Learning to apply sound design and data visualization principles to the data analysis process. Also learning how to use analysis and visualizations to tell a story with data.

💹📈Investigating the oils market prices in addition to the stock market prices between the start of 2001 to the end of 2023. 💰📉

🔫 The data comes from the FBI's National Instant Criminal Background Check System. The NICS is used by to determine whether a prospective buyer is eligible to buy firearms or explosives. 🔫

In this advanced course, Learning the three phases of data wrangling: gathering, assessing, and cleaning data.

Investigating Movies Dataset contains information about 10,000+ movies collected from The Movie Database (TMDb)

Learning the data analysis process of questioning, wrangling, exploring, analyzing, and communicating data. Working with data in Python using libraries like NumPy and pandas.

This is a data analysis project where twitter data for WeRateDogs account was wrangled, analyzed and summarized to conclude interesting insights and findings. It's a part of my Udacity Data Analyst Nanodegree projects, and it was successfully accepted from the first submission.

Udacity Nanodegree Program, a data analysis project using the Pisa2012 dataset.

Udemy Course Data Analysis Explore the world of online learning with the Udemy Course Data Analysis project. Dive into the depths of Udemy's vast collection of courses to uncover insights about course prices, popularity, and more. Leveraging Python and data visualization techniques, this project provides a comprehensive overview of Udemy's course o

Working to understand the results of an A/B test run by an e-commerce website.

Udacity nanodegree projects: DLND, DRLND, DAND

Final project for the Udacity's Data Analyst Nanodegree program

Repository of projects completed in fulfillment of the requirements of Udacity's Data Analyst Nanodegree Program.

Repository for the projects needed to complete the Data Analyst Nanodegree

This is the 3rd project in the Udacity Data Analyst Nanodegree program he data consists of information regarding 183,000 rides made in a bike-sharing system covering the greater San Francisco Bay area.

I wrangled and analyzed the WeRateDogs (@dog_rates) Twitter data

Udacity project: gathering and cleaning data from the tweet archive of a Twitter user that rates dogs and analyzing to derive insights

Udacity-DataAnalystND-P3-Communicate-Data-Findings Choose a dataset, either your own or a Udacity-curated dataset, and perform an exploratory data analysis using Python. Then, create a presentation with explanatory plots that conveys your findings.

Udacity-DataAnalystND-P2-Wrangle-and-Analyze-Data The dataset that you will be wrangling (and analyzing and visualizing) is the tweet archive of Twitter user @dog_rates, also known as WeRateDogs.

Udacity-DataAnalystND-P1-Investigate-a-Dataset TMDb movie data This data set contains information about 10,000 movies collected from The Movie Database (TMDb), including user ratings and revenue. In this project, I will analyze a dataset and then communicate findings about it. I will use the Python libraries NumPy, pandas, and Matplotlib.