The Data Science with AI course is designed to help students build strong analytical, programming, and artificial intelligence skills required in today's data-driven world. This comprehensive program combines Data Science fundamentals with modern AI technologies,
enabling learners to collect, analyze, visualize, and interpret data to solve real-world business problems.
The course covers Python programming, SQL/Oracle databases, Artificial Intelligence, Machine Learning, and Data Visualization.
Through practical assignments and industry-based projects, students gain hands-on experience with tools and techniques used by leading organizations across various sectors.Whether you are a student, graduate, or working professional, this course provides the knowledge and practical skills needed to start or advance your career in Data Science and AI.
Learn the fundamentals of Python, one of the most popular programming languages for Data Science and AI. Students will understand variables, data types, loops, functions, file handling, object-oriented programming, and essential Python libraries used for data analysis.
Develop the skills needed to manage and analyze data stored in databases. This module covers SQL queries, database design, joins, subqueries, functions, stored procedures, and Oracle database concepts to help students work efficiently with large datasets.
Explore the fundamentals of Artificial Intelligence and understand how intelligent systems work. Topics include AI concepts, intelligent agents, Natural Language Processing (NLP), Computer Vision, Generative AI, chatbots, and real-world AI applications.
Learn how machines can analyze data and make predictions. Students will study supervised and unsupervised learning, regression, classification, clustering, model evaluation, and predictive analytics through practical examples and projects.
Industry-Focused Curriculum
Practical & Project-Based Learning
Real-World Case Studies
Expert Faculty Guidance
Hands-On AI & Machine Learning Training
Resume Building Support
Interview Preparation Sessions
Course Completion Certificate
After completing this course, students can pursue roles such as:
Data Scientist
Data Analyst
Machine Learning Engineer
AI Specialist
Business Analyst
Data Engineer
Business Intelligence Analyst
Research Analyst
