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

I’m Interested in this Program

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?

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

Indian Institute of Engineering and Technology, Madras

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

Enroll Now

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

Check your eligibility

Check eligibility

Learn from Industry Experts

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

Start Learning

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!

download Syllabus

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

Download Detailed curriculum

Technologies covered

Tools Covered

Curriculum

Download Syllabus

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

Download Detailed curriculum

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

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

Certification approved by NASSCOM

200+ Hiring Partners

175% Highest Hike

Request Demo class

Request a demo class

Expert Data Engineering Certificate

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

Official AWS Certification

Apply Now

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

Get Started

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.

Book your seat now

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

Days

Hours

Minutes

Seconds

Book your seat now

Talk to our Career Counsellor

Book your seat now

Talk to our Career Counsellor

Hurry up. Limited seats only!

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.