Data Science & EDA: Global Conflict Project from Scratch

Master Data Science Skills, Analyze Global Conflicts, cluster & visualize real-world crisis data with Python & ChatGPT

What you'll learn
- Course Introduction
- Loading the Dataset
- Understanding the Variables in the Dataset
- Exploring the Characteristics of Our Conflict Dataset
- Missing and Unique Value Analysis
- Renaming Variables
- Ensuring Data Consistency
- Distribution Analysis of Conflict
- Exploring Annual Trends
- Analyzing Conflict Data by Region
- Visualizing Conflict Data Correlations
- Bar Charts for Regional Death Counts
- Identifying Top Events with Highest Fatalities
- Stacked Bar Charts for Conflict-related Deaths Over the Years
- Exploring Trends with Bubble Charts
- Filtering Regional Death Trends: A Temporal Analysis
- Mastering Elbow Method and Silhouette Scores
- Regional Conflict Clustering
- Advanced Data Visualization with Plotly – Animating Conflict Trends Over Time
- Heatmap Visualization of Regional Conflict Metrics
- In-Depth Statistical Analysis of Numerical Data in Conflict Studies
- Testing for Normality in Conflict Data Using the Shapiro-Wilk Test
- Advanced Outlier Detection Using Z-Scores in Conflict Data

Requirements
- A working computer (Windows, Mac, or Linux)
- Basic understanding of Python (just the essentials—loops, functions, and variables)
- Interest in data science and real-world applications
- Curiosity about global issues like conflict, peace, and humanitarian analysis
- Motivation to transform raw data into meaningful insights
- No prior experience with EDA or conflict datasets required
- Just you, your keyboard, and your passion for making data-driven impact!

Description
Welcome to"Data Science & EDA: Global Conflict Project from Scratch"

Master Data Science Skills, Analyze Global Conflicts, cluster & visualize real-world crisis data with Python & ChatGPT

This course empowers you to analyze real-world conflictdata, uncover hidden patterns, and create impactful visual stories that influence peacebuilding and policy decisions. Whether you're a beginner or an experienced analyst, you'll gain practical skills with hands-on projects using industry-standard tools.

In this course, you will dive deep intoExploratory Data Analysis(EDA) focused on complex global conflict datasets. You’ll learn how to clean, explore, visualize, and interpret data usingPython,Pandas,ChatGPTand key statistical methods to uncover trends and insights crucial for understanding humanitarian crises.

By the end of the course, you will confidently performEDAon messy real-world data, create interactive visualizations, apply clustering techniques, and build portfolio-ready projects that combine data science with social impact.

What You Will Learn:

This course takes you step-by-step through a hands-on EDA process using conflict datasets, covering:

Course introduction anddatasetloading

Understanding variables and data characteristics

Handling missing values, renaming, and ensuring consistency

Distribution and trend analysis over time and regions

Visualizing data correlations and regional death counts with bar and bubble charts

Identifying major conflict events and temporal death trends

Applying clustering using Elbow Method and Silhouette Scores

Advanced interactive visualizations with Plotly, including animated trends and heatmaps

In-depth statistical analysis: normality testing and outlier detection

By the End of This Course, You Will Be Able To:

Confidently apply Exploratory Data Analysis (EDA) techniques to complex, real-world conflict datasets

Create dynamic and interactive data visualizations using Plotly to reveal meaningful insights

Utilize clustering algorithms and statistical methods to identify underlying patterns in data

Develop comprehensive data science projects that combine technical expertise with social impact

Critically analyze data to understand and communicate the stories it tells about global conflicts

What is python?Machine learning pythonis a general-purpose, object-oriented, high-level programming language. Whether you work in artificial intelligence or finance or are pursuing a career in web development or data science,Python bootcampis one of the most important skills you can learn. Python's simple syntax is especially suited for desktop, web, and business applications. Python's design philosophy emphasizes readability and usability. Python was developed on the premise that there should be only one way (and preferably, one obvious way) to do things, a philosophy that resulted in a strict level of code standardization. The core programming language is quite small and the standard library is also large. In fact, Python's large library is one of its greatest benefits, providing different tools for programmers suited for a variety of tasks.

What is ChatGPT?

ChatGPTis anartificial intelligence(AI) chatbot that uses natural language processing to create humanlike conversational dialogue. The language model can respond to questions and compose various written content, including articles, social media posts, essays, code and emails.ChatGPT is a form of generative AI – a tool that lets users enter prompts to receive humanlike images, text or videos that are created by AI.

What is EDA?

Exploratory data analysis(EDA) is used by data scientists to analyze and investigate data sets and summarize their main characteristics, often employing data visualization methods.EDAhelps determine how best to manipulate data sources to get the answers you need, making it easier for data scientists to discover patterns, spot anomalies, test a hypothesis, or check assumptions.EDAis primarily used to see what data can reveal beyond the formal modeling or hypothesis testing task and provides a provides a better understanding of data set variables and the relationships between them. It can also help determine if the statistical techniques you are considering for data analysis are appropriate. Originally developed by American mathematician John Tukey in the 1970s, EDA techniques continue to be a widely used method in the data discovery process today.

Fresh content

It’s no secret how technology is advancing at a rapid rate New tools are released every day, and it’s crucial to stay on top of the latest knowledge for being a better security specialist

Video and Audio Production Quality

All our videos are created/produced ashigh-quality video and audioto provide you the best learning experience.

You will be,

Seeing clearly

Hearing clearly

Moving through the course without distractions

You'll also get:

Lifetime Access to The Course

Fast & Friendly Support in the Q&A section

Udemy Certificate of Completion Ready for Download

We offerfull support, answering any questions

See you in the ""Data Science & EDA: Global Conflict Project from Scratch"course.

Master Data Science Skills, Analyze Global Conflicts, cluster & visualize real-world crisis data with Python & ChatGPT

Who this course is for:
- Anyone who wants to start learning data science through meaningful, real-world applications
- Students, researchers, or professionals interested in conflict analysis, international relations, or peace studies
- Those seeking a hands-on guide to mastering Exploratory Data Analysis (EDA) with real datasets
- Anyone curious about how data can uncover patterns in global crises and shape data-driven decision making
- Learners who want to enhance their Python skills by working on impactful analytical projects
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