Researchers, consultants, progressive circle of readers from premier education bodies, Academicians and leading corporate etc.
i-manager’s Journal on Data Science & Big Data Analytics aims to bring the best of research and innovations in the field of Data Science and Engineering and reveal the hidden patterns found in the data captured in very large databases with the precision of human intelligence. The Journal will bring bright ideas ignited in the young minds that will explore future opportunities in the area of data security, data intelligence, business intelligence, supply chain automation, industrial automation and fields that are yet to be envisioned. The Journal aims to provide a platform for academicians, researchers and students to expose the knowledge from the evolving domain of data science with fresh reviews, research experiment with new concepts in data modelling, case studies of successes in implementation of new technologies etc.
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We follow stringent publication ethics, and plagiarized papers are not published, and are withdrawn at any stage of the publishing process. Plagiarism is not limited to the Results and Discussion sections; it can involve any part of the manuscript, including figures and tables, in which material is copied from another publication without attestation, reference, or permission.
i-manager Publications follow transparent policies right from paper submission to publication through various well defined and time tested processes.Click Here
The Journal follows a double blind peer-review process. The submitted articles / research papers are reviewed by Professors/Educators in Engineering fields.
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This Journal is owned and managed by i-manager’s Educational Society. The Journal is self-supported by academic subscriptions and royalty from academic databases.
Blockchain and Data Authenticity
Stages and Components of Big Data
Exploratory Data Analysis
Big Data Life Cycle
Online Analytical Processing (OLAP) and Data Warehousing
Data Modelling and Visualization
DevOps for Data Science
Predictive Analysis and Prescriptive Analytics
Unstructured Data and Natural Language Processing
System Dynamics Simulation
Image and Video Analytics
FinTech and Modern Banking
Probabilistic Graphical Models
Text Mining and Analytics
Metadata Driven Data Fabric
Data Visualization and Tableau