Data Science for Sustainability Workshop Series
Starting 23rd November
Gain real-world skills in data science tailored to sustainability! These series of four interactive, hands-on workshops provide the knowledge and tools to analyze, model, and apply data science effectively within the sustainability sector. Taught by IIT Bombay alumni with expertise in sustainability, each course offers a well-rounded experience with project-based learning, guided exercises, and dedicated doubt sessions.
This workshop dives into Excel's powerful tools for sustainability data. We’ll cover:
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Refresher of basic excel concepts
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Advanced functions and formulas for analyzing data
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Data wrangling techniques, including sorting, filtering, and managing datasets
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Data visualization for impactful storytelling
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Final Project: Create an interactive Sustainability Dashboard using advanced Excel features
Pre-requisites: No prerequisites required
Date: 23 - Nov -2024 (Saturday)
Time: 11:00 am onwards
Duration: 4hr live + hands-on/doubts session
Master Excel's modeling capabilities to make informed decisions in sustainability.
Key learnings include:
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Building forecasting models, sensitivity analysis, and scenario planning
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Using solver and optimization techniques for model development
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Introduction to regression analysis for sustainability metrics
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Final Project: Develop a sustainability model to optimize solar PV operating plant
​Pre-requisites: Data analysis in excel
Date: 30 - Nov -2024 (Saturday)
Time: 11:00 am
Duration: 4hr live + hands-on/doubts session
Designed for those ready to take their analysis to Python, this workshop covers:
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Data cleaning, transformation, and visualization using Pandas and Matplotlib
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Analyzing sustainability metrics with Python’s libraries
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Real-life examples to get actual understanding of data problems
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Final Project: Use Python to analyze and visualize sustainability data trends
​Pre-requisites: No pre-requisites or coding knowledge required
Date: 8 - Dec-2024 (Sunday)
Time: 11:00 am
Duration: 4hr live + hands-on/doubts session
Explore how machine learning (ML) can address sustainability challenges. Topics include:
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Learn basics of Regression, classification, and clustering techniques
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Using ML models to solve health & nutrition problems
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Case studies on sustainable resource allocation and prediction
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Final Project: Build and deploy an ML model in health & nutrition domain
​Pre-requisites: Data analysis & visualization in Python
Date: 14 - Dec-2024 (Saturday)
Time: 11:00 am
Duration: 4hr live + hands-on/doubts session