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Invitation to Join a One-Month Short-Term Course on SPSS, ChatGPT, and AI for Data Analysis and Visualization

September 21 @ 6:00 pm - October 20 @ 7:30 pm

Bharat Digital Academy (BDA), a unit of Bharat Learning Solutions (P) Ltd. is One month short term course on SPSS, ChatGPT and AI for Data Analysis and Visualization (Online). ( Bilingual )

Course Duration: 
One Month
Date: 21 September to 20 October 2024
Time: 6:00 PM – 7:30 PM
Session Schedule:  Two in a week:,  Saturdays and Sundays

Mode:  Online (Bilingual: English and Hindi) (via Zoom)

Course Overview:
This course is designed to equip participants with practical skills in data analysis and visualization using SPSS, ChatGPT, and AI tools. The program is structured to cater to beginners and intermediate learners, offering hands-on sessions that focus on leveraging these tools to enhance data-driven decision-making and research capabilities.

Course Objectives:
– Understand the fundamentals of SPSS and its application in statistical analysis.
– Explore the capabilities of ChatGPT for data processing, interpretation, and reporting.
– Apply AI techniques to automate and improve data visualization.
– Integrate these tools for comprehensive data analysis workflows.

Key Topics Covered:
1. Introduction to SPSS:

   – Basics of SPSS interface
– Data entry and management
– Descriptive statistics and basic analysis
2. Advanced SPSS Techniques:
– Regression analysis
– ANOVA
– Non-parametric tests
3. ChatGPT for Data Interpretation:
– Utilizing ChatGPT for data summarisation
– Text analysis and insights generation
– Automating report writing
4. AI for Data Visualization:
– Introduction to AI-driven visualization tools
– Creating dynamic visualizations
– Predictive analytics and visual representation
5. Integrating SPSS, ChatGPT, and AI:
– End-to-end data analysis workflow
– Case studies and practical applications
– Best practices in data visualization

Course Deliverables:
– Certificate of Completion
– Course materials and resources
– Access to recorded sessions
– Practical assignments and case studies

Who Should Attend:
– Researchers and academicians
– Data analysts and statisticians
– Students pursuing higher education
– Professionals in need of data analysis skills

Details

Start:
September 21 @ 6:00 pm
End:
October 20 @ 7:30 pm
Event Category:
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