About Us


Course Description: This course provides students with a foundational understanding of data science concepts, techniques, and applications. Students will learn how to acquire, clean, explore, and analyze data, as well as communicate insights effectively through data visualization and storytelling. The course also introduces basic statistical methods and prepares students for more advanced topics in later courses.

Duration : One Year (Two Semesters)

Eligibility : Graduates of any discipline

Paperwise Distribution :


Paper 1 : Introduction to Data Science

o Overview of data science concepts and applications
o Data acquisition, cleaning, and exploration
o Basics of data visualization
o Introduction to statistical analysis for data science

Paper 2 : Programming for Data Science

o Fundamentals of programming using Python/R
o Data structures and algorithms
o Data manipulation and analysis using libraries like Pandas and NumPy
o Hands-on coding exercises and projects

Paper 3 : Machine Learning Fundamentals

o Introduction to machine learning concepts
o Supervised, unsupervised, and reinforcement learning
o Model evaluation and validation techniques
o Implementing machine learning algorithms

Paper 4 : Statistical Methods for Data Science

o Probability distributions and statistical inference
o Hypothesis testing and confidence intervals
o Regression analysis
o Experimental design and A/B testing

Paper 5 : Data Visualization and Communication

o Advanced data visualization techniques
o Storytelling with data
o Interactive visualizations using libraries like Matplotlib, Seaborn, and Tableau
o Effective communication of data insights


Paper 6 : Advanced Machine Learning

o Deep learning fundamentals
o Neural networks and architectures
o Convolutional and recurrent neural networks
o Transfer learning and model fine-tuning

Paper 7 : Big Data and Cloud Computing

o Introduction to big data technologies (Hadoop, Spark)
o Data storage and processing in distributed environments
o Cloud computing platforms (AWS, Azure, GCP)
o Scalable data analysis and machine learning on the cloud

Paper 8 : Natural Language Processing

o Basics of text processing and analysis
o Tokenization, stemming, and lemmatization
o Sentiment analysis, text classification, and named entity recognition
o Building NLP applications and chatbots

Paper 9 : Time Series Analysis

o Time series data and its characteristics
o Forecasting techniques (ARIMA, Exponential Smoothing)
o Seasonal decomposition and trend analysis
o Applications in finance, economics, and more

Paper 10 : Capstone Project in Data Science

o Real-world data science project from problem formulation to deployment
o Integration of skills learned throughout the program
o Collaboration with industry partners (if possible)
o Presentation and documentation of the project


Study Materials and Teaching Methodology

The entire study material will be made available online and the teaching/training will be done through online zoom based instructions.

Pay Online

You can pay the fee online. Fee can be transferred electronically in the Institute's Bank Account through ONLINE or RTGS etc. also. Click here to Pay Online


The details of the fee to be paid to The Global Open University Nagaland are the following :

The Admission Registration Fee : Rs. 3,500

Tuition Fee @ Rs. 2000 per month (for 12 months) : Rs. 24,000

Examination and Evaluation Fee @ Rs. 300 per paper (for 10 papers) :
Rs. 3,000

Total Fee : Rs. 30,500 (Rupees Thirty Thousand Five Hundred only)

The payment to The Global Open University Nagaland may be made as per the following details :


This amount is to be transferred to the Institute's Bank Account having the following details :

Name of the Account: Indian Institute of Data Science
Bank Name: AU Small Finance Bank
Account Number: 2301259852472977
IFS Code: AUBL0002598
Branch: Saket, New Delhi



Our Mission

To mould and nurture young people to become competent and responsible professionals in  Information Technology and Data Science Industry.

Our Core Values

Change Your Life. Because we Inspiring Minds and Change Lives.
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Building integrity and own individuality.
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Utilization of the paradigm of dependence, independence and inter-dependence.
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Rediscovering the concept practically and helps the student solve real time problems.

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