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Sharing practical insights into solving real-world data science problems using Pandas library and Python programming language.
(PYTHON-PANDAS.AP1) / ISBN : 978-1-64459-413-1This course, Pandas for Everyone: Python Data Analysis, teaches how to tackle real-world data analysis problems using the popular Pandas library. You'll begin with the fundamentals, learning how to load data sets, explore their structure, and create basic visualizations. As you progress, you'll explore data manipulation techniques and be introduced to powerful data cleaning and transformation tools. Finally, the course will briefly introduce you to the broader Python data science ecosystem, touching on tools like scikit-learn for machine learning and visualization libraries like Seaborn.
47+ Interactive Lessons | 100+ Exercises | 90+ Quizzes | 109+ Flashcards | 109+ Glossary of terms
50+ Pre Assessment Questions | 50+ Post Assessment Questions |
30+ LiveLab | 20+ Video tutorials | 43+ Minutes
Still have unanswered questions and need to get in touch?
Contact Us NowPandas in Python are a powerful open-source library for data analysis. It offers data structures like DataFrames and tools to manipulate, clean, and visualize that data.
Yes, Python is excellent for data analysis. It's easy to learn, has versatile libraries (like Pandas), and a large, supportive community. Python's flexibility makes it useful for various data science tasks.
While some basic programming experience can be helpful, this course is designed to be accessible for beginners. We'll start with the fundamentals of Python and Pandas, gradually building your skills throughout the course.