My work for the nine courses in Harvard's data science program, each with notes/assignments. Work in progress.

World Happiness Analysis

Udacity Data Analyst Nano Degree Program Capstone Projects

EEG Signal Cleaning Pipeline Management (EEGLAB-based)

Wrangling twitter account- The fourth project on Data analysis program with Udacity.

This Roller Coaster project is meant to create several data visualizations that will give insight into the world of roller coasters.

A community hub for developers mastering AI collaboration—taming hallucinations, sharpening prompts, and turning chaos into clean code.

Workflow creation and visualization by using Trifacta

Analysis of WeRateDogs twitter archive

Here we are working with the UBER ride sharing dataset of Victoria, Australia. We will load the given datasets: dirty_data.csv, outliers.csv, missing_values.csv , edges.csv, nodes.csv and we will try to do some data wrangling & EDA to find different types of errors (Syntactic/Semantic) and understand the data, also we will try to analyse and fin…

Data Wrangling which involves gathering, assessing and cleaning of data from a different sources e.g twitter account. It is part of the requirements for the Udacity Data Analyst Nanodegree Program.

Data cleaning processes for the RCCE assessment

Wrangled, Analyze and cleaned data gotten from 3 sources using requests os, twitter api and merging to produce a master set

theRISEN

Use Python to perform Data Wrangling (gathering, assessing, cleaning) of WeRateDogs Twitter account & archive, followed by storing, analyzing and visualizing the wrangled data.

The dataset for this project is the tweet archive of Twitter user @dog_rates, also known as WeRateDogs. WeRateDogs is a Twitter account that rates people's dogs with a humorous comment about the dog. This dataset was carefully analysed to find meaninful insights.