Given that this is a blog about my journey to becoming a data scientist, I found it apt to share on here my next step on this journey, which is that this fall I will be starting my Master of … Continue reading The University of Chicago: Master of Science in Analytics (MScA)
Getting Started with Python If you’re thinking about getting started with Python, this is the post for you. The truth is, before you can actually start coding in Python, there is some information and set up that you should know … Continue reading Introduction to Python Part 1
As a part of my data science journey, I have made it a point not only to learn the necessary programming skills but to also understand the industry, its applications, and more importantly, its consequences. One such consequence is the … Continue reading Data Bias in Society
Data has the power to do good, but data also has the power to do bad. We often forget that there are people are behind data. There are both people who control data and people who are represented by it. … Continue reading Data Feminism
Do you spend a lot of time writing the same code over and over again while working on your data science projects? Well, learning to turn your long chunks of code into a simple reusable function may be exactly what … Continue reading Creating a Function in R
Even in the time of COVID-19, Meetups are still happening virtually! Last week I tuned into Dataiku‘s talk on “Recommender Systems and Deep Models at Etsy” presented by Moumita Bhattacharya, Senior Data Scientist at Etsy. This was an introduction to … Continue reading Recommender Systems at Etsy
Last week, I attended a Dataiku screening of “Data Science Pioneers,” a documentary about data science and its role in our evolving technological society. The documentary brought to light many valid points regarding society’s perspective of data science, the field … Continue reading Data Science Pioneers: Conquering the Next Frontier
Freedom and Happiness This week I came across the World Happiness Report, an annual survey which represents 156 of the world’s countries and how happy the citizens of these countries perceive themselves to be. The report calculates positive and negative emotion based on six key explanatory factors: social support, freedom, corruption, generosity, GDP and life expectancy. I want to explore the correlation between freedom, the freedom to make life choices, and positive affect, the measure of positive emotion. More specifically, I want to see which countries have the happiest citizens and which countries do not based on the freedom that … Continue reading Exploratory Data Analysis: Covariation of Two Continuous Variables
As someone new to data science, I have recently been listening to data science podcasts with the hopes of familiarizing myself with data science jargon and just learning a thing or two. In one episode of Not So Standard Deviations, hosts Roger Peng and Hilary Parker discuss data science processes and how most of the time, there is no formal process to data analysis, and most data scientists just know what to do. This got me thinking about how to approach a data set for a project. Unless you’re handed a hypothesis to test, intuition and creativity really comes into … Continue reading Exploratory Data Analysis
On Thursday, I attended my first R-Ladies NYC meetup! R-Ladies NYC is an organization that promotes gender diversity amongst the R community by organizing a series of events (including this meetup) to support women who want to learn R or … Continue reading Data Science and Fantasy Baseball?
