This rubric covers the use of statistical tools working on large datasets to create models and derive inferences, as well as coverage of the field in its entirety. This differs from machine learning primarily in that the latter focuses on functional gradient analysis or neural networks (kernels) to derive models.
To extract data from websites, you can take advantage of data extraction tools like Octoparse. These tools can pull data from websites automatically and save… Read More »Extract Data from Website to Excel Automatically
Inference In a previous blog (The difference between statistics and data science), I discussed the significance of statistical inference. In this section, we expand on… Read More »An introduction to Statistical Inference and Hypothesis testing
If you’ve been keeping up on the statistics for Covid-19 in the last week (and who hasn’t?), you’ve probably noticed a wide variety of projections… Read More »Statistical Uncertainty: Why are Covid-19 Figures so Varied?
With the onset of the COVID-19 outbreak, we look at the data and use a simple model inspired by China’s example to predict when the… Read More »COVID-19 Forecast: China as a Reference
At time of crisis, everyone is scrambling for the latest news for signals of changes and make decisions to mitigate risk. Average person uses common… Read More »Relevancy Modeling with Symbolic AI
Data scientist was coined the sexiest job of the 21st century and with good reason. In LinkedIn 2020 Emerging Jobs Reports, Artificial intelligence was named the ‘Jobs… Read More »5 Most Important Skills of a Data Scientist
My original intent with this article was to write about how to understand statistics in general. However, with the global pandemic on everyone’s minds right… Read More »Understanding Covid-19 Statistics (in plain English)
Summary: Mid-career switching into data science is difficult. But if you already have substantial data base experience becoming a Data Engineer can be a great… Read More »Mid-Career Switching into Data Science and Data Engineering
1. Introduction Pandas First, Pandas is an open source Python library for data analysis. It contains data manipulation and data structures tools designed to make… Read More »Getting Started with pandas a powerful Python data analysis toolkit
We are very happy to announce that DSC has found a new home: Tech Target (Nasdaq: TTGT), the global leader in purchase intent-driven marketing and… Read More »Tech Target Acquires Data Science Central
