Data Analysis – Use in AI
Unveiling Insights with Advanced Data Analysis Techniques for AI
Skills you will gain:
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.
Aim: To provide a deep understanding of data analysis techniques and their application in artificial intelligence to optimize decision-making processes.
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.
What you will learn?
- 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.
Intended For :
- 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.
Career Supporting Skills
