Advanced Professional Certification Programme in Data Science & Machine Learning

—E&ICT, IIT Guwahati

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Course Duration
10-12 months*
Application Closure Date
Closing Soon
Commencement Date
To be announced
Session Timings
Sunday 10.00 AM to 1.00 PM

Programme Overview

Discover the alchemy of data science and machine learning architecture to renovate tomorrow’s enterprises using smart approaches and applications. Put to practice the in-demanded tools and techniques to leverage strategic and operational actions. Become an expert in your field and set a new standard of excellence in your data driven career. Unfold quality pedagogy that comprises of ideal blend of Theory & Practice. Set a new standard of excellence in your career by pursuing an Advanced Professional Certification Programme in Data Science & Machine Learning from India’s leading E&ICT, IIT Guwahati.

Programme Highlights

Certificate of Completion from IIT Guwahati's E & ICT Department


A contemporary and comprehensive data science programme covering data analytics, business analytics, and machine learning


Flexibility in learning: online classes on weekends or after business hours


Live classes by highly experienced faculty members from IITs and industry experts


2-Days intensive campus immersion modules


Peer-to-peer learning and mentoring from industry experts


Curated for working professionals with a practical learning approach

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Learn from key modules taught by the respective area experts

Admission Criteria

  • Admission will be based on the overall profile of the applicants.

Eligibility Criteria

  • Graduates (10+2+3 or equivalent) in any discipline recognised by UGC/AICTE with minimum 50% aggregate marks at either UG/PG level.
  • Minimum 2 years of work experience.

Tools & libraries that professionals will gain exposure to:

Syllabus Breakdown

Introduction to Python and IDEs
  • Jupyter notebook – Installation & function
  • Functions, Packages & libraries like Numpy, Pandas, Scikit Learn
  • Initialising & working with arrays, vectors & data frames
  • Working with data structures, control statements
  • Lab - Exercises

Statistical Foundations for Data Science

  • Linear Algebra, Multivariate Calculus
  • Probability & Statistics and Optimization
  • Population, sample, methods of sampling – basics of statistics
  • Measures of distribution – Mean, median, mode, S.D & variance
  • Empirical rule – Normal distribution
  • Probability & its basics – Mutually exclusive events, independent events
  • Laws of probability
  • Conditional probability
  • Types of distribution – Binomial, Poisson & Normal distribution
  • Hypothesis & T - testing
  • Lab - Exercises

Data Handling and Data Visualisation with Tableau

  • Data extraction, cleaning
  • Data Preprocessing
  • Outlier Treatment for Various types of data
  • Data Visualization
  • Tableau Training, GIT, SQL, JSON
  • Lab - Exercises
Machine Learning with Supervised Learning
  • Regression (Linear, Multiple, Logistic)
  • Classification (k-NN, naïve Bayes) techniques
  • Decision Trees
  • SVM
Machine Learning using Clustering UnSupervised Learning
  • K means Clustering
  • Hierarchical clustering
Machine Learning Optimization Techniques
  • Importance of Dimensionality Reduction
  • PCA
  • Project
Performance Metrics
  • Boosting methods
  • Bagging techniques
Recommender Systems using Artificial Intelligence
  • Introduction to Recommendation systems
  • Market Basket Analysis
  • Content-based recommendation system
  • Popularity based model
  • Collaborative filtering (User similarity & Item similarity)
  • Hybrid models
Introduction to Neural Networks and Deep Learning
  • Gradient Descent
  • Introduction to Perceptron & Neural Networks
  • Batch Normalisation
  • Activation and Loss functions
  • Confidential – Not to be shared without permission
  • Hyperparameter tuning
  • Deep Neural Networks
  • Tensor Flow & Keras for Neural Networks & Deep Learning
Advanced Applications of Deep Learning
  • Introduction to Convolutional
  • Neural Networks
  • Forward propagation &
  • Backpropagation for CNNs
  • Convolution, Pooling, Padding & its mechanisms
  • CNN architectures like AlexNet, VGGNet, InceptionNet & ResNet
  • Transfer Learning
  • Auto encoders
  • Semantic segmentation
  • YOLO
  • Siamese Networks
  • Object & face recognition using techniques above
Natural Language Processing  using Sentimental Analysis
  • Bag of Words Model
  • TF-IDF
  • POS Tagging
  • Named Entity Recognition
  • Tokenization
  • Stop Words
  • Word Vectorizer
  • Introduction to Sequential data
  • RNNs and its mechanisms
  • Vanishing & Exploding gradients in RNNs
  • Time series analysis
  • LSTMs
  • LSTMs with attention mechanism and GRU
Speech Recognition using NLP Techniques

Model Applications & Deployment

  • Deployment on Cloud
  • Recent Trends in AI/ML
  • Capstone Project
Capstone Project
Online Live Sessions
Quizzes /Assignment
Intensive Campus Immersion

*Course pedagogy includes real-time examples and mini-projects
*The above given is an indicative list of modules and is subject to change as per E&ICT, IIT Guwahati’s discretion.

About IIT Guwahati

Indian Institute of Technology Guwahati is the sixth member of the IIT fraternity. The academic programme of IIT Guwahati commenced in 1995. The Institute has eleven departments, five inter-disciplinary academic centres and four schools covering all the major engineering, science and humanities disciplines, offering BTech, BDes, MA, MDes, MTech, MSc and PhD programmes. This IIT fraternity is ranked among the top 100 world universities—under 50 years of age—by the London-based Times Higher Education in 2014. It continues to maintain its superior position even today in various international rankings.

About E&ICT Academy

IIT Guwahati’s E&ICT Academy (An initiative of the Ministry of Electronics & Information Technology, Government of India) aims to provide specialised training to the faculties of Engineering, Arts, Commerce & Science colleges, Polytechnics, etc. by developing state-of-the-art facilities. Academy has planned short term training programmes on fundamental and advanced topics in IT, Electronics & Communication, Product Design, Manufacturing with hands on training and project work using the latest software tools and systems.
Furthermore, the Academy will provide specialised/customised training programmes as well as research promotion workshops for the corporate sector and educational institutions. The Electronics and ICT Academy is intended to serve as a central hub for training, consulting, and entrepreneurship programmes.

as per NIRF 2022

globally in the ‘Research Citations per Faculty’

Overall in the QS World University Rankings 2022

Know The Facilitators

*The above given is an indicative list of faculty and is subject to change as per E&ICT’s IIT Guwahati’s discretion.

Programme Certification

Upon successful completion of the “Corporate and Public Leadership in a VUCA World” programme and meeting all other academic requirements, participants will be awarded a certificate from IIM Indore.

Programme Certification

Participants who successfully meet the evaluation criteria and satisfy the programme requirements will be awarded a ‘Certification of Completion’ – Advanced Professional Certification Programme in Data Science & Machine Learning” from E&ICT, IIT Guwahati.

Fee Structure

Programme fee
Fee Structure
Application Fee
INR 2,000/- + GST
Total Programme Fee
INR 2,00,000/- + GST
Easy EMI options available
Installment Pattern
Installment Pattern
Initial Payment
INR 80,000/- + GST

1st Instalment
INR 60,000/- + GST

2nd Instalment
INR 60,000/- + GST

Easy EMI options available

Admission Process

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The Jaro Advantage

Learning Support
Doubt Resolution

Jaro Expedite - Career Booster

Profile Building

Rigorously building the candidate’s profiles and resume scrutinizing their LinkedIn profiles. Jaro Education enables personalised feedback to boost overall virtual presence.

Resume Review

Moving forward with carefully curated resume reviews that ensures you are interview-ready for the workplace of tomorrow.

Placement Assistance

Get career assistance as per the profile and preferences. On average, get 5-6 job recommendations to enhance quality employment opportunities.

Career Enhancement Sessions

Bridging connectivity to link the best talent with organizations through eminent sessions from top-class industry speakers.


Note: E&ICT’s IIT Guwahati or Jaro Education do not guarantee or promise you a job or advancement in your existing position. Career Services is simply provided as a service to help you manage your career in a proactive manner. Jaro Education provides the Career Services described here. E&ICT, IIT Guwahati is not involved in any way with the Career Services described above and offer no commitments.

Build 21st-Century Skill set to Gain Career Edge in the VUCA World

Learn from the best minds and eminent faculty to become the next industry expert.
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Frequently Asked Questions
Specify the mode of engagement for the programme.

Advanced Professional Certification Programme in Data Science & Machine Learning is delivered in the Direct to Device mode, enriching participants with a rich learning experience.

What is the fee structure?

The total fee is INR 2,00,000/- + GST  for IIT Guwahati Advanced Professional Certification Programme in Data Science & Machine Learning.

Describe the career prospect after completing the programme.
  • Participants can explore the following career prospects:
    • Data Analyst 
    • Data Scientist
    • Data Engineer
    • Product Analyst
    • Machine Learning Engineer
    • Decision Scientist
What are the tools taught in this programme?

You’ll get exposure to new-age tools and techniques like:

  • PySpark
  • Python
  • Jupyter
  • SciPy
  • NumPy
  • PowerBI
  • Excel
  • GIT
  • SparkSQL
  • Pandas
  • Matplotlib
  • TensorFlow
  • SQL

Additionally, learn core concepts and theories in data science and machine learning.

Program Counsellor

Program Manager


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Connect with our Program Advisor

Program Counsellor

Program Counsellor

Mr. Anand K

Program Counsellor Number

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And make yourself eligible to

- Additional 20k scholarship on

Program fee

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