Capstone projects of the IBM Data Analyst Professional

Analyzing Data with Python

an extendable library for recording and analyzing data

This repository contains code for processing and analyzing data from the responsive neurostimulation (RNS) device by NeuroPace.

Exploring Student Enrollments and Completions in Data-Related Career Tracks

Web app for tracking, analyzing and visualizing data for CSGO matches played on the scrim service PopFlash

Explore the journey of data wrangling and analysis in the WeRateDogs project. Using Python, gather, assess, and clean data from the Twitter archive of @dog_rates. Unveil insights through visualizations and uncover trends like decreasing retweets over time. For details, refer to wrangle_act.ipynb and wrangle_report.pdf.

Analyzing sales data using Power BI for comprehensive insights and data-driven decision-making.

Dig into a real-world Netflix movie dataset using everything from lists and loops to pandas and matplotlib

A RESULT DATA SCRAPPER AND ANALYZER with CAPTCHA SOLVER using tesseract-OCR, PANDAS dataframe and automation in SELENIUM.

Students find numerical solutions to a first order ordinary differential equation (ODE) model of glucose-insulin system using Euler’s method and least squares in MATLAB.

Students model air quality dispersion using the “openair” package in R, analyze air quality datasets in Germany, and make recommendations based on their findings.

Python Data Analysis Projects: Amazon, Netflix, Google Apps, Airbnb, Uber ..

Students learn basic functional R commands/procedures whilst tying in key statistical content. Repository for ENGS93 text files

Capstone projects of the IBM Data Analyst Professional

Program offered by IBM on learning to develop SW in Python, geared towards Data Science.

This project focuses on analyzing mental health data collected from students and tech employees. The primary goal is to apply data wrangling techniques to gather, assess, and clean datasets, followed by answering key research questions through visualizations and analysis.

Tableau Visualizations

Reads data from an input file ( expl.txt), converts text to uppercase and extracts it into a new file (output file)

Students collect and analyze solar incidence angles over time to evaluate their own hypotheses, coupling this with the additional data analysis in Excel to draw conclusions about environmental change.