Data Wrangling with Python 3.x
Extract, transform, and load data for effective data analysis
Created by Jamshaid Sohail
Explore practical techniques for gathering, cleaning, and transforming data using Python. Learn how to work with various data sources, perform statistical analysis, and create clear visualizations to support data-driven decisions. Build confidence in handling real-world datasets and solving analytical problems.
Packt | Jan 2019 | 215 min
What You Will Learn
You will work hands-on with real-world datasets, using Python tools and libraries to extract, clean, and analyze information. Each concept is introduced with a clear explanation, followed by practical coding exercises. You'll see immediate results as you apply techniques to real data, building skills step by step.
Key Features
- Collect and process data from web, CSV, JSON, Excel, and PDF sources
- Clean, transform, and analyze data to uncover valuable insights
- Visualize data clearly using Python libraries for better decision making
Target Audience
Ideal for Python developers, data analysts, and IT professionals ready to expand into data science. If you have basic Python skills and want to handle data more effectively in your projects, this course will help you gain practical experience and confidence in data wrangling and analysis.
