Data Analysis – Use in AI

Unveiling Insights with Advanced Data Analysis Techniques for AI

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Online/ e-LMS
Mentor Based
10 weeks


This course offers a comprehensive exploration into data analysis with a focus on its pivotal role in artificial intelligence. It covers statistical methods, data management, and predictive analytics, enhancing skills in handling, analyzing, and interpreting data to drive AI innovations.


To provide a deep understanding of data analysis techniques and their application in artificial intelligence to optimize decision-making processes.

Program Objectives

  • Master advanced data analysis techniques and their applications in AI.
  • Develop skills to manage, process, and analyze large datasets to uncover actionable insights.
  • Enhance proficiency in predictive analytics and machine learning model development.

Program Structure

  • Foundations of Data Analysis for AI: Introduction to data analysis, statistical concepts, and the essential tools for data analysis.
  • Data Management for AI: Techniques for data collection, cleaning, preparation, and ethical data handling.
  • Exploratory Data Analysis (EDA): Deep dive into EDA techniques and implementing EDA using Python.
  • Predictive Analytics and Machine Learning: Basics of machine learning, building predictive models, and exploring advanced AI techniques like neural networks.
  • Case Studies and Applications: Application of data analysis in various industries such as healthcare and retail, and real-world project implementations.

Participant’s Eligibility

  • Data analysts, AI professionals, and anyone interested in advanced data analysis.
  • Students and professionals in IT, computer science, and related fields seeking to enhance their data analytics skills.

Program Outcomes

  • Strong foundation in data analysis and its application in AI.
  • Ability to design and implement AI-driven data analysis projects.
  • Skills to use advanced analytical tools to solve complex problems in various industries.

Fee Structure

Standard Fee:           INR 49,998           USD 1,300

Discounted Fee:       INR 24999             USD 650





Program Assessment

Certification to this program will be based on the evaluation of following assignment (s)/ examinations:

Exam Weightage
Mid Term Assignments 20 %
Final Online Exam 30 %
Project Report Submission (Includes Mandatory Paper Publication) 50 %

To study the printed/online course material, submit and clear, the mid term assignments, project work/research study (in completion of project work/research study, a final report must be submitted) and the online examination, you are allotted a 1-month period. You will be awarded a certificate, only after successful completion/ and clearance of all the aforesaid assignment(s) and examinations.

Program Deliverables

  • Access to e-LMS
  • Real Time Project for Dissertation
  • Project Guidance
  • Paper Publication Opportunity
  • Self Assessment
  • Final Examination
  • e-Certification
  • e-Marksheet

Placement Assistance

  • Industry Engagement: Interaction with industry experts and exposure to real-world data analysis scenarios.
  • Career Opportunities: Guidance and support for career advancement in data analysis and AI fields.

Future Career Prospects

  • Data Scientist
  • AI Analyst
  • Predictive Analytics Specialist

Enter the Hall of Fame!

Take your research to the next level!

Publication Opportunity
Potentially earn a place in our coveted Hall of Fame.

Centre of Excellence
Join the esteemed Centre of Excellence.

Networking and Learning
Network with industry leaders, access ongoing learning opportunities.

Hall of Fame
Get your groundbreaking work considered for publication in a prestigious Open Access Journal (worth ₹20,000/USD 1,000).

Achieve excellence and solidify your reputation among the elite!


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