Data Science for Beginner

Course Overview

This beginner-friendly course introduces you to the exciting world of Data Science. You’ll learn the fundamentals of data handling, analysis, visualization, and basic machine learning concepts—all explained in simple, practical ways. No prior coding or math background required!

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Course Modules

Module 1: Introduction to Data Science

• What is Data Science and why it matters

• Real-world applications of data science

• Tools used in the industry (Python, Excel, SQL, etc.)

Module 2: Basics of Data Handling

• Understanding datasets (rows, columns, features, labels)

• Data collection methods

• Cleaning and organizing data

Module 3: Data Analysis with Python

• Introduction to Python for data science

• Using libraries like Pandas and NumPy

• Performing simple data analysis

Module 4: Data Visualization

• Importance of visualizing data

• Creating charts and graphs (Matplotlib, Seaborn)

• Making insights easy to understand

Module 5: Introduction to Machine Learning

• What is Machine Learning?

• Types of ML (Supervised vs. Unsupervised)

• Hands-on example: Predicting simple outcomes

Module 6: Real-Life Mini Project

• Step-by-step project: Analyze a dataset and present insights

• Showcase results with visualizations

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What You’ll Gain

✅ Strong foundation in data science concepts
✅ Ability to analyze and visualize data
✅ Hands-on practice with Python tools
✅ Confidence to take advanced data science courses