Event Title : One Week Short-Term Training Programme (STTP) on Data Analytics
Day, Date : Monday, 11th November 2024 - Friday, 15th November, 2024
The One-Week Short-Term Training Programme (STTP) on Data Analytics, organised by the department of Artificial Intelligence in collaboration with CTL, Vishwakarma University, offered a comprehensive exploration of key tools and techniques in the field, led by expert resource persons. Each day focused on a specific topic, blending theory with hands-on practice.
Day 1: Data Analytics Fundamentals
Prof. Kanchan Katake introduced the basics of data analytics using Python. The session began with an interactive quiz, followed by practical exercises on data cleaning, visualization, and creating plots like line and bar charts. Real-world applications in marketing, healthcare, and finance highlighted the relevance of these skills.
Day 2: Power BI
Prof. Prajakta Dhamdhere guided participants through Power BI, a versatile tool for data visualization and business intelligence. Attendees imported datasets, created visualizations such as pie charts and bar graphs, and built interactive dashboards, gaining confidence in using Power BI for analytics.
Day 3: Tableau
Prof. Richa Agnihotri led an engaging session on Tableau, focusing on data preparation and visualization. Participants created heat maps, scatter plots, and interactive dashboards, gaining practical experience to apply Tableau in professional settings.
Day 4: Social and Mobile Analytics
Dr. Kavita Kumawat explored analytics for social media and mobile platforms, covering metrics like engagement rates and sentiment analysis. Real-world examples demonstrated how these insights drive decision-making in marketing and customer engagement.
Day 5: Unstructured Data Analytics
Prof. Jayendra Jadhav concluded the program with a deep dive into unstructured data, including text, images, and videos. Hands-on exercises in text mining and image recognition showcased applications in social media monitoring and medical imaging.
The STTP provided participants with a strong foundation in data analytics, equipping them with both theoretical knowledge and practical skills to excel in this rapidly evolving field.
