Certificate Program on EDA Using Python

PESITM, Shivamogga

A Certificate Program on Exploratory Data Analysis (EDA) Using Python was conducted at PESITM, Shivamogga for Computer Engineering students. The program provided hands-on training in Python-based data analysis, including data cleaning, visualization, and interpretation of datasets. Participants explored real-world data, applied Pandas, NumPy, and Matplotlib, and gained practical skills to analyze and visualize data efficiently.

EDA Using Python Workshop

Workshop Highlights

  • Introduction to EDA

    Overview of Exploratory Data Analysis and its role in data-driven decisions. Understanding Python’s capabilities for analyzing data.

  • Data Cleaning & Preprocessing

    Handling missing values and duplicates using Pandas. Preparing datasets for accurate analysis.

  • Data Analysis & Aggregation

    Using filtering, grouping, and aggregation to explore patterns. Extracting actionable insights from datasets.

  • Data Visualization

    Creating charts and plots with Matplotlib and Seaborn. Representing trends and correlations clearly.

  • Final Project & Insights

    Applying all techniques on a real-world dataset. Summarizing findings and presenting insights effectively.

About the Workshop

EDA Workshop at PESITM

Overview

A Certificate Program on Exploratory Data Analysis (EDA) Using Python was conducted at PESITM, Shivamogga for Computer Engineering students. The workshop focused on data cleaning, visualization, aggregation, and deriving insights using Python libraries such as Pandas, NumPy, and Matplotlib.

Workshop Applications

  • 💻 Cleaning and preprocessing datasets for analysis
  • 💻 Performing exploratory analysis to identify patterns and trends
  • 💻 Creating visualizations using Matplotlib and Seaborn
  • 💻 Applying EDA techniques to real-world datasets
  • 💻 Extracting actionable insights for data-driven decisions

Participants practiced hands-on EDA projects, developing strong analytical and visualization skills applicable to academic and industry scenarios.

EDA Hands-on Session
EDA Workshop Outcomes

Learning Outcomes

  • Ability to clean and preprocess datasets efficiently
  • Hands-on experience with Python libraries: Pandas, NumPy, Matplotlib
  • Developing skills to analyze, visualize, and interpret data effectively

By the end of the workshop, students gained practical EDA skills, built confidence in data analysis using Python, and could derive meaningful insights from datasets.

When:
Apr 21–25, 2025

Mode:
In-Person

Participants:
DS Students

Focus:
EDA with Python

Workshop Moments

  • Workshop 2
  • Workshop 3
  • Workshop 4
  • Workshop 5
  • Workshop 5
  • Workshop 4
  • Workshop 5
  • Workshop 5

Voices of Participants

The workshop helped me understand how to analyze and visualize data using Python. Applying Pandas and Matplotlib on real datasets was very practical and engaging.

- Ananya, Computer Engineering Student

I really enjoyed the hands-on EDA sessions. Exploring patterns, trends, and creating visualizations made data analysis clear and fun!

- Rahul, Computer Engineering Student

The workshop gave me confidence to perform exploratory data analysis independently. I can now clean, visualize, and interpret datasets efficiently using Python.

- Priya, Computer Engineering Student
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