To kickstart your career as a data scientist, there are several highly recommended books that cover a range of foundational topics and skills in the field. Here’s a curated list based on recent recommendations: Each of these books addresses different aspects of data science, from the technical skills required in Python and R programming to… Read More »
Introduction This guide is meant to help you either start or go even further in your journey of becoming a data analyst. The best part? You can get many free learning tools and using AI help like ChatGPT makes it much easier to learn new things. Step 1: Learn Essential Data Analyst Skills Embark on… Read More »
As we enter 2024, the world of data science keeps changing quickly. For those who want to enter this exciting field, the journey to becoming a data scientist is both challenging and rewarding. In this guide, we’ll look at a structured approach to be a data scientist in 2024. We will pay special attention to… Read More »
Preparing for different types of data science business cases is crucial for a well-rounded understanding and effective performance in interviews. Here are some common categories you should focus on: Each of these categories requires a unique blend of data science skills and business understanding. It’s beneficial to practice a range of cases to be prepared… Read More »
📢 Attention Data Science Enthusiasts! 🌐 I recently came across an exceptional book that I believe is a game-changer for anyone interested in data science: “From Zero to Data Hero with ChatGPT.” 📘 About the Book: This book is a comprehensive guide, perfect for both beginners and those looking to deepen their understanding of data… Read More »
We know that discretizing or binning the continuous variables in modeling is almost always a bad idea. We lose information that contains in a continuous variable after discretizing it. However, we may not realize that it can be misleading if we extract insights after binning the continuous variable the wrong way. To illustrate this point,… Read More »
One of my previous posts introduced effective data exploration methods. This post will introduce some great R packages for exploratory data analysis. We will still use the same customer churn data for demonstration purposes. The first package is the DataExplorer package. The package is extremely easy to use. Almost everything could be done in one… Read More »
Maximizing the marketing campaign’s incremental impact is more important than ever during this challenging time. We want to get the maximum return out of the marketing dollars spent. Therefore, we need to target people who are ONLY likely to buy if they are included in a campaign. Targeting people who are going to buy anyways… Read More »
There are many situations that we will need to forecast something in business, either the demand or sales, supply or inventory. Fortunately, we have many tools that have made it easy to generate decent forecast very quickly. R has several packages that provide automated forecasting with a couple lines of code needed. In this post,… Read More »
As we’ve seen from the previous post that the target variable Churn is imbalanced. We have about 27% churn records in the Telco Customer Churn data. It is not a highly imbalanced dataset. I typically would deal with the imbalance issue if the minority class is 10% or less. But want to use this data… Read More »