Hi there! 🙋🏻♀️
Welcome to my Portfolio Guide where I provide a walkthrough to all of my data analytics projects and courses.
Feel free to chat with me on LinkedIn about my projects!
Katie's note: Click on the project's title (bold and coloured in Blue) to view my projects! Thank you!
I compiled a comprehensive list of free SQL resources ranging from YouTube videos, courses, interactive websites, practice sites, and projects.
Click here to view the post on LinkedIn!
After receiving several messages asking for tips on how to create a GitHub portfolio, I decided to create a step-by-step tutorial with images to teach beginners to set up their portfolio.
What you will learn in my guide:
- How to Create Your Profile?
- How to Customize Markdown files?
- How to Create New Repository?
[In progress]
A series of SQL case studies where I perform Data Cleaning and Data Transformation and solve business analytics questions using SQL.
- #1 Danny's Diner
- #2 Pizza Runner
- #3 Foodie-Fi
- #4 Data Bank
- #5 Data Mart
- #6 Clique Bait
- #8 Fresh Segments
Skills Learnt: Aggregations, Joins, CTEs, Window functions (aggregates, ranking, running total, partitioned averages), CASE WHEN statements, subqueries, nested subqueries, DATETIME functions, data type conversion, text and string manipulation
Skills Learnt:
- Create temporary tables.
- Aggregations, Joins, CTEs, Window functions (summary statistics: mode, median)
[Ongoing]
A project close to 🏡 home. I was inspired by Alex Freberg's Data Exploration Project on YouTube and decided to branch out on his analysis to cover the impact on my country's stock market as well.
I analysed global and local Covid-19 cases & how it has impacted the stock market index prices from Jan 2020 to July 2021 using SQL and Tableau.
I used Python for data cleaning and wrangling. I removed rows with missing values, cleaned numerical columns and cast as float, and exploded "investors" column for further analysis.
Then, I visualised the following metrics using Tableau.
- COUNTRY with largest valuations
- Most SUCCESSFUL unicorns
- INDUSTRIES with highest average valuations
- INVESTORS with largest combined valuations
- YEARS taken to be unicorn
[In progress]
Analysing more than 10,000 TMDb movies and getting the answers to - Which actor(s) is associated with higher revenue and profit, Does a higher budget constitute to a higher profit, and Which director produced the highest grossing movie?
⛽️ Fuel Economy
Analysis on vehicles’ fuel economy in 2008 and 2018 to understand usage of alternative sources of fuel, changes in greenhouse gas and smog ratings over the decade, and vehicle features associated with better fuel economy. (It's more interesting than the summary sounds, I promise!)
A study on red and white wine samples and understanding whether certain types of wine and their qualities (alcohol level, sugar content and acidity level) are associated with higher wine quality.
In this time-series analysis, I use moving average method to analyze local and global temperature data and compare the temperature trends where I live to overall global temperature trends.
Analysis of sales data to find out highest revenue and profit product categories and top customer segments.
This is a special project for me as it is my ✨first✨ foray into data analytics.
Discovered insights into whether users are using the FitBit app for tracking health habits, their frequency of usage across the week and whether there is correlation between the hours logged, number of steps taken and calories burnt
A series of guided and unguided projects developed by DataCamp.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent