Python for Data Analysis Course

Course Overview

Dive into the world of data analysis with Python. This beginner-friendly course will teach you how to manipulate, analyze, and visualize data using Python's powerful libraries. Whether you're transitioning from Excel or starting fresh, you'll gain the skills to turn raw data into meaningful insights.

Tools & Libraries Covered

Python

Core programming language

Pandas

Data manipulation & analysis

NumPy

Numerical computing

Matplotlib

Data visualization

Seaborn

Statistical visualization

Jupyter

Interactive notebooks

What You'll Learn

Data Fundamentals

• Data types and structures
• Importing and cleaning data
• Data manipulation techniques
• Handling missing values

Analysis & Visualization

• Exploratory data analysis
• Statistical analysis
• Creating charts and graphs
• Advanced visualization techniques

Real-World Datasets

E-commerce Sales Data

Analyze customer purchasing patterns, sales trends, and product performance metrics.

Financial Market Data

Work with stock prices, trading volumes, and economic indicators for time series analysis.

Social Media Analytics

Examine user engagement, sentiment analysis, and content performance data.

Prerequisites

This course is designed for beginners, but you'll get the most out of it if you have:

• Basic computer skills
• Familiarity with spreadsheets (Excel or Google Sheets)
• No prior programming experience required