In the modern data-driven world, businesses and organizations require advanced analytical techniques to extract meaningful insights and drive strategic decision-making. This 60-hour training on Data Analytics using AI is designed to equip participants with the necessary skills in data preprocessing, exploratory data analysis (EDA), machine learning, deep learning, NLP, and Generative AI. The course covers industry-relevant tools and real-world applications, ensuring learners can leverage AI-driven analytics for business growth.
This training is ideal for data analysts, business intelligence professionals, data scientists, and AI enthusiasts who want to apply AI techniques to data analytics.
Training Objectives:
By the end of this training, participants will be able to:
- Understand the core concepts of Data Analytics and AI
- Perform data cleaning, preprocessing, and EDA using Python
- Build and interpret Machine Learning models (Regression, Classification, Clustering)
- Work with Deep Learning and NLP techniques (BERT, Hugging Face models)
- Implement AI-powered predictive analytics for business decision-making
- Deploy AI models using Flask and FastAPI
- Leverage Generative AI for automated insights and reporting
Target Audience:
This program is designed for:
- Data Analysts & Business Analysts seeking to enhance their AI capabilities
- Data Scientists & ML Engineers looking to integrate AI into analytics
- IT Professionals & Developers transitioning into AI-driven analytics
- Business Intelligence Professionals who want to automate insights using AI
- No prior AI/ML experience is required, but basic knowledge of Python and data analytics is recommended.
Prerequisites:
Participants should have:
- Basic knowledge of Python (variables, data types, loops, and functions)
- Understanding of basic statistics (mean, median, variance, probability)
- Familiarity with SQL fundamentals (SELECT, WHERE, JOIN operations)
- Knowledge of Excel for data handling (optional but helpful)
- No prior AI/ML experience is required, but a willingness to work with AI-based tools is recommended
Training Duration & Mode:
- Total Duration: 120 Hours (60 Hours Live Sessions + 60 Hours Hands-on Assignments)
- Mode: Online Live
- Tools Used: Python, SQL, Matplotlib, Seaborn, Scikit-learn, Hugging Face, Flask, FastAPI