# My Learning

## Tableau Dashboard for Visa Wages by State

View Dashboard on Tableau More Tableau! This uses data taken from OFCL website. I created a dashboard that allows the user to filter through selected states and see the median salary rates depending on role.

## Empower your data tools kit with power bi

I recently decided to focus on a particular dataset I was using for a previous project pertaining to penguins, dataset can be found in this GitHub Repo, and decided I want to take my dataset and try it with Tableau and Power BI. I think both offer some interesting benefits and have strengths and weaknesses. … Continue reading Empower your data tools kit with power bi

## K-Means Clustering for Data Science

K-clustering, also known as k-means clustering, is a popular unsupervised machine learning algorithm used for partitioning a set of data points into K distinct, non-overlapping clusters. In this context, "K" represents the number of clusters the algorithm should create, and it is typically specified by the user before running the algorithm. Photo by Google DeepMind … Continue reading K-Means Clustering for Data Science

## Bayes’ Theorem: A Deep Dive into Statistics

So, I pondered various ways to introduce the concept of statistics, which I'm currently delving into along side Data Science concepts. Here is my current repo where I explore different statistical methods for working with datasets in Python: View Repo on GitHub. However, I was afraid that listing out the benefits of statistics might be … Continue reading Bayes’ Theorem: A Deep Dive into Statistics

## Working with Tableau (Data Visualization)

In today's data-driven world, making sense of large amounts of information can be a daunting task. Whether you're a student, a researcher, or a business professional, being able to understand and interpret data is crucial. This is where Tableau comes into play – a helpful visualization tool that simplifies data analysis and makes complex information … Continue reading Working with Tableau (Data Visualization)

## Data Science: Input Validation

Input validation in data science ensures accurate and reliable analysis. Learn how it catches errors, prevents biases, and improves decision-making.