01
Series and DataFrames
Data Analysis
Pandas.
Working with structured datasets using DataFrames, data cleaning and analysis.
Pd
01 / OVERVIEW
Understanding Pandas
A brief introduction to the technology and its role in development.
01
What is Pandas?
Pandas is a Python library for data manipulation and analysis.
02 / LEARNING
What I've learned
The concepts and fundamentals I have explored while learning Pandas.
02
Reading CSV and Excel files
03
Filtering and sorting
04
Handling missing values
05
Grouping and aggregation
06
Data cleaning
03 / KNOWLEDGE
Topics I've explored
An overview of the major areas covered in my learning journey.
TOPIC 01
Series and DataFrames
Exploring series and dataframes as part of my Pandas learning journey.
TOPIC 02
Data Import
Exploring data import as part of my Pandas learning journey.
TOPIC 03
Data Cleaning
Exploring data cleaning as part of my Pandas learning journey.
TOPIC 04
Filtering
Exploring filtering as part of my Pandas learning journey.
TOPIC 05
Grouping
Exploring grouping as part of my Pandas learning journey.
TOPIC 06
Aggregation
Exploring aggregation as part of my Pandas learning journey.
04 / PRACTICAL EXPERIENCE
Projects using Pandas.
A collection of projects where I've explored and applied Pandas.
Bizboy
Data Analysis/ WEB
Prototype
Bizboy
An business analytics web application developed with a focus on sales or summary of product management, shopping workflows and trends , market tracking.
HTML
CSS
JavaScript
Flask
ML
MySQL
Pandas
Plotly
Explore project ↗
Debugger / Extension
Prototype
BUGLENS
An AI-Debugger Extention developed with a focus on of error management with mutiple languages.
HTML
CSS
JavaScript
Flask
ML
Pandas
Excel
Explore project ↗
Data Analysis
Completed
Netflix Dataset Analysis
A data analysis project focused on exploring the Netflix dataset and generating visual insights.
Python
Pandas
Matplotlib
Explore project ↗