Event Title
“Data Analytics & Insights Workshop”
Hosted by Palin Analytics at DICS University
Event Description (for flyers, website, emails)
Unlock the power of data to drive smarter decisions! Join us for an immersive Data Analytics & Insights Workshop hosted by Palin Analytics at DICS University, where students, faculty, and data enthusiasts come together to explore real-world analytics techniques, tools, and best practices.
In this hands-on workshop, you’ll:
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Learn the data analytics lifecycle: data collection, cleaning, exploration, modeling, and interpretation
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Understand key tools and techniques: Excel, SQL, Python (Pandas, NumPy), data visualization (Tableau, Power BI)
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Work on live case studies and small projects to apply your learning
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Discover how analytics is used in business across domains (finance, marketing, operations)
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Get guidance and interaction with industry-experienced trainers from Palin Analytics
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Gain insights into analytics careers, required skills, and how to prepare for roles in data
Why attend?
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Experience practical, hands-on training (not just theory)
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Receive mentorship and ask your queries to data professionals
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Earn a certificate of participation
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Boost your analytical thinking and resume value
Target Audience:
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Undergraduate / postgraduate students in engineering, commerce, management, statistics, etc.
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Faculty members interested in data application
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Aspiring data analysts or enthusiasts with basic numeric/Excel knowledge
Pre-requisite:
Basic understanding of Excel (formulas, tables) and comfort with numbers/statistics is preferred.
Duration & Format:
(Optional — adapt based on your plan)
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Full day (6–7 hours) or Two half-days
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Mix of lectures, demo sessions, and project work
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Group discussions and Q&A
Logistics:
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Venue: Lecture hall / Computer lab at DICS University
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Participants: Up to N students (specify)
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Materials provided: Sample datasets, software access, worksheets, handouts
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Requirements from participants: Laptop with basics installed (Excel, Python environment optional)
Outcome / Takeaways:
By the end of the workshop, participants will be able to:
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Perform data cleaning and exploratory analysis
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Build simple dashboards / visualizations
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Interpret analytics results and present insights
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Understand the next steps for deeper analytics learning