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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.

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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

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

Machine learningKnowledge of PythonKnowledge of deep learning

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

Data AnalystData ScientistMachine Learning EngineerBig Data Analytics Engineer

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:

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, 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

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)

1: What is the duration and mode of the Advanced Professional Certification Programme In Data Science & Machine Learning online course?

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

2: What are the eligibility criteria for the Advanced Professional Certification Programme In Data Science & Machine Learning online programme?

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.

3: What are the tools and technologies covered in this programme?

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.

4: Can I pause or defer my enrollment in this programme?

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.

5: How will I be evaluated in this programme?

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.