Summary
Parisa Wang is a fashion brand aiming to create singular, luxurious handbags with accessible price points that women instinctively fall in love with.
This Digital Marketing Project I did with Parisa Wang includes three parts:
Summary
This Uber Analytics used two data sets from Uber. The first one contains variables about date, time, eyes, drivers, zeros, requests and completed. The second one contains variables about driver name, completed rides, accept rate, hours driven and rating. I did some analysis among these variables and found some insights to help improve Uber’s service.
The final part of this project is my opinion about Uber operations, it’s just my own ideas and hope this can give company some insights. Please see the following details.
I took the Coursera online courses about IBM Data Science.
There are two parts in this course.
The first one is using SQL doing DDL,DML,DCL. The second one is using SQL in Jupyter Notebook.
Background
Heart disease is the leading cause of death in the US, killing around 630,000 people in 2016 alone, according to the CDC. We found this data from the Cleveland Clinic Foundation and our goal was to analyze the data and develop a model that would accurately predict the presence of heart disease in patients using demographic and physical examination data. Accurately predicting heart disease could save hundreds of thousands of lives, which is why we find this research to be meaningful.
Summary
Used data from Google Analytics and Tableau to do some analysis about several factors like seasons, customer categories, states, etc. that influenced the sales performance of Google Store. Then use Pivot Table to visualize the data.
I'm using Google Analytics to analyze my own website. Just the one you are looking at right now! I can see the Real-time, Audience, Acquisition, Behavior and Conversion of my website. Because I just started using it, I still need more time to gather data and do analysis.
To be continued...