About This Course
The Data Analysis Using Python course is designed to provide participants with practical data analysis skills using one of the world’s most popular programming languages for data science. Learners will develop the ability to collect, clean, transform, analyze, visualize, and interpret data using Python libraries such as Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn. Through hands-on exercises, real-world datasets, and a capstone project, participants will gain the skills required to extract valuable insights, build predictive models, and support data-driven decision-making across business and research environments.
Data Analysis Skills
Learn how to clean, transform, analyze, and interpret data using Python.
Data Visualization
Create professional visualizations using Matplotlib and Seaborn to communicate insights effectively.
Data Processing
Work with large datasets using Pandas and NumPy for efficient data manipulation and analysis.
Predictive Analytics
Apply machine learning techniques using Scikit-learn to identify patterns and make predictions.
Course Curriculum
• What is Data Analysis?
• Python for Data Analysis
• Python Environment Setup
• Pandas Overview
• NumPy Fundamentals
• Matplotlib & Seaborn Introduction
• Python Variables
• Data Types
• Loops & Conditions
• Functions & Modules
• Lists & Tuples
• Dictionaries & Sets
• Pandas DataFrames
• Data Import & Export
• Handling Missing Values
• Managing Outliers
• Data Transformation
• Data Aggregation & Merging
• Matplotlib Fundamentals
• Seaborn Visualizations
• Bar Charts
• Line Graphs
• Scatter Plots
• Histogram Creation
• Statistical Analysis
• Correlation Analysis
• Regression Techniques
• Time Series Analysis
• Clustering Models
• Classification with Scikit-learn
• Web Scraping Fundamentals
• Requests Library
• Beautiful Soup
• Selenium Automation
• Data Extraction
• Data Storage with Pandas
• Capstone Project Planning
• Real-World Data Analysis
• Data Visualization Project
• Insight Generation
• Results Presentation
• Project Review & Feedback
Skills You'll Gain
Develop practical skills that can be applied immediately in real-world trading scenarios.
Registration & Pricing
Everything you need to know before enrolling.
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Course Features
- Lectures 0
- Quizzes 0
- Duration 60 hours
- Skill level All levels
- Language English
- Students 10
- Assessments Yes







