
  • Data dog
Infrastructure as code
  • Containerization of Applications & Docker Containers
  • Docker swarm 
  • Kubernetes 
  • Terraform IAAS 

Live Classes

Technologies covered

Tools Covered

Curriculum

Curriculum

Get introduced to the different aspects of Data Engineering and stay abreast with the advanced tools and technologies that go hand-in-hand to make a brand a fire. Master the Data Engineering skills that the present tycoons & top Data Engineers follow!

Live Classes with Mentor Support

Live Classes


Python Programming
  • Why Python
  • Python IDE
  • Hello World Program
  • Variables & Names
  • Data structures and
  • algorithms 
  • String Basics
  • List
  • Tuple
  • Dictionaries
  • Conditional Statements
  • For and While Loop
  • Functions
  • Numbers and Math
  • Functions
  • Common Errors in Python
  • Functions as Arguments
  • List Comprehension
  • File Handling
  • Debugging in Python
  • Class and Objects
  • Lambda, Filters and Map
  • Python PIP
  • Read Excel Data in
  • Python
  • Python MySQL
  • Iterators
  • Pickling
  • Try and exceptions
  • Regular expression 
  • Rest API using Flask
  • Serialization  
  • Postman 
  • Assignment & Assessments
Database (Primary)

SQL 

  • Data Modelling,
  • Normalization, and Star Schema
  • ACID transactions
  • Fact & Dimension Tables
  • Data Partitioning by Date stamp
  • DDL (create statements)
  • Select, insert, update & delete (DML)
  • CTE 
  • Joins
  • Window functions (rank, dense rank, row number etc)
  • Data Types, Variables and Constants
  • Conditional Structures (IF, CASE, GOTO and NULL)
  • Stored procedures and Functions 
  • Integrating python with SQL


NoSQL

  • CAP Theorem 
  • Structured and unstructured data 
  • OLTP vs OLAP
  • Horizontal vs Vertical Scaling
  • Dimensional modelling

Relational Databases 

  • MySQL

NoSQL Databases 

  • MongoDB
  • CRUD operations 
  • Cluster set up
  • Monitoring 
Shell Script
  • Basic Shell script commands
  • Creating Frameworks
  • Cron jobs
  • Email alerts
  • Git – version control
  • Basics of Linux commands
Orchestrator
  • Airflow
  • ETL/ELT Proces
Cloud Services
  • Cloud Storage
  • Cloud data warehouse
  • Cloud data processors
  • Cloud VM’s
  • AWS Services overview
  • S3
  • EC2
  • Lambda
  • RDS – MySQL Free tier database 
  • Glue 
  • Athena 
  • Cloud watch
  • IAM
  • Assignments & Assessments  
Big Data - Pyspark API & Spark
  • Introduction to Big Data
  • HDFS (Hadoop File System) architecture
  • MapReduce Algorithm
  • Common MapReduce tasks
  • Large Workflows for multiple MapReduce jobs
  • Hadoop Ecosystem – Hive, Pig, Sqoop, Flume, Oozie, Zookeeper, HCatalog, HBase and YARN.
  • Introduction to Apache Spark
  • Hadoop vs Spark
  • Streaming data handling in Spark
  • Spark batch data processing (CSV, Json, parquet files)
  • Data Integration and Transformation using OCI (Oracle Cloud Infrastructure)
  • AWS/GCP Data Management Tools [EMR, Athena, Glue]
  • Assignment & Assessments
Data Cleaning
  • Structured vs Unstructured Data
  • Common Data issues and how to clean them
  • Textual data cleaning
  • Meaningful data transformation (Scaling and 
    Normalisation)
  • Example: Movies DataSet Cleaning
Data Visualization using Matplotlib, Seaborn and Plotly Dash
  • Read Complex JSON files
  • Styling Tabulation
  • Distribution of Data - Histogram
  • Box Plot
  • Pie Chart
  • Donut Chart
  • Stacked Bar Plot
  • Relative Stacked Bar Plot
  • Stacked Area Plot
  • Scatter Plots
  • Bar Plot
  • Continuous vs Continuous Plot
  • Line Plot
  • Assignment: Covid Data Visualization
Monitoring Data Pipelines
  • Prometheus 
  • Data dog
Infrastructure as code
  • Containerization of Applications & Docker Containers
  • Docker swarm 
  • Kubernetes 
  • Terraform IAAS 
Data security & Privacy
  • Encryption 
  • Key management
  • Data governance & integrity 
Capstone Project:
  • Data collection 
  • Cleaning
  • Transformation and visualization

Technologies covered

Tools Covered

Benefits of GUVI's Zen Class

100% Placement Support

LIVE Online Classes

One-on-One with Mentors

Free Demo Classes

Industry oreinted Projects

₹21 Lakhs Highest Salary 

EMI options available

Ask me anything sessions

Designed by Industry experts

Certification from GUVI

175% Highest Hike

200+ Hiring Partners

Benefits of Zen Class

100% Placement Support

Weekend LIVE classes

One-on-One with Mentors

Free Demo Classes

Industry-oreinted Projects

₹21 Lakhs Highest Salary

Designed by Industry Experts

Certification approved by NASSCOM

200+ Hiring Partners

175% Highest Hike

Expert Data Engineering Certificate

With IIT-M Pravartak certification for an Advanced Programming Professional Certificate

Official AWS Certification

Steps to become an Expert Data Engineer 

Get Placed in Top IT Companies

Step 1

Enroll in our Data Science coursework

Step 2

Attend Live classes + Pursue self-paced learning

Step 3

Complete the projects assigned by Industry Experts

Step 4

Secure a Digital Portfolio in “Github”

Step 5  

Attend Mock Interviews with our HR team & Technical Round with Industry Experts

Step 6

Receive Interview opportunities with Companies

Step 7

Attend & clear the Interview with splendid packages

Certification from GUVI

Certification

  • Certificate will be issued after the successful completion of the course by GUVI.
  • Get Certified for each module
  • Globally recognized enough to outshine in Interviews.
  • Showcases your talent & skillset on LinkedIn.

Pay just Rs 8000 (Refundable) and Pre-Book your seat

Program Fee

₹89,999

(without IIT-M Pravartak Certification)

Program Fee

₹1,30,095  ₹1,23,900

(with IIT-M Pravartak Certification)

Start learning today & Pay in easy EMIs! Get maximum flexibility to learn at your own pace. EMI Options available

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Where do our Students work?

& more

Our Happy Learners about us!

Frequently Asked Question

What is Data Engineering?

Data engineering is the technique of designing and creating systems that can efficiently collect, store, and interpret data for analytical or operational uses. It is an aspect of data science that focuses on practical data applications.

Who is eligible for this program?

There is just one eligibility criteria for ZEN Class: Students & Working Professionals seeking an opportunity to upskill their Data Engineering proficiency for faster career growth. To keep the chances fair, we provide a PreBootcamp session for Zen Class Interested students to understand how ready they are to be a Data Engineer. A Small Eligibility test is conducted right after the Pre-Bootcamp will provide you with a final ticket to be part of Zen Bootcamp.

I’m from a non-engineering background or New to programming. Am I eligible for this course?

With the objective of creating as many job opportunities for our students, we do intend to help every student who is willing to “make the extra catching up needed” in terms of understanding Business & Data Analysis. We assess this via a comprehensive PreBootcamp where you can understand how ready you are for the Zen Bootcamp. In case you don’t make the eligibility,our mentors will charter the course aheads for you with some Guvi Lessons.
 

Which companies will I be given opportunities for placements?

We have partnered with over 200 + companies including Paypal, Freshworks,Zoho, Juspay, DBS, Scapic, OrangeScape, etc.
 

Does this Program assure job placement?

This comprehensive Data Engineering program assures 100% placement support. From training to getting placed in a  company, this program will support you in procuring the essential skills, provide additional training for interpersonal skill-building, hand-over industry-recognized certifications, assist you in clearing the tedious interview process, and finally fit into the job position.    

Will this program provide any certification?

Along with 100% job placement support, this Data Engineering Program extends an industry-recognized certification from the IIT-M incubated company GUVI. Procure the essential skills and make an extraordinary career in Data Engineering !

What is the duration & mode of the session?

Our comprehensive program is a 3 Months (weekday) / 5 Months (weekend) Certification Bootcamp that will facilitate live online subject-matter expert-driven classes. 

How is this program different from the other programs?

Promising hands-on training, our program comprises live sessions + 20+ Projects, guaranteeing 50+ interviews complemented with resume reviews and a real-time project portfolio. 

What tools are covered in this program?

The tools & technologies covered in this program include Python, SQL, Shell Script, Orchestrator, Cloud Services, Big Data, Data Cleaning, Data Visualization, etc. 

Still have queries? Contact Us

Request a Callback. An expert from the admissions office will call you in the next 24 working hours. You can also reach out to us at [email protected] or  +91-9736097320

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