1st Edition-International Conference on Data Analytics, Machine Learning & Applied Statistics

1st Edition - International Conference on Data Analytics, Machine Learning & Applied Statistics

Date: 11th & 12th February 2026 | Time: 8.00 am – 12:00 pm (IST) | Location: Online

Sample Abstract

Phone: 8977760443 Email: support@onegrasp.com

Overview:

This conference gathers leading academics, data scientists, statisticians, and industry practitioners to discuss innovative research and applications in data analytics, machine learning, and applied statistics. The focus is on emerging methodologies, real-world case studies, data-driven decision-making, and interdisciplinary approaches to solve complex problems across industries such as healthcare, finance, marketing, and technology.

Structure and Sessions (Who Does What):

Organizing Committee: Develops the agenda, manages conference logistics, coordinates keynote speakers, session chairs, and oversees abstract review.
Keynote Speakers: Experts share insights on state-of-the-art analytics, novel machine learning algorithms, and statistical models.
Session Chairs: Facilitate sessions, moderate Q&A sessions, and encourage participant interaction.
Presenters: Researchers and professionals present original papers, demos, and case studies.
Participants: Engage actively in sessions, workshops, and networking opportunities.
Technical Review Committee: Performs double-blind peer review to ensure academic quality.

Participate and Contribute (Who Benefits):

Data Analysts and Scientists: Learn innovative techniques, real-world applications, and best practices.
Statisticians and Academicians: Present specialized statistical methods and research results.
Industry Professionals: Explore analytics-driven strategies for competitive advantage.
Students and Early Career Researchers: Gain exposure and networking opportunities in data science fields.
Policy Makers and Business Leaders: Understand data governance, analytics impact, and AI ethics.

Benefits:

Certificate of Participation awarded upon feedback submission.
Commemorative momento recognizing contribution.
Abstracts Publishing.

Abstract Topics / Call for Papers (CFP) Tracks:

Advanced Data Analytics and Visualization
Machine Learning Algorithms and Applications
Deep Learning and Neural Networks
Statistical Methods and Applied Statistics
Predictive Modeling and Forecasting
Data Management and Engineering
AI Ethics, Governance and Privacy
Health Analytics and Bioinformatics
Business Intelligence and Marketing Analytics
Internet of Things (IoT) and Big Data Analytics

Detailed Program Grid (2 Half Days – 8 AM to 12 PM)

Time	Day 1	Day 2
08:00 – 08:15	Opening Ceremony & Welcome Address	Recap of Day 1 & Opening Keynote
08:15 – 09:00	Keynote Session I: Advances in Machine Learning and Analytics	Keynote Session III: Applied Statistics and Real-world Applications
09:00 – 09:45	Technical Session I: Predictive Modelling and Data Mining	Technical Session III: AI Ethics, Governance, and Privacy
09:45 – 10:00	Q&A and Networking Break	Q&A and Networking Break
10:00 – 10:45	Technical Session II: Big Data and IoT Analytics	Panel Discussion: Business and Healthcare Analytics
10:45 – 11:30	Abstract Presentations and Case Studies	Technical Session IV: Data Visualization and Decision Support
11:30 – 12:00	Participant Feedback and Closing Remarks	Closing Ceremony & Certificate Distribution

Submit Abstract & Registration :

Conference Dates	Conference Title	Timing (IST)	Abstract Submission Deadline	Registration Deadline
11th, 12th Feb 2026	1st Edition-International Conference on Data Analytics, Machine Learning & Applied Statistics	8:00 AM – 12:00 PM (IST)	1st Feb 2026	2nd Feb 2026

10:30 AM – 2:30 PM (SGT/CST/JST) | 12:30 PM – 4:30 PM (AEST – Australia) | 3:30 AM – 7:30 PM (BST – UK) | 9:30 PM – 1:30 AM (EST-US&Canada)

Abstract Guidelines:

300–350 words including Title, Author(s), Affiliation, Email, and 5 Keywords
Font: Times New Roman 12 pt, 1.5 spacing
File Format: .doc or .docx only
Peer review through double‑blind evaluation

Conclusion:

The International Conference on Data Analytics, Machine Learning & Applied Statistics offers a premier platform for academic exchange and industry collaboration, driving the advancement of analytics and data-driven innovation across sectors. Participants gain knowledge, share research, and build networks to enhance their impact in this rapidly evolving field.

Registration

Type of participation

Early Bird Registration

January 7, 2026

Mid Registration Deadline

January 21, 2026

Late Registration Deadline

February 4, 2026

No. of Participants ($159 each under Speaker / Poster (Virtual)) :

No of Accompanying Persons ($ 200 each )

Registration Summary

Registration Price (Per Person - Speaker / Poster (Virtual)):

$159

Participants:

Total Registration Price:

$159

Total Price:

$159

By clicking "Proceed to Pay", you agree to the privacy policy, terms & conditions and cancellation policy.

Note: For more information on registration queries, please contact: support@onegrasp.com

Registration includes:

For In-person attendees

Entry to all conference sessions, poster presentations, and the exhibition area
Conference kit comprising a name tag, program booklet, and abstract book
Two coffee breaks and lunch are provided for each day of the conference
Accreditation Certificate issued by the Organizing Committee

For Virtual Attendees

This category enables participants to present virtually at the conference from the convenience of their home or workplace without the need for in-person attendance. It includes:

Access to all presentations
An E-abstract book and program
An E-certificate for presentation and participation
A CPD (Continuous Professional Development) Certificate with Credits

Terms and Conditions

By enrolling in the conference, you hereby express your acceptance of the terms and conditions stated herewith.

The organization retains the authority to modify the program, date, and/or location at its discretion, without prior notification.

The organization cannot be held accountable for any loss or damage incurred due to substitutions, adjustments, delays, or cancellations of an event caused by unforeseen factors beyond its control. Such factors encompass, but are not limited to, force majeure, natural disasters, acts of sabotage, accidents, labor disputes, acts of terrorism, strikes, or hostilities.

The organization reserves the right and possesses the exclusive discretion to cancel any conference at any time under circumstances that are unavoidable and unanticipated. The organizer will not assume any additional liability towards the participant.

Registrations will remain valid for rescheduled events or future editions if the conference must be postponed due to circumstances beyond the organizer's control. Refund policies do not apply under these conditions.

In the instance of cancellation, the organization will make reasonable and appropriate alternative arrangements, which may include posting the cancellation notice on the relevant event website to inform those who have secured bookings or purchased tickets for the event.

Attendees are responsible for reviewing this information before the event. We strongly recommend regularly checking the conference website for updates.

The organizers shall not be held responsible for personal injuries or for the loss or damage to personal belongings of attendees, either during the conference.

Important COVID-19 Update for Participants

In case of any natural calamities, those who are unable to attend in person due to travel restrictions or health concerns, enable your virtual participation. Details on accessing the virtual platform will be provided 2 months prior to the conference. And on your request the registration will transfer to future editions.

We will provide regular updates on the conference website regarding any changes to the event format, health and safety measures, and other relevant information. Please check the website periodically for the latest updates.