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
This programme is designed for working professionals who want to learn the skills and techniques of data science and machine learning. The programme is delivered online through live classes by expert faculty members from IITs and industry. The Advanced Professional Certification Programme In Data Science & Machine Learning by Jaro Education in association with IIT Guwahati covers various topics such as data preprocessing, exploratory data analysis, statistical inference, and more.
The programme also includes two days of campus immersion at IIT Guwahati and a capstone project where the participants can apply their learned concepts to real-world problems. The programme duration is 10-12 months and the participants will receive a certificate of completion from IIT Guwahati’s E & ICT Department. The Advanced Professional Certification Programme In Data Science & Machine Learning course aims to help the participants become proficient in data science and machine learning and enhance their career prospects in the tech industry.
Also, read:
The Highlights
- Certification From IIT Guwahati
- 10-12 Months Long Course
- Hands-on Training and Project Work
- 2 Days of Intensive Campus Immersion Modules
Programme Offerings
- video lecture
- Certification
- graded assignment
- Capstone Project
- quizzes
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | IIT Guwahati (IITG) |
The Advanced Professional Certification Programme In Data Science & Machine Learning fees amount to Rs. 2,00,000 + GST for Indian candidates. The application fee is an additional Rs. 2,000. The fees are paid in instalments and an EMI payment option is also available.
Advanced Professional Certification Programme In Data Science & Machine Learning fee structure
| Head | Amount |
| Application Fee | Rs. 2,000/- + GST |
| Total Programme Fee | Rs. 2,00,000/- + GST |
Tenure | Amount |
1st Instalment | Rs. 80,000 + GST |
2nd Instalment | Rs. 60,000 + GST |
3rd Instalment | Rs. 60,000 + GST |
Eligibility Criteria
Academic Qualifications
Graduates (10+2+3 or equivalent) in any discipline recognised by UGC/AICTE with minimum 50% aggregate marks at either UG/PG level.
Work Experience
A minimum of 2 years of work experience is preferred.
Certification Qualifying Details
The Advanced Professional Certification Programme In Data Science & Machine Learning syllabus has certain requirements pertaining to attendance and assessment, besides completion of the course.
What you will learn
Upon completion of the Advanced Professional Certification Programme In Data Science & Machine Learning classes, participants will learn:
- How to create models that can make predictions based on various machine learning techniques, such as finding patterns, grouping data, making decisions, and learning from data.
- How to handle different kinds of data such as tables, images, and text using tools like Python, R, MySQL, Excel, and Tableau.
- How to analyse and visualise data using statistical methods, exploring data, and making dashboards.
- How to use data science concepts to solve real-world problems and situations such as forecasting, recommending products, processing natural language, recognizing images, and analysing big data.
Who it is for
The Advanced Professional Certification Programme In Data Science & Machine Learning training is for anyone who wants to pursue a career in data science and machine learning, which are in-demand and lucrative fields in the modern world. Some of the career options or professions that one can explore after completing this course are:
- Machine Learning Engineer
- Big Data Engineer
- Data Analyst
- Data Scientist
Admission Details
Carefully follow the instructions at the URL: https://www.jaroeducation.com/advanced-professional-certification-programme-in-data-science-machine-learning-eict-iit-guwahati/
Step 1- The programme will check the candidate's eligibility.
Step 2- Submission of Application.
Step 3- Screening and Shortlisting
Step 4- Admissions and Fee payments.
Step 5 - Seat booking.
Application Details
The application takes basic details of the candidates and has a fee of Rs. 2,000.
The Syllabus
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, naĂŻve 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
Evaluation process
Learners will come across several assessments during the Advanced Professional Certification Programme In Data Science & Machine Learning online course. By successfully completing these assessments, they will unquestionably earn certification upon completing the course.
Instructors
IIT Guwahati (IITG) Frequently Asked Questions (FAQ's)
The duration of this programme is 10-12 months, and it is delivered online through live interactive sessions, recorded lectures, assignments, quizzes, projects, and mentorship
To be eligible for this programme, you need to have a graduation degree in any discipline recognised by UGC/AICTE with a minimum of 50% aggregate marks at either UG/PG level and a minimum of 2 years of work experience.
This programme covers various tools and technologies such as Python, R, TensorFlow, Keras, Scikit-learn, MySQL, Excel, Tableau, etc., which are widely used in the industry for data science and machine learning tasks.
No, you cannot pause or defer your enrolment in this programme once you have started it. You are expected to complete the programme within the stipulated duration of 10-12 months.
You will be evaluated based on your performance in assignments, quizzes, projects, and exams. You will also receive feedback and guidance from faculty members and mentors throughout the programme.