Python for Data Analysis

Course Description

Unlock the power of Python to clean, transform, analyze, and visualize data. This course equips you with the essential skills to work with structured and unstructured data, automate workflows, and generate insights that drive smarter decisions. You’ll learn hands-on with real datasets and leave with practical coding experience for data-driven projects. 📌 Key Skills: •Python essentials for data analysis (syntax, data types, loops, functions) •Data wrangling and cleaning with Pandas (handling missing values, merging, reshaping data) •Numerical computing with NumPy (arrays, vectorization, mathematical operations) •Data visualization with Matplotlib and Seaborn (charts, plots, styling) •Exploratory Data Analysis (EDA) for discovering trends and patterns •Working with external data sources (CSV, Excel, SQL databases, APIs) •Automating reporting and exporting clean results (Excel, PDF, CSV) •Best practices for reproducible and efficient Python code 📂 4 Practical Projects ⏱ Duration: 14 Hours