Data Analysis – Use in AI
Unveiling Insights with Advanced Data Analysis Techniques for AI
MODE
Online/ e-LMS
Online/ e-LMS
TYPE
Mentor Based
Mentor Based
LEVEL
Advanced
Advanced
DURATION
10 weeks
10 weeks
Batches
Spring
Summer
Live
Autumn
Winter
Program Aim
To provide a deep understanding of data analysis techniques and their application in artificial intelligence to optimize decision-making processes.
About Program
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.
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
Certificate
Program Assessment
- Assignments: Hands-on tasks after each module, focusing on practical application of data analysis techniques in AI.
- Quizzes: Tests at the end of each module to evaluate understanding and retention.
- Capstone Project: Comprehensive data analysis project encompassing all aspects of the course.
Program Deliverables
- Comprehensive video lectures and detailed live sessions.
- Interactive projects and case studies reflecting real-world problems.
- Access to tools and software for hands-on learning in data analysis.
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
