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MIT-IDSS

Data Engineering Course

6,877 Ratings

  • Data Engineering course in association with MITx MicroMasters
  • Gain expertise in Data Engineering skills like Python, SQL, & more
  • Placement Assistance upon course completion
  • Get trained by MIT Faculty & Industry Experts

Integrated with

MITxMicromasters
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Learning Format

Online Bootcamp

Live Classes

7 Months

Career Services

by Intellipaat

MITxMicroMasters

Certification

500+

Hiring Partners

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Data Engineering Course Overview

Our Data Engineering course will provide you with in-depth knowledge in SQL, Python, data pipelines, data transformation, Spark, and cloud services of AWS and Azure. Multiple Data Engineering courses and real-world projects help you master core concepts & skills like creating production-ready ETL and pulling data from multiple data sources, building cloud data warehouses, Data Modeling, etc.

Data Engineering Course Key Highlights

Career Guidance
7 Months of Live Sessions by Industry Experts
200 Hrs of Self-paced Videos
One-on-One with Industry Mentors
24*7 Support
50+ Industry Projects & Case Studies
Integrated with MITxMicroMasters
E-learning Videos from MIT faculty
Flexible Schedule
Lifetime Free Upgrade
Soft Skills Essential Training
Dedicated Learning Management Team

About MIT and MIT IDSS

The Institute for Data, Systems, and Society (IDSS) is a cross-disciplinary unit made up of faculty from across the Massachusetts Institute of Technology (MIT). IDSS advances education and research in data analysis, statistics, and machine learning, and applies these tools in collaboration with social scientists, community, and policymakers to address complex societal challenges.

On the completion of this data engineering course certification, you will:

  • Receive an industry-recognized Data Engineering Certification from Intellipaat.
  • Receive a course completion certification by MITxMicromasters on the completion of the modules by MIT.

To know more about the MIT IDSS, click here

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Note: All certificate images are for illustrative purposes only and may be subject to change at the discretion of the MITx.

Career Transition

57% Average Salary Hike

$1,28,000 Highest Salary

12000+ Career Transitions

300+ Hiring Partners

Career Transition Handbook

*Past record is no guarantee of future job prospects

Who Can Apply for the Data Engineering Course?

  • Freshers and Undergraduates willing to pursue a career in data engineering
  • Anyone looking for a career transition to data engineering
  • IT professionals
  • Experienced professionals willing to learn data engineering
  • Technical and non-technical professionals with basic-level programming knowledge can also apply
  • Project Managers
who-can-apply

What Roles Does a Data Engineer Play?

Big Data Engineer

They design and build complex data pipelines and have expert knowledge in coding using Python, etc. These professionals collaborate and work closely with data scientists to run the code using various tools such as the Hadoop ecosystem, etc.

Data Architect

They are typically the database administrators and are responsible for data management. These professionals have in-depth knowledge of databases, and they also help in business operations.

Business Intelligence Engineer

They are skilled in data warehousing and create dimension models for loading data for large-scale enterprise reporting solutions. These professionals are experts in using ELT tools and SQL.

Data Warehouse Engineer

They are responsible for looking after the ETL processes, performance administration, dimensional design, etc. These professionals take care of the full back-end development and dimensional design of the table structure.

Technical Architect

They design and define the overall structure of a system to improve the business of an organization. The job role of these professionals involves breaking large projects into manageable pieces.

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20+ Skills to Master

SQL

No SQL (MongoDB)

Data Warehousing

OLAP

OLTP

ETL

Python Programming

Hadoop

Spark

Spark Streaming

AWS

Redshift

RDS

EMR

Apache Airflow

S3

S3 Glacier

Glue

Docker

Kubernetes

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4+ Tools to Master

informatica AWS RedShift SparkSQL
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Data Engineer Course Syllabus

Live Course Self Paced
  • Introduction to SQL
  • Database Normalization and Entity Relationship Model
  • SQL Operators
  • Join, Tables, and Variables in SQL
  • Deep Dive into SQL Functions
  • Subqueries in SQL
  • SQL Views, Functions, and Stored Procedures
  • User-defined Functions in SQL
  • SQL Optimization and Performance
  • SQL Parsing
  • Managing Database Concurrency
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  • Python Basics
  • OOPs Concept
  • NumPy
  • Pandas
  • Data Visualization
  • File Handling
  • Exception Handling
  • Regular Expressions Fundamentals
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  • Introduction to Linux
  • File System Navigation
  • File and Text Manipulation
  • User and Group Management
  • Process Management
  • System Configuration and Networking
  • System Monitoring and Logging
  • Shell Scripting
  • Security and Permissions
  • Advanced Linux Commands
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  • Basic Concepts of Data Modelling
  • Business Data Requirements – Entities and Classes
  • Business Data Requirements – Attributes
  • How To Link Things Together – Relationships
  • Requirements Analysis
  • Conceptual Data Modeling
  • Logical Data Modeling
  • Physical Data Modelling
  • Data Modelling Tools and Techniques
  • Data Modelling Documentation and Communication
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  • AWS Basics
  • Amazon Kinesis
  • Amazon MSK (Managed Streaming for Apache Kafka)
  • AWS Glue
  • Amazon EMR (Elastic MapReduce)
  • Amazon S3 (Simple Storage Service)
  • Amazon S3 Glacier
  • DynamoDB
  • AWS Redshift
  • Amazon Athena
  • Amazon QuickSight
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  • Introduction to Microsoft Azure
  • Authentication, Authorization, and Monitoring
  • Data Storage and Integration
  • Azure Synapse Analytics and Databricks
  • Azure Stream Analytics, and Azure Service Bus
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  • Introduction to Airflow
    • Introduction to Airflow
    • Testing a Task in Airflow
    • Examining Airflow Commands
    • Airflow DAGs
    • Defining a Simple DAG
    • Working With DAGs and the Airflow Shell
    • Troubleshooting DAG Creation
    • Airflow Web Interface
    • Starting the Airflow Webserver
    • Navigating the Airflow UI
    • Examining DAGs With the Airflow UI
  • Airflow Operators
    • Defining a BashOperator Task
    • Multiple BashOperator
    • Airflow Tasks
    • Define Order of BashOperator
    • Determining the Order of Tasks
    • Troubleshooting DAG Dependencies
    • Additional Operators
    • Using the PythonOperator
    • More PythonOperator
    • EmailOperator and Dependencies
    • Airflow Scheduling
    • Schedule a DAG via Python
    • Deciphering Airflow Schedules
    • Troubleshooting DAG Runs
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  • Introduction to Apache Spark
  • PySpark SQL and Data Frames
  • Apache Kafka and Flume
  • PySpark Streaming
  • Introduction to PySpark Machine Learning
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Elective Courses

  • Introduction to DevOps
  • Git
  • Docker
  • Kubernetes
  • Jenkins
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  • Introduction to Power BI
  • Data Extraction
  • Data Transformation – Shaping & Combining Data
  • Data Modeling & DAX (Data Analysis Expressions)
  • Data Visualization with Analytics
  • Power BI Service (Cloud), Q & A, and Data Insights
  • Power BI Settings, Administration & Direct Connectivity
  • Embedded Power BI with API & Power BI Mobile
  • Power BI Advance & Power BI Premium
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Disclaimer
Intellipaat reserves the right to modify, amend or change the structure of module & the curriculum, after due consensus with the university/certification partner.

Program Highlights

Live Session across 7 months
1:1 Industry Mentorship
50+ Industry Projects & Case Studies
24*7 Support

Data Engineering Projects

Projects in data engineering will be a part of your certification to consolidate your learning and ensure that you have real-world industry experience.

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Career Services By Intellipaat

Career Services
guaranteed
3 Guaranteed Interviews
job_portal
Access to Intellipaat Job Portal
Mock Interview Preparation
1 on 1 Career Mentoring Sessions
resume
Career Oriented Sessions
linkedin
Resume & LinkedIn Profile Building
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Our Alumni Works At

Hiring-Partners

Data Engineering Course Admission Details

The application process consists of three simple steps. An offer of admission will be made to selected candidates based on the feedback from the interview panel. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.

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Submit Application

Tell us a bit about yourself and why you want to join this program

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Application Review

An admission panel will shortlist candidates based on their application

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Admission

Selected candidates will be notified within 3 days

Program Fee

Total Admission Fee

$ 2,790

Apply Now

Upcoming Application Deadline 24th Nov 2024

Admissions are closed once the requisite number of participants enroll for the upcoming cohort. Apply early to secure your seat.

Program Cohorts

Next Cohorts

Date Time Batch Type
Program Induction 24th Nov 2024 08:00 PM - 11:00 PM IST Weekend (Sat-Sun)
Regular Classes 24th Nov 2024 08:00 PM - 11:00 PM IST Weekend (Sat-Sun)

Data Engineer Course FAQs

What is Data Engineering?

Data engineering can be called a branch of data science that involves preparing the data to be analyzed by data scientists and data analysts. This online data engineer course training course includes practically applying data collection techniques and maintaining the organization’s data pipeline systems.

Intellipaat’s online Data Engineering courses will validate your skills in the domain and will add value to your resume. The real-life practical applications will help you develop a strong skill set that you can showcase to recruiters. Get the best Data Engineer course certification and excel in your data engineering career.

On the completion of the online data engineering online course, and the completion of the various projects and assignments in this program, you will receive your data engineering certification.

According to Glassdoor, the average annual salary of a certified data engineer in India is ₹850,000.

It is recommended that you have a basic level of knowledge in programming or any object-oriented coding language to better understand the Data Engineering concepts.

The top companies hiring data engineers around the globe are as follows:

  • Tata Consultancy Services (TCS)
  • LTI
  • Accenture
  • Amazon
  • Infosys
  • Capgemini

Yes, you can easily join the data engineering courses even if you do not have technical experience or are not from a technical background. However, knowing any object-oriented programming language will be helpful.

The data engineering courses come with a duration of six months of live classes and lifelong access to course material. In this tenure, it is suggested that you devote six to seven hours a week to master the data engineering concepts taught in the online classes.

Intellipaat provides career guidance services such as interview preparatory sessions, industry mentorship, and more for all learners enrolled in the Data Engineering courses. MIT is not responsible for placements and career services.

You can expect a salary range of Rs.7-8 lakhs from the job offer. However, it depends on how you perform in your interview. We have seen our learners achieving up to 30 LPA in salary packages.

Yes, Intellipaat certification is highly recognized in the industry. Our alumni work in more than 10,000 corporations and startups, which is a testament that our programs are industry-aligned and well-recognized. Additionally, the Intellipaat program is in partnership with the National Skill Development Corporation (NSDC), which further validates its credibility. Learners will get an NSDC certificate along with Intellipaat certificate for the programs they enroll in.

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What is included in this course?

  • Non-biased career guidance
  • Counselling based on your skills and preference
  • No repetitive calls, only as per convenience
  • Rigorous curriculum designed by industry experts
  • Complete this program while you work