Learn how to analyze data and build intelligent, AI-powered solutions that solve real-world problems.
The Data Science with AI course focuses on combining data science techniques with artificial intelligence to build intelligent, data-driven systems.
You will learn how to analyze data, extract insights, and apply AI models to automate predictions and decision-making in real-world applications.
This course is hands-on, industry-aligned, and project-driven, preparing learners for AI-powered data roles in modern organizations.
A structured learning journey covering data science, artificial intelligence, and hands-on AI projects.
What is Data Science, data science lifecycle, types of data, data-driven decision making.
Python fundamentals review, NumPy & Pandas, data manipulation and analysis.
Handling missing and inconsistent data, transformation techniques, feature preparation basics.
Statistical analysis, pattern detection, insight generation.
Visualization principles, Matplotlib & Seaborn, communicating insights visually.
What is AI, AI vs ML vs Deep Learning, real-world AI applications.
Supervised & unsupervised learning, model training, model evaluation basics.
Neural network basics, AI-driven prediction models, use cases overview.
Model performance metrics, ethical AI considerations, AI-based prediction project, end-to-end AI data science case study.
To build a career in data science by applying artificial intelligence techniques to analyze data and develop intelligent, real-world solutions.
Step into the world of Artificial Intelligence and data-driven innovation with expert guidance.
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