DSC Webinar Series: Top 4 Excel Functions Done Better with Data Wrangling
Analysts have relied on Excel for decades, but as the size, variety, and pace of data accelerates, certain Excel functionality has begun to feel archaic. Today’s da...
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Exploring Kaggle Titanic data with R Packages naniar and UpSetR
Recently (6/8/2018), I saw a post about a new R package “naniar”, which according to the package documentation, “provides data structures and functions ...
Is it still possible today to become a self-taught data scientist?
If you are an engineer working for a company like Boeing, have processed and leveraged data extensively over years of professional experience, used data science tools and...
Lessons from 3 Big Data Breaches of 2017
In 2017, cyber-attacks invaded the privacy of millions, grabbing headlines as established firms struggled to keep the noise down. Interestingly, these breaches had a comm...
List of Must – Read Free Data Science Books
Data science is an inter-disciplinary field which contains methods and techniques from fields like statistics, machine learning, Bayesian etc. They all aim to generate sp...
Sample Projects for Data Scientists in Training
Here is a list of potential projects to help you complete your master in data science or in a related field. Project #8: Detecting fake reviews on Amazon Business and A...
5 Best Practices for Email Data Analysis
Data analytics is a red-hot field in terms of growth and popularity, but there’s a relatively new segment of the field that’s starting to catch fire: Email analytics....
Adding Program Evaluation to the Data Science Curriculum
We tried to do XYZ. Did it make a difference?” Whether you are in the for-profit world or the not-for profit world, this is a very basic question that many people try t...
Data Science Simplified Part 11: Logistic Regression
In the last blog post of this series, we discussed classifiers. The categories of classifiers and how they are evaluated were discussed. We have also discussed regressi...
Simple questions to measure the ability of a data scientist
Sometimes a recruiter will find difficult to know the skills of a data science before hiring. Here are some simple questions to measure the ability of a data science: 1) ...