In this study, we used data extracted from meta ads library for the duration between March 11th, 2021
and August 12th, 2023 to analyze their activity on both Facebook and Instagram. The main objective of this
study is to quantify the RNI digital strategy while also identifying any existing trends. To achieve that goal,
we used Python's Pandas module on a Jupyter notebook for data manipulation and analysis. As for data visualization,
we created a number of charts using Microsoft's Power BI.
This project is a case study of “Cyclistic”, a fictional bike-share company. The goal behind this case study is to use the data analysis process
as a tool to answer the following business question. We performed the analysis on the data related to usage of a bike-share app over a period
of 14 months using MySQL, Google sheets, and Tableau.
In this project, we used the R language to describe the process we used to analyze this marketing budget dataset in order to detect trends and identify
how does the amount of each budget affect the sales, then visualize the results.
For this project, we used multiple techniques and functions to organize and clean dirty data.
For this project, we used SQL on google cloud's program BigQuery to perform a variety of calculations on the covid dataset.