What will be the focus of this course?

The Data Engineering course aims to provide aspirants with an in-depth understanding of all the essential tools and skills used by Data Engineers. The course provides hands-on learning on tools like Python, SQL, Spark, Kafka, and many more.

What will be the mode of training?

The training will be conducted in hybrid mode i.e., through the classroom as well as live instructor-led virtual sessions. The timings for both the sessions will be the same.

When do I get to work on live projects?

After the successful completion of 80% of your assignments, you are assigned to a live project where you will work with a group of students to bring the project to closure. After that, you will make a project presentation.

When do I get my certificate?

After the successful completion of the program, you will be awarded the Data Engineering certificate, powered by IBM.

Who all can pursue a Data Engineering course?

This course is designed for students as well as working professionals. The basic requirement to undertake this course includes a degree in engineering, computer applications, or mathematics.

Do I need to pay extra to receive a certificate?

No, there are no extra charges for the certification. The cost is included in the package.

What if I miss out on a session?

Not to worry, if you miss out on a session you can access the recorded session from the online Learning Management System (LMS).

Do I get a job guarantee?

We do not guarantee placements nevertheless, our placement cell supports you with resume building sessions, mock interviews, mentorship, and interview preparation. Our team also helps you launch your career by providing interview opportunities.

Professional Course in Data Engineering

Name: Professional Data Engineering
Brand: 360DigiTMG
Rating: 5 (3117 reviews)

Master Data Engineering tools and techniques On-Premise or on Cloud Platform and gain real-time experience in designing, developing, and maintaining data pipelines.

60 Hours Blended - Online and Classroom
60+ Hours of Assignments and practicals
1+ Capstone projects
Lifetime Learning Management System access

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3117 Learners

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Academic Partners & International Accreditations

360DigiTMG's Professional Course on Data Engineering introduces and explores the various tools needed for Data Engineers to solve modern-day issues. It expands learner's understanding of the numerous skills involved in knowing tools like Python, SQL, Big data tools, Spark, Kafka, Airflow, Databricks, Azure data factory, data lake, Redshift, BigQuery, Synapse, AWS Glue, etc. Participants get a chance to extract raw data from various data sources in multiple formats and transform them into actionable insights, and ingest data into a single, easy-to-query database. They learn to handle huge data sets and build data pipelines to optimize processes for big data analytics. Participants get a chance to dive deeper into advanced data engineering projects that will help in gaining practical experience.

Professional Data Engineering

Program Cost

INR 80,000 65,000/-

(Excluding Taxes)

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Professional Data Engineering Course Overview

The professional course in Data Engineering lets you explore various tools that help you expand your understanding of the various skills involved and the tools needed to ace the job. The students will be trained to extract raw data from various data sources in multiple formats and then transform them into actionable insights, and deploy them into a single, easy-to-query database. Learn to handle huge data sets and build data pipelines to optimize processes for Big Data. Dive deeper into advanced data engineering projects which will help you gain practical experience and skills.
What is Data Engineering?
A Data Engineer collects and transforms data to empower businesses to make data-driven decisions. He/She has to pay attention to security and compliance; reliability and fidelity; scalability and efficiency; and flexibility and portability while designing, operationalizing, and monitoring data processing systems.
360DigiTMG Advantages
Learning Management System (LMS): - Students will be provided with LMS access, which included class recordings, self–paced videos, assignment course works, and reference materials. Data sets, algorithms, etc.
Training faculty with 10+ years of average experience and trained 20,000+ professionals and 10,000+ students from 8-12 countries. Corporate clients include many Fortune 500 companies.
Carries a legacy of training 20,000+ professionals and 10,000+ students from across the globe. Our program has been approved by 3 leading international universities /accreditation bodies.
The curriculum has been meticulously designed by industry experts by considering student communities as well as working professionals.
Career Mentorship & Placement assistance:- A coordinator will be assigned to you until you complete the program for smooth delivery of your training journey with 360DigiTMG

Professional Data Engineering Training Learning Outcomes

These modules will lay out a detailed exposure for Data Engineering tools and techniques. The core of Data Engineering involves an understanding of various techniques like data modeling, building data engineering pipelines, etc. Participants will get a keen understanding of how to handle data. As the course progresses, they get to learn how to design, build as well as maintain the data pipelines and work with big data of diverse complexity and production level infrastructures. Participants will also learn to extract and gather data from multiple sources, build data processing systems, optimize processes for big data, orchestrate the pipelines and much more. Also learn to

Understand the Data Engineering Ecosystem and Lifecycle

Learn to draw data from various files and databases (SQL & NoSQL) – On-premises and Cloud

Acquire skills and techniques to clean, transform, and enrich your data

Learn to scale data pipelines in the production environment

Use of cloud services for designing, and automating the data pipelines

Work with Data warehouses and Data lakes

Understanding cloud-native tools like Redshift, BigQuery, Synapse, etc.

Learn to work with ETL tools: AWS Glue, Azure Data Factory, Google Cloud Data Fusion, etc.

Develop a real-time structured streaming data pipeline with Spark and Kafka

Orchestrate the data pipelines to automate the data ETL tasks with Apache Airflow

Block Your Time

60 hours

Classroom Sessions

60+ hours

Assignments

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Who Should Sign Up?

Science, Maths, and Computer Graduates
IT professionals who want to Specialize in Digital Tech
SQL and related developers or software developers
Students/IT professionals have an interest in Data and Databases
Professionals working in the space of Data Analytics
Academicians and Researchers working with data
Cloud and BigData enthusiasts

Professional Data Engineering Course Modules

1. Intro to Data Engineering

Data Science vs Data Engineering
Data Engineering Infrastructure and Data Pipelines
Data Architectures
- Lambda
- Kappa
- Streaming Big Data Architectures Monitoring pipelines

2. Data Sources

Working with Databases and various File formats (Data Lakes)
- SQL
  - MySQL
  - PostgreSQL
- NoSQL
  - MongoDB
  - Neo4j
  - HBase
- Cloud Sources
  - Microsoft Azure SQL Database
  - Amazon Relational Database Service
  - Google Cloud SQL

3. Concepts of Extra-Load, Extract-Load-Transform, or Extract-Transform-Load paradigms

Python Programming
- Getting started with Python programming for Data Processing
- Data Types
- Python Packages
- Loops and Conditional Statements
- Functions
- Collections
- String Handling
- File handling
- Exceptional Handling
- MySQL Integration
- INSERT, READ, DELETE, UPDATE, COMMIT, ROLLBACK operations
- MongoDB Integration
Pre-processing, Cleaning, and Transforming Data