Titanic Survival Analysis using Pandas

Unlock the story behind the world’s most famous shipwreck using real data. This beginner-friendly microlearning course will teach you how to perform end-to-end Exploratory Data Analysis (EDA) using the Titanic dataset, a favorite in Data Science learning.

You will learn how to clean data, handle missing values, visualize survival patterns, and uncover hidden insights using Pandas and Matplotlib — all with hands-on coding in Python.

By the end of this course, you’ll be confident in working with real-world datasets, performing EDA, and creating meaningful visual reports.

🐍 Use Python and Pandas to load, explore, and transform real data
🧹 Clean and prepare datasets by handling missing and inconsistent values
📊 Create insightful visualizations (bar charts, pie charts, histograms)
🧠 Extract survival insights based on Age, Gender, Class, Embarkment
🛠️ Apply filtering, groupby, and conditional logic in data analysis
📁 Work on Google Colab with a step-by-step notebook guide

Course Content

Introduction to the Titanic Dataset

Understanding the Dataset

Data Exploration
Basic Understanding Checking data types and shapes Identifying missing values

Data Cleaning
Handling null values Replacing missing data Creating a new feature

Survival Analysis
Grouping Cross-tabulation and conditional filtering Creating survival rate metrics

Data Visualization
Bar plots for survival by gender and class Pie chart of survival ratio Histogram of age distribution Stacked bar plots for multi-factor visualization

Survival Insight Report
Compile EDA findings into a narrative Save visualizations and present insights

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Price:
₹399.00 ~~₹899.00~~
Instructor:admin
Duration: 1 hour
Lessons:1
Students:0
Level:Beginner
Certifications:No

What Will You Learn?

Material Includes

Audience

Course Content

Introduction to the Titanic Dataset

Understanding the Dataset

Data Exploration
Basic Understanding Checking data types and shapes Identifying missing values

Data Cleaning
Handling null values Replacing missing data Creating a new feature

Survival Analysis
Grouping Cross-tabulation and conditional filtering Creating survival rate metrics

Data Visualization
Bar plots for survival by gender and class Pie chart of survival ratio Histogram of age distribution Stacked bar plots for multi-factor visualization

Survival Insight Report
Compile EDA findings into a narrative Save visualizations and present insights

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Titanic Survival Analysis using Pandas

What Will You Learn?

Material Includes

Audience

Course Content

Introduction to the Titanic Dataset

Understanding the Dataset

Data Exploration Basic Understanding Checking data types and shapes Identifying missing values

Data Cleaning Handling null values Replacing missing data Creating a new feature

Survival Analysis Grouping Cross-tabulation and conditional filtering Creating survival rate metrics

Data Visualization Bar plots for survival by gender and class Pie chart of survival ratio Histogram of age distribution Stacked bar plots for multi-factor visualization

Survival Insight Report Compile EDA findings into a narrative Save visualizations and present insights

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Student Ratings & Reviews

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Data Exploration
Basic Understanding Checking data types and shapes Identifying missing values

Data Cleaning
Handling null values Replacing missing data Creating a new feature

Survival Analysis
Grouping Cross-tabulation and conditional filtering Creating survival rate metrics

Data Visualization
Bar plots for survival by gender and class Pie chart of survival ratio Histogram of age distribution Stacked bar plots for multi-factor visualization

Survival Insight Report
Compile EDA findings into a narrative Save visualizations and present insights