This assignment was part of IBM's Data Analysis with R course. It focused on the analysis of weather data at JFK airport for the purpose of exploring the relationship between various factors such as wind speed, humidity, station pressure and temperature in order to understand their correlation with precipitation. The goal for the assignment is to provide a detailed analysis of weather conditions through the use of visualizations such as histograms and scatter plots. Metrics such as MSE (Mean Square Error) and R-Squared were used to compare the final charts to determine the best chart for the data.

This final course assignment was part of IBM's SQL for Data Science with R course. The course covered the key skills relating to creating tables on relational databases, loading tables from online sources using R and then analyzing the data using SQL commands. Technical Skills Covered: 1. Loading RODBC. 2. Establishing a connection to an existing cloud database using Jupyter Notebook. 3. Using RODBC to create tables in the cloud database. 4. Creating dataframes by reading data from provided url's. 5. Loading data from dataframes into the database's tables. 6. Using RODBC run SQL queries to answer a set of test questions.

This final assignment for IBM's Introduction to R Programming for Data Science/ The course focuses on key skills learned during the course which include: web scraping data from online sources, loading data into data frames, cleaning and analyzing data to answer specific questions related to nations' COVID data collected during the course of the pandemic.

This end of course assignment focuses on exercising key skills covered in the Google Data Analytics which include the key steps of Data analysis: - Defining the Question. - Data Collection. - Data Cleaning - Analyzing and Visualizing the data. - Sharing your results. This assignment features a case study that analyzes a smart fitness device's user data in order to understand the user's exercise habits. The goal of this assignment is to present findings to the stakeholders in the form of recommendations and potential improvements to the fitness product that may improve future sales.