Gen AI for Data Analytics

This course is ideal for:

• Data Analysts and Business Analysts
• MIS and Reporting Professionals
• Project Managers and Consultants
• IT and Software Professionals
• Business Intelligence (BI) Professionals
• Managers involved in decision-making
• Students and Freshers interested in AI and analytics
• Anyone looking to improve productivity using AI-powered data analysis tools

There are no strict prerequisites for joining this course. However, basic knowledge of:

• Excel or spreadsheets
• Business reporting concepts
• Data handling and analytics fundamentals
  will be beneficial. The course is designed in a simple and practical manner, making it suitable for both technical and non-technical participants.

Generative AI significantly improves data analytics by:

• Automating repetitive analysis tasks
• Generating reports and dashboards quickly
• Providing AI-driven insights and recommendations
• Simplifying data interpretation
• Assisting in predictive analytics and forecasting
• Reducing manual effort and improving efficiency
• Enabling faster business decision-making
  Generative AI acts as a productivity accelerator for analytics professionals.

The training may cover leading AI and analytics tools such as:

• OpenAI ChatGPT
• Microsoft Copilot
• Google Gemini
• Microsoft Excel AI Features
• Microsoft Power BI
• Python-based AI analytics tools
• AI-powered visualization and reporting platforms
• Prompt engineering techniques for analytics
  The exact tools may vary based on batch requirements and latest industry trends.

Yes. The training is highly practical and industry-oriented. Participants will work on:

• Real-world business case studies
• AI-assisted data analysis exercises
• Dashboard and reporting activities
• Prompt engineering practice sessions
• Data visualization examples
• AI-based automation use cases
  The objective is to provide practical exposure rather than only theoretical knowledge.

Generative AI can automatically:

• Create charts and dashboards
• Summarize large datasets
• Generate executive-level reports
• Convert raw data into meaningful insights
• Recommend visualization formats
• Build presentations and analytics summaries
  This helps organizations save time and improve reporting quality and consistency.

Key benefits include:

• Improved productivity and efficiency
• Faster report generation and analysis
• Better decision-making capabilities
• Enhanced career opportunities
• Reduced manual effort in analytics tasks
• Improved business forecasting capabilities
• Competitive advantage in AI-driven workplaces
• Ability to automate repetitive reporting activities

Generative AI helps organizations analyze historical trends, identify patterns, and generate predictive insights. It assists in:

• Forecasting sales and revenue
• Predicting business risks and trends
• Customer behavior analysis
• Demand forecasting
• Financial and operational planning
  AI-driven predictive analytics enables smarter and faster business decisions.

Yes. The course is designed for both technical and non-technical professionals. The concepts are explained in simple and practical language with real-world examples. Non-technical participants can effectively learn how to use AI tools for reporting, analytics, and decision-making without deep programming knowledge.

The training includes practical use cases from industries such as:

• Banking and Finance
• IT and Software Services
• Healthcare and Pharma
• Manufacturing
• Retail and E-Commerce
• Project Management
• Cybersecurity and Risk Management
  Participants learn how AI can improve reporting, forecasting, automation, customer insights, and operational efficiency.

Generative AI can automate:

• Data cleaning and formatting
• Report preparation
• Data summarization
• Dashboard generation
• Trend analysis
• Email and presentation creation
• KPI and metrics reporting
  This allows professionals to focus more on strategic decision-making instead of manual repetitive work.

Yes. Prompt engineering is one of the important components of the training. Participants will learn:

• How to write effective AI prompts
• Techniques for generating accurate analytics outputs
• AI-assisted report generation methods
• Data interpretation prompts
• Dashboard and visualization prompts
• Best practices for using Generative AI tools effectively

After completing the course, participants can explore opportunities such as:

• AI-Powered Data Analyst
• Business Analyst
• Reporting Analyst
• BI Analyst
• Data Visualization Specialist
• AI Automation Consultant
• MIS Executive
• AI Productivity Specialist
• Digital Transformation Consultant
  Generative AI skills are increasingly in demand across industries worldwide.

Yes. Participants will receive a professional course completion certificate from IEVISION IT Services Pvt. Ltd. after successfully completing the training program. The training also includes:

• Trainer guidance and mentorship
• Practical learning support
• Real-world case studies
• Post-training assistance
• Career-oriented learning approach
  The course is conducted by experienced trainer Mahesh Pande with extensive industry and consulting experience.