Data Science Workshop for Research & Higher Studies

Live Class 1: Fundamentals of Data Science for Research
Data Science Lifecycle | Research Fields & Use-Cases | Research Question Framing | Variables & Measurement Scales | Tidy Data Principles | Data Ethics, Bias & Validity | Reproducibility  | Dataset Sanity Checks 

Live Class 2: Python & Core DS Libraries for Researchers
Python Basics | Files & CSV I/O | NumPy Concept | Pandas Essentials | Data Cleaning (Missing, Duplicates, Units) | Groupby & Aggregation | Time-Aware Resampling (Daily→Monthly) | Visualization with Matplotlib/Seaborn (Histogram, Line, Bar, Box) | Chart Labels, Units & Export

Live Class 3: Mini Project — “Monthly Weather Insights: Temperature & Humidity by Month”
Project Setup & Question | Date Parsing & Datetime Index | Resampling (Daily→Monthly) | Baselines & Simple Moving Average | Summary Table (Mean/Min/Max) | Line & Box Plots | Simple Metrics | Micro-Report (Methods | Results | Limitations)