Data Analysis Basics with Pandas and Python - For Beginners

Take First Step Toward Data Analysis With Pandas - Learn about DataFrames, Jupyter Notebook, iPython and Pandas Commands.

What you'll learn

Fundamentals of Data Analysis.
Working with Pandas, iPython, Jupyter Notebook.
Important Jupyter Notebook Commands.
Working with CSV, Excel, TXT, JSON Files and API Responses.
Working with DataFrames (Indexing, Slicing, Adding and Deleting).

Requirements

Basics of Python

Description

Welcome to Data Analysis Basics with Pandas and Python - For Beginners,
This course will help you to understand the fundamentals of Data Analysis with Python and Pandas library. You will learn,

1. Fundamentals of Data Analysis.

2. Working with Pandas, iPython, Jupyter Notebook.

3. Important Jupyter Notebook Commands.

4. Working with CSV, Excel, TXT, JSON Files and API Responses.

5. Working with DataFrames (Indexing, Slicing, Adding and Deleting).

Pandas is an open-source library providing high-performance, easy-to-use data structures and data analysis tools for Python. Pandas provide a powerful and comprehensive toolset for working with data, including tools for reading and writing diverse files, data cleaning and wrangling, analysis and modelling, and visualization. Fields with the widespread use of Pandas include data science, finance, neuroscience, economics, advertising, web analytics, statistics, social science, and many areas of engineering.

After completing this course you will have a good understanding of Pandas and will be ready to explore Data Analysis in-depth in future.

Who this course is for:

Python Programmers and Developers
Student interested in learning Pandas