Skip to content
/ Data-Analysis-with-Python---Coursera Public

This repository contains Python code and exercises from the "Data Analysis with Python" course on Coursera. It covers data cleaning, exploratory data analysis, statistical methods, and visualization using Pandas, NumPy, Matplotlib, and Seaborn. Explore the code and insights!

www.coursera.org/learn/data-analysis-with-python/lecture/9jjm3/getting-started-analyzing-data-in-python
0 stars 0 forks Branches Tags Activity
Star
Notifications You must be signed in to change notification settings

PuspaCempaka/Data-Analysis-with-Python---Coursera

BranchesTags

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

19 Commits
Data Analysis - Correlation
Data Analysis - Correlation
 
 
Data Analysis - Create Box Plot
Data Analysis - Create Box Plot
 
 
Data Analysis - Descriptive Statistics
Data Analysis - Descriptive Statistics
 
 
Data Analysis - Scatter Plot
Data Analysis - Scatter Plot
 
 
Data Analysis - Scatter Plot with Trend
Data Analysis - Scatter Plot with Trend
 
 
Data Wrangling - Check Missing value
Data Wrangling - Check Missing value
 
 
Data Wrangling - Counting Missing Value
Data Wrangling - Counting Missing Value
 
 
Data Wrangling - Create Binning
Data Wrangling - Create Binning
 
 
Data Wrangling - Data Standarization
Data Wrangling - Data Standarization
 
 
Data Wrangling - Drop the Missing Value
Data Wrangling - Drop the Missing Value
 
 
Data Wrangling - Indicator Variable
Data Wrangling - Indicator Variable
 
 
Data Wrangling - Normalization
Data Wrangling - Normalization
 
 
Data Wrangling - Replace with Frequent Occuring data
Data Wrangling - Replace with Frequent Occuring data
 
 
Data Wrangling - Replace with Mean
Data Wrangling - Replace with Mean
 
 
Import Data - CSV File without Header
Import Data - CSV File without Header
 
 
Import Data - DB API
Import Data - DB API
 
 

About

This repository contains Python code and exercises from the "Data Analysis with Python" course on Coursera. It covers data cleaning, exploratory data analysis, statistical methods, and visualization using Pandas, NumPy, Matplotlib, and Seaborn. Explore the code and insights!

www.coursera.org/learn/data-analysis-with-python/lecture/9jjM3/getting-started-analyzing-data-in-python

Topics

data-science data-analytics python-syntax import-csv-data
Activity

Stars

0 stars

Watchers

1 watching

Forks

0 forks
Report repository

Releases

No releases published

Packages

No packages published