Data Science Lab

Summer course on Data Science

This course is specifically designed for students with the objective to simulate industry experience for enhancing their skills by associating with industry experts. It will help them develop sound knowledge on the area of data science and execute industry relevant technical projects under the guidance of experts from industry.
After completion of this course, the students will be able to:

• understand the patterns in varied forms of data and their behavior
•  understand how machine learning models can be created (Regression, Classification, Clustering)
• understand how self-learning machines can ingest continuous pipelines of user data and find patterns, thereby predicting the future with a significant confidence
• understand predictive modelling, sentiment analysis, user clustering and deep learning with their applications
• design different models on varied forms of data to present solutions to many data science related problems.

Industry Expert: Parijat Roy, Data Scientist, Microsoft; 6+ years of industry experience; 6+ years of experience in data science

Summer course on Data Science

The summer course on Data Science is designed specifically for the students for providing them training in the domain. Highlight of this program is the industry relevant technical project which the students are doing under the guidance of an expert from industry. This course will help the students develop sound knowledge on the area of data science.
After completion of the course, the students will be able to:

• understand various machine learning models
• design projects on data science to validate the understandings

Industry Experts: Parijat Roy, Data Scientist, Microsoft; 6+ years of industry experience; 6+ years of experience in data science

Lecture Series on Data Science

The objective of this lecture series is to enhance the skill of faculty members in the domain of Data Science. A series of sessions will be conducted with a focus on different machine learning models and their applications on varied forms of data.
After completion of this lecture series, the faculty members will be able to:

• understand various machine learning models based on supervised or unsupervised learning mechanism
• apply the machine learning models on different computational problems in the broad domain of data science
• execute independent research in different application domains

Academic Expert: Dr. Sudarsan Padhy, Professor, SIT, Bhubaneswar; 46+ years of teaching and research experience.

Workshop on Machine Learning for Data Science using Python (MLDSP-2020)

The objective of this workshop is to introduce participants to state-of-the-art methods in Machine Learning. Ten resource persons from Academia and Industry delivered talks and conducted hands-on sessions using python during the workshop.
After completion of this workshop, the participants will be able to

• understand different machine learning models: Linear Regression, Logistic Regression, Gradient Descent Method, and clustering techniques
• understand the applications of machine learning models in Forecasting, Recommended Systems, Text and Speech Analytics
• apply different machine learning models on different types of data set and computational problems.

Industry Experts: Dr. Sriparna Saha (IIT Patna), Dr. Ajaya Anand (KIIT, University, Bhubanewar), Dr. Priyadarsan Patra (Xavier University, Bhubaneswar), Dr. Sudarshan Padhy (SIT, Bhubaneswar), Dr. Rakesh Chandra Balabantaray (IIIT, Bhubaneswar), Dr. Rudra Mohan Tripathy (Xavier University, Bhubaneswar), Dr. Debi Das (IMMIT, Bhubaneswar), Dr. Asish Ghosh (ISI, Kolkata), Dr. Ajit Kumar Nayak (SOA university, Bhubaneswar), Dr. Pravat Kumar Santi (TCS Bhubaneswar)

Training Programs on Data Science

The objective of this training program is to enhance the skill of our students in the broad domain of Data Science by associating them with industry experts.
After completion of this training, the students will be able to:

• understand the different data pre processing methods
• understand how machine learning models can be applied on varied forms of data
• apply machine learning algorithms on different data science application domains
• Design projects on data science
• Industry Expert: Parijat Roy, Data Scientist, Microsoft; 6+ years of industry experience; 6+ years of experience in data science

FDP on ‘Data Science’

The objective of the Faculty Development Program on Data Science is to provide a brief overview of the Data science broad domain to the faculty members.
After completion of this program, the participants will be able to:

• understand the broad domain of data science
• understand the opportunities and challenges in applied data science with different Industry case studies
• identify active areas of research and possible road-map for developing data science knowledge and research

Industry Expert: Dr. Sumit Misra, Associate Vice President, RS Software; an Architect, Researcher, Technology Evangelist, Ph.D. Data Science, 30+ years of industry experience

Lecture series on ‘Machine Learning’

The objective of this lecture series is to enhance the skill of faculty members in the domain of Machine Learning to prepare them to teach the course. 10 lectures were delivered on selected topics of Machine Learning.
After completion of this lecture series, the faculty members will be able to:

• understand the basic concepts of machine learning
• understand different machine learning models and their applications
• apply different machine learning models on different application domains of data science

Academia Expert: Dr. Sudarsan Padhy, Professor, SIT, Bhubaneswar; 46+ years of teaching and research experience

Seminar on ‘Reproducible Research’

The objective of conducting a seminar for the faculty members on the topic- “Reproducible Research” is to explain the different approaches and software tools used towards making research reproducible.
After attending the seminar, the faculty members will be able to:

• understand different approaches and tools for reproducible research.
• apply the available tools for making research reproducible.

Academia Expert: Dr. Smruti Padhy, Research Scientist, MIT, USA

National Workshop on Data Analytics Using R (DAUR–2018)

The objective of the National Workshop on Data Analytics Using R is to provide training to the faculty members teaching/ planning to teach Data Analytics/ Machine Learning courses. Six resource persons from Academia and Industry delivered talks and conducted hands-on sessions during the workshop on various Data Analytics techniques and models.
After completion of the workshop, the participants will:

• have grounding on various Data Analytics techniques along with their theoretical foundation, algorithms, and practical examples to teach/ to do research and development in Data Analytics.
• learn to use R in Data Analytics problems
• understand broad opportunities for automation with Data Analytics and apply it in practice
• formulate problems as Data Analytics tasks and solve them

Experts: Dr. Debasish Samanta (IIT, Kharagpur), Dr. Rudra Mohan Tripathy (Xavier University Bhubaneswar), Prof. Sudarsan Padhy (SIT, Bhubaneswar), Prof. Saroj Kanta Misra (SIT, Bhubaneswar), Prof. Bijan Bihari Misra (SIT, Bhubaneswar), Pradipta Kumar Pattanayak (SIT, Bhubaneswar)

Lecture Series on Deep Learning and its Applications

The objective of the lecture series on Deep Learning and its Applications is to enhance the skill of faculty members in the domain to carry out advanced research in different domains applying deep learning models. 8 lectures were delivered during this session.
After completion of the lecture series, the faculty members will:

• have a clear understanding on the deep learning architecture
• understand implementation of several algorithms using Python
• be able to apply deep learning on different application domains

Academia Expert: Dr. Sudarsan Padhy, Professor, SIT, Bhubaneswar, 46+ years of teaching and research experience