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, Campus Based/Physical Classroom | Video and Text Based | Weekends |
Course Overview
IIT Roorkee has developed the Post Graduate Certificate Program in DS & ML online course to provide candidates with live, instructor-led sessions on machine learning and data science. This is an 11-month long postgraduate programme where candidates will train under esteemed faculty from IIT Roorkee, interact with industry leaders for gaining one-on-one knowledge and get industry mentorship.
During the Post Graduate Certificate Program in DS & ML training, candidates will get to work with eight advanced tools like Python, Keras, TensorFlow, and more. The IIT faculty will teach the course via the interactive audio-visual mode and live sessions with the candidates. Throughout the 11 months, candidates will get over 450 hours of rigorous training and experience.
The Post Graduate Certificate Program in DS & Machine Learning classes by IIT Roorkee carries tremendous benefits for working professionals who want to accumulate knowledge in this field. Candidates will get the opportunity to work on multiple projects to build their portfolio.
The Highlights
- IIT Roorkee offering
- Postgraduate certification
- Audio-visual training
- Live interactions
- IIT Roorkee faculty
- 11 months duration
- Industry interaction
- 10+ projects
- Weekend classes
- Case studies
- Option of three specialisations
Programme Offerings
- 11 months duration
- Case Studies
- Live interaction
- IIT Roorkee faculty
- Industry interaction and mentorship
- 450+ hours
- Hackathon
- Specialisations
- Extensive curriculum
- Certification
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | IIT Roorkee |
The Post Graduate Certificate Program in Data Science & Machine Learning fee is Rs. 2,00,000 along with Rs. 36,000 as taxes.
Post Graduate Certificate Program in Data Science & Machine Learning Fee Structure
| Particulars | Amount (â‚ą) |
| Programme Fee | 2,00,000 |
| GST@18% | 36,000 |
| Total Fee | 2,36,000 |
Eligibility Criteria
To enroll in the Post Graduate Certificate in DS & ML course, candidates need to have an undergraduate degree in Engineering/Science with at least 50% and a minimum of two years’ work experience.
What you will learn
After completing the Post Graduate Certificate in DS & ML programme, candidates will become adept in:
- The foundation of data science
- Mathematical concepts for understanding algorithms
- Basics of Python programming
- Statistical techniques used to summarise data
- Generating and testing hypotheses
- Various machine learning algorithms and their applications
- Programming using TensorFlow
Admission Details
For admission to the Post Graduate Certificate Program in Data Science & Machine Learning classes, candidates may see the admission process below:
Step 1: Follow the course URL: https://timespro.com/executive-education/iit-roorkee-post-graduate-certificate-programme-in-data-science-and-machine-learning.
Step 2: Then the students may on the website, find, and click on the button ‘Apply Now’.
Step 3: Next, the students shall fill in an application form, and then put it through TSW.
Step 4: After the application form, an application fee should be offered for submission.
Step 5: As soon as the above details are confirmed after submission, an Online Application number will be generated.
Step 6: Only if the application has been accepted, the student gets an intimation.
Application Details
The application form has some fields where filling in details are necessary. The mandatory fields include the mobile number, name, academic details, mailing address, and the employment information of the participants.
The Syllabus
- Emerging Technologies and AI
- Understanding Data Science and AI
- Generative AI
- Data Structures in python, loops and control structures
- Functional programming in python, creating UDF’s
- Linear Algebra with NumPy and SciPy
- Data Pre-Processing using Pandas
- Generating plots with matplotlib
- Sourcing Data from Different Sources
- Data Wrangling
- Cleaning date and text columns
- Exploratory Data Analysis
- Working with SQL
- Data Visualization using Tableau
- Python ML Library - Scikit Learn
- Introduction to ML- Types of Learning
- Linear Regression
- Logistic Regression
- k Nearest Neighbors
- Naïve Bayes
- Decision Trees
- Support Vector Machines
- Unsupervised Learning: Clustering & Dimensionality Reduction
- Hands-on Case Studies for ML
- Hyper parameter Tuning
- Overfitting and Regularisation
- Ensemble Models
- Gradient Boosting Machines
- Feature Engineering & Feature Selection Techniques
- Time Series Forecasting
- Text Analytics Overview
- Sentiment Analysis on Text Data
- Naïve-Bayes Model for Sentiment Classification
- Document Summarisation
- Topic Modelling
- Hands-on Practice
- Fundamentals of TensorFlow
- TensorFlow Programming Model
- Performing basic operations using TensorFlow
- Introduction to Perceptron
- Perceptron Training
- Deep Neural Networks
- Keras API
Deep Learning with Image and Speech
- Computer Vision with Open CV
- Convolutional Neural Networks (CNN)
- Pretrained CNN Models
- Image Classification with KERAS
- Object Detection
- Hands-on Practice
- Overview of Speech Recognition and Basic APIs
- Advanced NLP - using Word Embeddings
- Word2Vec, GLOVE
- Working with sequence data - RNN and LSTM
Data Engineering
- Introduction to Data Engineering & Big Data
- Introduction to Hadoop, HDFS and map reduce
- Data Analytics using Apache hive
- Working with Cloud (Microsoft Azure)
- Working with Apache Spark and Spark through databricks
- Data /ingestion tools – Sqoop, Flume and Kafka
- Working with NoSQL databases – Cassandra, Hbase and MongoDB
- Introduction to Big data analytics with Spark ML
- Implementing ML algorithms through spark ML
- Creating a Hierarchical Classification Tool for COVID-19 Literature
- Patch Classification from Image Labels – Healthcare
- Fraud Analysis Using ML Algorithms
- Enabling Business Intelligence for a Restaurant Aggregator
- Land Use classification based on Satellite Imagery
- Retail Customer Segmentation
- Telecom Customer Churn
- Data Quality and Data Exploration of Credit Card Dataset
- Chatbot using DialogFlow
- Lung Cancer Detection
- Bone Age using X-Ray Images
- Bank Loan Portfolio Data Pre-processing
- Taxi Trip Data Analysis
- COVID-19 Data Analysis
- COVID Vaccination Helpline- Customised Chatbot using Alexa Blueprint
- Prediction of COVID-19 spread using Time Series with LSTM
Evaluation process
The certification is based on the successful evaluation of the students. The students will be asked to attend all the modules, quizzes, capstone projects, and assignments. They must pass in all these with a 60% score in the quizzes. The weightage being considered is 10% in the quizzes, 60& in the assignments and projects, and another 20% in the capstone project.
Instructors
IIT Roorkee Frequently Asked Questions (FAQ's)
There are 10+ projects which the aspirants have to work on.
Yes, IIT Roorkee issues the post-graduate completion certificate.
Only weekend classes for professionals are organized.
More than 250 recruitment partners are associated..