Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery | Frequency Of Classes |
|---|---|---|---|
| English | Self Study, Virtual Classroom | Video and Text Based | Weekends |
Course Overview
The Post Graduate Program in Data Engineering online course has been created in a way that delivers an understanding of data engineering, implementing security requirements and data protection techniques. The course covers from basic to advanced knowledge of processing large volumes of data to uproot the hidden useful information.
The Post Graduate Program in Data Engineering training offers candidates to learn about real-time data processing, data pipeline, provisioning data storage services, apache Hadoop, data visualization, data governance and compliance control. The Data Engineering course explores the Amazon web services management console, installing instances, creating volumes, working on Relational Database Services and Creating Elastic Block Storage.
The Post Graduate Program in Data Engineering syllabus encourages students to learn about various tools which are handy in Data Engineering, including Scala, DataBricks, Apache Spark, Amazon sagemaker, Azure data lake storage, SQL, MongoDB. The Post Graduate Program in Data Engineering will train you using the Amazon web services cloud platform.
The Highlights
- Post Graduation certificate from Purdue university
- Interactive sessions by IBM experts
- Live online classes by industry experts
- Capstone Projects with Industry datasets
- Master Classes by experienced faculties
- JobAssist program by Simplilearn
- Lifetime access to the e-learning content
Programme Offerings
- 8 months training
- online bootcamp
- Joint Post Graduate Certification
- live sessions
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | Purdue University, West LafayetteIBM |
Post Graduate Program in Data Engineering
Course | Fee |
Post Graduate Program in Data Engineering | Rs.1,69,999 |
- The Post Graduation Program in Data Engineering fee is Rs.1,69,999
- with extra GST charges. Candidates have also an option to pay the fee in installments with various EMI partners collaborated by the course provider.
Eligibility Criteria
For Admission in Post Graduate Program in Data Engineering certification course, the candidate must have a bachelor’s degree and a basic understanding of data-oriented programming, 2 years of work experience will be preferred.
Certification Qualifying Details
Candidates must qualify in their in-course assessments and projects in order to get a Joint Postgraduate completion certificate in Data Engineering from Purdue University and Simplilearn.
What you will learn
After completing the Post Graduate Program in Data Engineering online certification course, candidates will be able to :
- Process data on the AWS and Azure cloud infrastructure
- Design the architecture of data platform
- Extract data from internal CRM system
- Store all data gathered for analytical purpose
- Process large scale data
Who it is for
Graduate students with a basic understanding of object-oriented programming who want to become Data analysts, Data scientists, Data administrators can join the Postgraduate Program in Data Engineering online certification training, 2 years of work experience will be preferred.
Admission Details
Step 1 For a detailed overview of the Post Graduate Program in Data Engineering Online course, visit the official website https://www.simplilearn.com/pgp-data-engineering-certification-training-course
Step 2 Fill in the required details and submit the application.
Step 3 Candidates will be shortlisted by the admission panel
Step 4 Selected candidates will be notified through email
Step 5 Candidates can start the course within 1-2 weeks by paying the fee
Application Details
The Application filling procedure of the Post Graduate Program in Data Engineering training is totally online. Candidates will have to fill the form with the following details :
- Personal details (name, email, DOB, etc)
- Educational details (latest degree, name of college, year of passing, percentage, etc)
- Professional details (current designation, company name, years of professional experience, etc)
The Syllabus
- Learn the essentials of Python programming
- Understand the concepts of SQL and NoSQL
- Learn how to navigate the Hadoop ecosystem and understand how to optimize its use
- Ingest data using Sqoop, Flume, and Kafka
- Implement partitioning, bucketing, and indexing in Hive
- Work with RDD in Apache Spark
- Process real-time streaming data
- Perform DataFrame operations in Spark using SQL queries
- Implement User-Defined Functions (UDF) and User-Defined Attribute
- Functions (UDAF) in Spark
- Understand the fundamental concepts of the AWS platform and cloud
- computing
- Identify AWS concepts, terminologies, benefits, and deployment
- options to meet business requirements
- Identify deployment and network options in AWS
- Understand how to use Amazon EMR for processing the data using
- Hadoop ecosystem tools
- Understand how to use Amazon Kinesis for Big Data processing in
- real-time and analyze and transform Big Data using Kinesis Streams
- Visualize data and perform queries using Amazon QuickSight.
- Describe Azure storage and create Azure web apps
- Deploy databases in Azure
- Understand Azure AD, cloud computing, Azure, and Azure
- subscriptions
- Create and configure VMs in Microsoft Azure
- Implement data storage solutions using Azure SQL Database, Azure
- Synapse Analytics, Azure Data Lake Storage, Azure Data Factory,
- Azure Stream Analytics, Azure Databricks services
- Develop batch processing and streaming solutions
- Monitor Data Storage and Data Processing
- Optimize Azure Data Solutions
PG DE - Python for Data Science
- Create your first Python program using variables, strings, functions, loops, and conditions.
- Understand and apply concepts related to lists, sets, dictionaries, conditions, branching, objects, and classes in Python.
- Utilize the Pandas library to load, manipulate, and save data and read and write files in Python.
PG DE - PySpark
- Understand how to leverage the functionality of Python
- Master Apache Spark architecture and how to set up a Python environment for Spark
- Learn about various techniques for collecting data, understand RDDs and how to contrast them with DataFrames,
- Obtain knowledge of various tools that fall under the Spark ecosystem, such as Spark SQL, Spark MlLib, Sqoop, Kafka, Flume, and Spark Streaming
- Create and explore various APIs to work with Spark DataFrames and learn how to aggregate, transform, filter, and sort data
PG DE - Apache Kafka
- Describe the importance of big data
- Describe the fundamental concepts of Kafka
- Describe the architecture of Kafka
- Explain how to install and configure Kafka
- Explain how to use Kafka for real-time messaging
PG DE - MongoDB Developer and Administrator
- Develop expertise in writing Java and NodeJS applications using MongoDB
- Perform installation, configuration, and maintenance of the MongoDB environment
- Get hands-on experience creating and managing different types of indexes in MongoDB for query execution
- Proficiently store unstructured data in MongoDB
- Develop skill sets for processing vast amounts of data using MongoDB tools
- Gain proficiency in MongoDB configuration, backup methods, and monitoring.
Google Cloud Platform Fundamentals
Java Certification Training
- Gain a comprehensive understanding of Java
- Learn how to use operators in Java
- Learn about loops in Java
- The course covers methods in Java.
- Understand how to work with constructors in Java
- Gain an understanding of the JUnit framework
Industry Master Class – Data Engineering
Master class - Data Engineering - Purdue university
Generative AI Masterclass
PG DE - PySpark
- Understand how to leverage the functionality of Python
- Master Apache Spark architecture and how to set up a Python environment for Spark
- Learn about various techniques for collecting data, understand RDDs and how to contrast them with DataFrames,
- Obtain knowledge of various tools that fall under the Spark ecosystem, such as Spark SQL, Spark MlLib, Sqoop, Kafka, Flume, and Spark Streaming
- Create and explore various APIs to work with Spark DataFrames and learn how to aggregate, transform, filter, and sort data
PG DE - Apache Kafka
- Describe the importance of big data
- Describe the fundamental concepts of Kafka
- Describe the architecture of Kafka
- Explain how to install and configure Kafka
- Explain how to use Kafka for real-time messaging
PG DE - MongoDB Developer and Administrator
- Develop expertise in writing Java and NodeJS applications using MongoDB
- Perform installation, configuration, and maintenance of the MongoDB environment
- Get hands-on experience creating and managing different types of indexes in MongoDB for query execution
- Proficiently store unstructured data in MongoDB
- Develop skill sets for processing vast amounts of data using MongoDB tools
- Gain proficiency in MongoDB configuration, backup methods, and monitoring.
Google Cloud Platform Fundamentals
Java Certification Training
- Gain a comprehensive understanding of Java
- Learn how to use operators in Java
- Learn about loops in Java
- The course covers methods in Java.
- Understand how to work with constructors in Java
- Gain an understanding of the JUnit framework
Industry Master Class – Data Engineering
Master class - Data Engineering - Purdue university
Generative AI Masterclass
Instructors
Purdue University, West Lafayette Frequently Asked Questions (FAQ's)
The candidate must have a bachelor’s degree and a basic understanding of data-oriented programming.
Work experience is not mandatory but more than 2 years of work experience is preferred for a Post Graduate Program in Data Engineering online course.
Yes! Simplilearn offers an option to pay the fee in installment at a 0% interest rate in collaboration with some EMI partners.
The Post Graduate Program in Data Engineering online course consumes 5-10 hours per week for 8 months to complete.
Learners will get a completion certificate of the Post Graduate Program in Data Engineering from Purdue University.
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