AI AND ML TRAINING PROGRAM BY HAMARI PAHCHAN NGO DAY 17
AI and ML Training Program by Hamari Pahchan NGO – Day 17
Day 17 of the AI and ML Training Program organized by Hamari Pahchan NGO focused on developing practical data management and visualization skills. The session introduced participants to important tools like Microsoft Power BI and Microsoft Excel, which are widely used for data analysis and decision-making.
The session began with an introduction to Microsoft Power BI, a powerful data visualization tool developed by Microsoft. Trainers explained how Power BI helps users transform raw data into meaningful dashboards, charts, and reports. Participants learned how organizations use Power BI to understand trends, monitor performance, and make better decisions based on data.
After the introduction, the trainers demonstrated how to import Excel files into Power BI. Using data created in Microsoft Excel, participants learned the process of uploading datasets into Power BI for analysis. They practiced selecting the required Excel file, loading the data, and checking tables before creating visualizations. This activity helped participants understand how different tools can work together for effective data management.
Another important part of the training focused on managing files within Power BI. Participants learned how to add new files to update their datasets and how to remove unnecessary files to keep their workspace organized. The trainers explained that proper file management helps avoid confusion and ensures that only relevant data is used for analysis.
The session also included a short hands-on practice activity where participants explored sample datasets and tried importing, adding, and removing files themselves. This practical learning approach helped them gain confidence in using data tools.
Overall, Day 17 was highly informative and skill-based. The training helped participants understand the importance of data organization, visualization, and analysis. By learning to use tools like Power BI and Excel together, participants are gradually building essential digital and analytical skills that will support them in future careers in technology and data-related fields.
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