Python for Data Analysis & Automation: A Practical Guide for Beginners
Busayo EzekielThis beginner-friendly video course is designed to equip you with the essential Python skills for data analysis and automation. Whether you're a student, professional, or entrepreneur, you'll learn how to manipulate data, visualize data, and extract insights using Python.
Throughout the video course, you'll explore key libraries like Pandas, Matplotlib, and Seaborn, mastering techniques for data analysis and visualization.
By the end of the course, you'll be able to analyze CSV file, create and read CSV file, and streamline your work with Python efficiently.
Key Learning Outcomes:
✅ Understand Python fundamentals for data analysis
✅ Work with Pandas for data manipulation and analysis
✅ Create visualizations with Matplotlib & Seaborn
✅ Handle CSV files with Pandas
✅ Apply automation techniques in real-world scenarios
No prior coding experience is required, just a willingness to learn! Start your journey into Python-driven data analysis and automation today.
"Python for Data Analysis & Automation: A Practical Guide for Beginners" suggests that the video course is a hands-on introduction to using Python for processing, analyzing, and automating data-related tasks. It likely covers key Python libraries such as Pandas, and Matplotlib while focusing on real-world applications for beginners. The book aims to make data analysis and automation accessible through step-by-step guidance and practical examples.