Pandas – Use in AI Course

Course Overview

Pandas – Use in AI is a comprehensive 6-week course designed for M.Tech, M.Sc, and MCA students, as well as professionals in IT, data science, and related fields. This course focuses on mastering data handling, cleaning, manipulation, and visualization using the Pandas library, specifically for preparing data for AI models. Participants will learn how to efficiently manipulate large datasets and integrate Pandas into machine learning workflows for real-world applications.

Course Goals

The course aims to equip participants with the essential skills to effectively use Pandas for data manipulation, analysis, and preparation in artificial intelligence (AI) applications. By the end of the course, participants will be proficient in using Pandas for both practical AI model preparation and advanced data operations.

Program Objectives

• Data Manipulation Mastery: Achieve proficiency in using Pandas for complex data operations, including cleaning, transformation, and analysis.
• AI Integration: Learn to integrate Pandas with AI and machine learning workflows for effective data preprocessing.
• Practical Problem Solving: Develop enhanced problem-solving skills by applying Pandas in diverse real-world scenarios.

Program Structure

• Module 1: Introduction to Pandas
  • Essentials of Pandas and setting up the environment
  • Understanding Series and DataFrame structures
• Module 2: Data Manipulation Techniques
  • Comprehensive techniques for data importing, exporting, cleaning, and transformation
  • Handling missing data and outlier detection
• Module 3: Advanced Data Analysis
  • Grouping, aggregation, and advanced filtering
  • Time series analysis and handling categorical data
• Module 4: Visualization with Pandas
  • Basics of plotting with Pandas
  • Creating interactive and informative visualizations
• Module 5: Integrating Pandas with AI Models
  • Data preprocessing for machine learning models
  • Feature engineering using Pandas for AI projects
• Module 6: Capstone Project and Real-World Application
  • Apply Pandas in a real-world AI project, from data planning to model implementation
  • Hands-on project that mirrors practical industry applications

Eligibility

• Students: M.Tech, M.Sc, MCA students specializing in AI, data science, or related fields.
• Professionals: IT and data science professionals looking to enhance their data handling skills for AI projects.

Learning Outcomes

• Advanced Data Skills: Gain in-depth knowledge and hands-on experience with Pandas for data analysis and manipulation.
• AI Readiness: Be prepared to implement AI projects using advanced data techniques and Pandas for data preprocessing.
• Innovative Solutions Development: Learn to develop innovative solutions by leveraging data insights gained through Pandas.