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Electronics & ICT Academy IIT Guwahati

Advanced Certification in Big Data Analytics

This certification program is in collaboration with E&ICT, IIT, Guwahati, and aims to provide extensive training on Big Data Analytics concepts such as Hadoop, Spark, Python, MongoDB, Data Warehousing, and more. This program warrants providing a complete experience to learners in terms of understanding the concepts, mastering them thoroughly, and applying them in real life.

In collaboration with

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Upskill for Your Dream Job

Learning Format

Online

Live Classes

9 Months

Career Services

by Intellipaat

E&ICT IIT Guwahati

Certification

500+

Hiring Partners

About Program

This certification program in Big Data Analytics will provide you academic rigor along with Industry exposure. The course is designed and created under the mentorship of the top faculties of IIT Guwahati.

Key Highlights

231 Hrs Instructor Led Training
182 Hrs Self-paced Videos
300 Hrs Project & Exercises
Advanced Certification by E&ICT, IIT GUWAHATI
Learn from IIT Faculty & Industry Practitioners
Get access to Learning Management Team
One-on-One with Industry Mentors
Placement Assistance
Resume Preparation and LinkedIn Profile Review
24*7 Support
Designed for Working Professionals & Freshers
1:1 Mock Interview
No Cost EMI Option
2 Days campus immersion at EICT, IIT Guwahati Campus

Free Career Counselling

We are happy to help you 24/7

Partnering with E&ICT, IIT Guwahati

This Certification Program in Big Data Analytics is in partnership with E&ICT Academy IIT Guwahati. E&ICT IIT Guwahati is an initiative of Meity (Ministry of Electronics and Information Technology, Govt. of India) and formed with the team of IIT Guwahati professors to provide high-quality education programs.

Upon completion of this program, you will:

  • Receive a certificate from E&ICT, IIT Guwahati

Program in Collaboration with IBM

IBM is one of the leading innovators and the biggest player in creating innovative tools for big data analytical tools. Top subject matter experts from IBM will share knowledge in the domain of analytics and big data through this training program.

Benefits for students from IBM:

  • Industry-recognized IBM certificates
  • Access to IBM Watson for hands-on training and practice
  • Industry in-line case studies and project work

Career Transition

55% Average Salary Hike

$1,16,000 Highest Salary

11000+ Career Transitions

300+ Hiring Partners

Career Transition Handbook

Who Can Apply for the Course?

  • Anyone with a bachelor’s degree and passion for Big Data Analytics
  • Professionals looking to grow their career in Data Analytics, Data Science
  • Analysts & Software Engineers with a bachelor’s degree who wants to enter this domain
  • Project Managers / Product Managers looking to up-skill
  • Anyone with degrees in fields like Maths, Computer Science, Statistics, or similar
Who can aaply

What roles can a Big Data Analyst play?

Big Data Specialist

Builds and manages a personalized pluggable service-based framework to allow import, cleansing, transformation, and validation of data.

Data Engineer

Transforms raw data into meaningful insights and presents data into a meaningful form for business users.

Data Scientist

Identifies problems, understands data sets, collects & cleans large data sets, creates data models, and performs data mining.

Big Data Analyst

Develops data pipelines and designs necessary solutions to resolve complex issues.

Big Data Engineer

Designs, creates, and tests scalable and robust elements of data platforms and provides solutions for various problems.

Business Analyst

Extracts required data for tasks like business analysis, and builds reports, metrics, and dashboards for performance monitoring.

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Skills to Master

Big Data

Hadoop

Spark

Statistics

Data Science

Machine Learning

SQL

Python

Scala

Real-time Streaming

Tableau

Data Mining

Business Intelligence

AWS Big Data

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Tools to Master

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Meet Your Mentors

Interested in This Program? Secure your spot now.

The application is free and takes only 5 minutes to complete.

Program Curriculum

Live Course Self Paced

Python 

  • Introduction to Python and IDEs – The basics of the python programming language, how you can use various IDEs for python development like Jupyter, Pycharm, etc. 
  • Python Basics – Variables, Data Types, Loops, Conditional Statements, functions, decorators, lambda functions, file handling, exception handling ,etc.
  • Object Oriented Programming – Introduction to OOPs concepts like classes, objects, inheritance, abstraction, polymorphism, encapsulation, etc.
  • Hands-on Sessions And Assignments for Practice – The culmination of all the above concepts with real-world problem statements for better understanding. 
  • Java programming for MapReduce
  • SQL fundamentals
  • Linux fundamentals

Tools covered

Tools Covered Tools Covered Tools Covered
  • Introduction to Python
  • Python basic constructs
  • OOPs in Python
  • NumPy for mathematical computing
  • SciPy for scientific computing
  • Data manipulation
  • Data visualization with Matplotlib
  • Implementing statistical algorithms using Python

Tools covered

Tools Covered
  • Hadoop installation and setup
  • Introduction to Big Data and Hadoop
  • Understanding HDFS and MapReduce
  • Deep dive into MapReduce
    • Introduction to Hive
    • Advanced Hive and Impala
    • Introduction to Pig
    • Flume and Sqoop

Tools covered

Tools Covered Tools Covered Tools Covered Tools Covered Tools Covered Tools Covered Tools Covered
  • Scala programming
  • Spark framework
  • RDD in Spark
  • DataFrames and Spark SQL
  • Machine Learning using Spark (MLlib)

Tools covered

Tools Covered Tools Covered
  • Introduction to PySpark
  • Who uses PySpark?
  • Why Python for Spark?
  • Values, Types, Variables
  • Operands and Expressions
  • Conditional Statements
  • Loops
  • Numbers
  • Python files I/O Functions
  • Strings and associated operations
  • Sets and associated operations
  • Lists and associated operations
  • Tuples and associated operations
  • Dictionaries and associated operations
  • Functions
  • Lambda Functions
  • Global Variables, its Scope, and Returning Values
  • Standard Libraries
  • Object-Oriented Concepts
  • Modules Used in Python
  • The Import Statements
  • Module Search Path
  • Package Installation Ways
  • Introduction to Spark Streaming
  • Features of Spark Streaming
  • Spark Streaming Workflow
  • StreamingContext Initializing
  • Discretized Streams (DStreams)
  • Input DStreams, Receivers
  • Transformations on DStreams
  • DStreams Output Operations
  • Describe Windowed Operators and Why it is Useful
  • Stateful Operators
  • Vital Windowed Operators
  • Twitter Sentiment Analysis
  • Streaming using Netcat server
  • WordCount program using Kafka-Spark Streaming

Hands-On:

  • Twitter Sentiment Analysis
  • Streaming using Netcat server
  • WordCount program using Kafka-Spark Streaming
  • Spark-flume Integration
  • Demonstrating Loops and Conditional Statements
  • Tuple – related operations, properties, list, etc.
  • List – operations, related properties
  • Set – properties, associated operations
  • Dictionary – operations, related properties
  • Lambda – Features, Options, Syntax, Compared with the Functions
  • Functions – Syntax, Return Values, Arguments, and Keyword Arguments
  • Errors and Exceptions – Issue Types, Remediation
  • Packages and Modules – Import Options, Modules, sys Path

Tools covered

Tools Covered Tools Covered Tools Covered Tools Covered
  • Spark Components & its Architecture
  • Spark Deployment Modes
  • Spark Web UI
  • Introduction to PySpark Shell
  • Submitting PySpark Job
  • Writing your first PySpark Job Using Jupyter Notebook
  • What is Spark RDDs?
  • Stopgaps in existing computing methodologies
  • How RDD solve the problem?
  • What are the ways to create RDD in PySpark?
  • RDD persistence and caching
  • General operations: Transformation, Actions, and Functions
  • Concept of Key-Value pair in RDDs
  • Other pair, two pair RDDs
  • RDD Lineage
  • RDD Persistence
  • WordCount Program Using RDD Concepts
  • RDD Partitioning & How it Helps Achieve Parallelization
  • Passing Functions to Spark

Hands-On:

  • Building and Running Spark Application
  • Spark Application Web UI
  • Loading data in RDDs
  • Saving data through RDDs
  • RDD Transformations
  • RDD Actions and Functions
  • RDD Partitions
  • WordCount program using RDD’s in Python

Tools covered

Tools Covered Tools Covered
  • Introduction to Machine Learning- What, Why and Where?
  • Use Case
  • Types of Machine Learning Techniques
  • Why use Machine Learning for Spark?
  • Applications of Machine Learning (general)
  • Applications of Machine Learning with Spark
  • Introduction to MLlib
  • Features of MLlib and MLlib Tools
  • Various ML algorithms supported by MLlib
  • Supervised Learning Algorithms
  • Unsupervised Learning Algorithms
  • ML workflow utilities

Hands-On:

  • K- Means Clustering
  • Linear Regression
  • Logistic Regression
  • Decision Tree
  • Random Forest

Tools covered

Tools Covered Tools Covered
  • Apache Flume and Apache Kafka
  • Spark Streaming
  • Case Study: Spark vs Kafka and when to use them

Tools covered

Tools Covered Tools Covered Tools Covered
  • Introduction to Big Data and Data Collection
  • Introduction to Cloud Computing & AWS
  • Elastic Compute and Storage Volumes
  • Virtual Private Cloud
  • Storage – Simple Storage Service (S3)
  • Databases and In-Memory DataStores
  • Data Storage
  • Data Processing
  • Data Analysis
  • Data Visualization and Data Security

Power BI Basics

  • Introduction to PowerBI, Use cases and BI Tools , Data Warehousing, Power BI components, Power BI Desktop, workflows and reports , Data Extraction with Power BI.
  • SaaS Connectors, Working with Azure SQL database, Python and R with Power BI
  • Power Query Editor, Advance Editor, Query Dependency Editor, Data Transformations, Shaping and Combining Data ,M Query and Hierarchies in Power BI.

DAX 

  • Data Modeling and DAX, Time Intelligence Functions, DAX Advanced Features

Data Visualization with Analytics  

  • Slicers, filters, Drill Down Reports
  • Power BI Query, Q & A and Data Insights
  • Power BI Settings, Administration and Direct Connectivity
  • Embedded Power BI API and Power BI Mobile
  • Power BI Advance and Power BI Premium

Hands-on Exercise:

Creating a dashboard to depict actionable insights in sales data.

  • Marketing, Web, and Social Media Analytics
  • Fraud and Risk Analytics
  • Supply Chain and Logistics Analytics
  • HR Analytics
  • Job Search Strategy
  • Resume Building
  • LinkedIn Profile Creation
  • Interview Preparation Sessions by Industry Experts
  • Mock Interviews
  • Placement opportunities with 400+ hiring partners upon clearing the Placement Readiness Test.
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Program Highlights

231 Hours of live training
182 Hours of Self-paced video
300 Hours of Guided projects
24/7 Lifetime support

Interested in This Program? Secure your spot now.

The application is free and takes only 5 minutes to complete.

Project Work

The projects will be a part of your certification in Big Data Analytics to consolidate your learning. Industry-based projects will ensure that you gain real-world experience before starting your career in Big Data.

Practice 100+ Essential Tools

Designed by Industry Experts

Get Real-world Experience

Reviews

5 ( 2,175 )

Hear From Our Hiring Partners

Career Services By Intellipaat

Career Services

Career Oriented Sessions

Throughout the course

Over 10+ live interactive sessions with an industry expert to gain knowledge and experience on how to build skills that are expected by hiring managers. These will be guided sessions and that will help you stay on track with your up skilling objective.

Resume & LinkedIn Profile Building

After 70% of course completion

Get assistance in creating a world-class resume & Linkedin Profile from our career services team and learn how to grab the attention of the hiring manager at profile shortlisting stage

Mock Interview Preparation

After 80% of the course completion.

Students will go through a number of mock interviews conducted by technical experts who will then offer tips and constructive feedback for reference and improvement.

1 on 1 Career Mentoring Sessions

After 90% of the course completion

Attend one-on-one sessions with career mentors on how to develop the required skills and attitude to secure a dream job based on a learners’ educational background, past experience, and future career aspirations.

Placement Assistance

After 100% of the course completion

Placement opportunities are provided once the learner is moved to the placement pool. Get noticed by our 400+ hiring partners.

Exclusive access to Intellipaat Job portal

After 80% of the course completion

Exclusive access to our dedicated job portal and apply for jobs. More than 400 hiring partners’ including top start-ups and product companies hiring our learners. Mentored support on job search and relevant jobs for your career growth.

Our Alumni Works At

Master Client Desktop

Peer Learning

Via Intellipaat PeerChat, you can interact with your peers across all classes and batches and even our alumni. Collaborate on projects, share job referrals & interview experiences, compete with the best, make new friends – the possibilities are endless and our community has something for everyone!

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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.

Submit Application

Submit Application

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

Application Review

Application Review

An admission panel will shortlist candidates based on their application

Admission

Application Review

Selected candidates will be notified within 1–2 weeks

Program Fee

Total Admission Fee

$ 1,737

Program Cohorts

Next Cohorts

Date Time Batch Type
Program Induction 02nd April 2023 08:00 PM IST Weekend (Sat-Sun)
Regular Classes 02nd April 2023 08:00 PM IST Weekend (Sat-Sun)

Frequently Asked Questions

Is this program conducted online or offline?

This program is conducted online for 9 months with the help of multiple live instructor-led training sessions.

Intellipaat provides career services that includes Guarantee interviews for all the learners enrolled in this course. EICT IIT Guwahati is not responsible for the career services.

After you share your basic details with us, our course advisor will speak to you and based on the discussion, your application will be screened. If your application is shortlisted, you will need to fill in a detailed application form and attend a telephonic interview, which will be conducted by a subject matter expert. Based on your profile and interview, if you are selected, you will receive an admission offer letter.

To complete this program, it requires 9 months of attending live classes and completing the assignments and projects, along the way.

If by any circumstance you miss a live class, you will be given the recording of the class within the next 12 hours. Also, if you need any support, you will have access to our 24/7 technical support team for any sort of query resolution.

To complete this program, you will have to spare around 6 hours a week in learning. Classes will be held over weekends (Sat/Sun), and each session will be of 3 hours.

To ensure that you make the most of this program, you will be given industry-grade projects to work on. This is done to make sure that you get a concrete understanding of what you’ve learned.

Upon the completion of this program, you will be first preparing for job interviews through mock interview sessions, and then you will get assistance in preparing a resume that fulfils industry standards. This will be followed by a minimum of 3 exclusive interviews with 400+ hiring partners across the globe.

Upon the completion of all of the requirements of the program, you will be awarded a certificate from E&ICT Academy IIT, Guwahati.

There will be a 2-day campus immersion module at E&ICT Academy, IIT-Guwahati during which learners will visit the campus. You will learn from the faculty as well as interact with your peers. However, this is subject to COVID-19 situation and guidelines provided by the Institute. The cost of travel and accommodation will be borne by the learners. However, the campus immersion module is optional.

20% of the program fee is set aside as a non-refundable amount. The balance 80% will be refunded as per the 3-month or 6-month option undertaken by the student on a pro-rata basis. Please speak to the course advisor for more information about the same.

To be eligible for getting into the placement pool, the learner has to complete the course along with the submission of all projects and assignments. After this, he/she has to clear the PRT (Placement Readiness Test) to get into the placement pool and get access to our job portal as well as the career mentoring sessions.

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What is included in this course?

  • Upskill without leaving your Job
  • Lear from top IIT Guwahati Faculty & Industry Experts
  • Rigorous curriculum designed to gain Industry relevant skills
  • Group Learning with your peers through Intellipaat PeerChat
  • Dedicated Career Services to land you in dream Job!

I’m Interested in This Program

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