What you'll learn
- Build a Solid Foundation in Data Analysis with Python
- You will be able to work with the Pandas Data Structures: Series, DataFrame and Index Objects
- Learn hundreds of methods and attributes across numerous pandas objects
- You will be able to analyze a large and messy data files
- You can prepare real world messy data files for AI and ML
- Manipulate data quickly and efficiently
- You will learn almost all the Pandas basics necessary to become a 'Data Analyst'
Requirements
- Students must be willing to learn the Data Analysis with Python language
- If you know basics of Python that is well and good
- Basic Or intermediate experience with Microsoft Excel or another spreadsheet software, but not necessary
- Basic knowledge of data types (strings, integers, floating points, Booleans) etc, but not necessary
- Basic Programming knowledge Or knowing any other programming languages will also helps
Who this course is for:
- Beginner Python developers - Curious to learn about Data Science Or Data Analysis
- Data Analysis Beginners
- Aspiring data scientists who want to add Python to their tool arsenal
- Students and Other Professionals
- AI and ML aspirants to upgrade their knowledge in Data Preprocessing before applying the machine learning algorithms to their projects
- Data Analyst job seekers who wants to update their Resume with Python's data analysis toolkit
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