AI Powered Data Analytics

This course provides a comprehensive exploration of how Artificial Intelligence (AI) is revolutionizing data analytics. Participants will learn to leverage AI tools and techniques to extract deeper insights, automate complex analytical processes, and drive data-informed decision-making across various business functions.

By the end of this course, participants will be able to:

– Understand the foundational concepts of AI and machine learning as applied to data analytics.
– Identify and apply key AI algorithms for predictive modeling, anomaly detection, and natural language processing in data.
– Gain hands-on experience with popular AI-powered analytics platforms and libraries.
– Develop strategies for integrating AI into existing data analytics workflows and infrastructure.
– Evaluate the ethical considerations and potential biases in AI-driven data analysis.
– Interpret and communicate AI-generated insights effectively to stakeholders.

1- AI Fundamentals for Data Analytics
2- Machine Learning Algorithms in Practice
3- AI-Powered Data Visualization and Interpretation
4- Implementing AI Analytics Solutions
5- Ethics and Future Trends in AI Data Analytics

Data analysts, business intelligence professionals, data scientists, IT managers, and business leaders seeking to enhance their data analytics capabilities with AI.

A blend of lectures, case studies, hands-on labs using Python libraries (e.g., Scikit-learn, TensorFlow, PyTorch) and cloud-based AI analytics platforms, group discussions, and project-based learning.

Upon completion, participants will be equipped to harness the power of AI for advanced data analysis, leading to more accurate predictions, automated insights, and strategic business advantages.