Cleaning NBA Stats: Part 3
We collected the data we’ll be cleaning through web scraping in part 1 and part 2 of this series. We have 3 datasets overall which we will finally combine into one by the end of this section.
Read Article →Technical Articles
Tutorials, guides, and career advice.
Web Scraping NBA Stats: Part 2
In part 1 of this series, we extracted data of all players who have won the MVP award from 1991 to 2021. If you would like to follow along and missed out on part 1 of this series, click here.
Read Article →Data Wrangling vs EDA vs ETL
Data wrangling and EDA are both concerned with preparing data for analysis, but they differ in terms of their focus and scope. These processes can overlap and be used together in different ways depending on the needs and goals of a particular project.
Read Article →Web Scraping NBA Stats: Part 1
The ultimate goal of this project is to predict the MVP for 2022. I scraped the data from this website. I'll provide a list of links to all of the pages I'll scrape from to make it easier for you to follow along. The project is also on my GitHub page.
Read Article →6 Rules for Passing Any Job Interview
I recently just completed my first degree, a Bachelor’s in Information Technology with a major in data analysis. I have been doing projects to perfect my skills and learning as much as possible about the interview process.
Read Article →The Data Analysis Process
As an intermediate~ish data analyst, I finally feel like I have the confidence to share something valuable with aspiring data analysts like me. So today we will start with the basics; the data analyst process.
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