Data Manipulation in Python: Master Python, Numpy & Pandas
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Data Manipulation in Python: Master Python, Numpy & Pandas at UDEMY Overview
Duration | 2 hours |
Total fee | ₹455 |
Mode of learning | Online |
Credential | Certificate |
Data Manipulation in Python: Master Python, Numpy & Pandas at UDEMY Highlights
- Earn a certificate from Udemy
- Get a 30 day money back guarantee
- Learn from 1 article and 4 downloadable resources
- Students will get full lifetime access of the course
Data Manipulation in Python: Master Python, Numpy & Pandas at UDEMY Course details
- Learn to use Pandas for Data Analysis
- Learn to work with numerical data in Python
- Learn statistics and math with Python
- Learn how to code in Jupyter Notebook
- Learn how to install packages in Python
- The goal is to equip students with all the tools and skills hey need to master Python, Numpy & Pandas
Data Manipulation in Python: Master Python, Numpy & Pandas at UDEMY Curriculum
Python Quick Refresher
Course Materials
Setting up Python
What is Jupyter?
How to implement Python in Jupyter?
Managing Directories in Jupyter Notebook
Input/Output
Quiz 1
Working with different datatypes
Variables
Installing Libraries
Importing Libraries
Pandas Library for Data Science
NumPy Library for Data Science
Pandas vs NumPy
Matplotlib Library for Data Science
Seaborn Library for Data Science
Introduction to NumPy arrays
Creating NumPy arrays
Quiz 15
Indexing NumPy arrays
Quiz 16
1 question
Array shape
Iterating Over NumPy Arrays
Basic NumPy arrays: zeros()
Basic NumPy arrays: ones()
Basic NumPy arrays: full()
Quiz 17
1 question
Adding a scalar
What is a Python Pandas Series?
DataFrame vs Series
Creating a DataFrame using lists
Creating a DataFrame using a dictionary
Changing the Index Column
Inplace
Examining the DataFrame: Head & Tail
Statistical summary of the DataFrame
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