Many people think of programming in Python or R when the think of performing Data Science work, but tools like Google Sheets,Excel, Tableau and Power BI can help to make some of the tasks more automated. In addition, using a spreadsheet like Excel is an excellent way to familiarize yourself…

Storing data in files can be an important tool for data scientists. It is essential to be able to store information in files of data so that you can access them and so that others can update them as needed. …

Regression is an important tool for Data Scientists. It allows us to model and predict many aspects of our data. When doing regression we take a sample of the data and fit a line to the sample data. This line may fit the sample very well but it may not…

There is no question that railroads are one of the most efficient freight transportation modes. They use much less energy to transport the same amount of freight than trucks. However the railroad industry still uses fossil fuels. That is why new research into how locomotives that can use hydrogen as…

Data Science is a very vast and complicated field of study. To be a Data Scientist, it is important to have a good grasp of Mathematics, Statistics, and Computer Science. In this article I will describe some of the different skills that help as you become a Data Scientist. Mathematics If…

Electric cars are becoming more and more popular. Not only are they better for the environment, but they may also be better on your bank account. While electric cars are more expensive to purchase new, their life time costs of ownership can be significantly smaller than those of gasoline vehicles…

Python’s Scikit-Learn library is an excellent tool for Data Science and Statistical Learning. In this article I will explore some cool datasets included in the Scikit-Learn library and some of the other features that can give us insights into the information that is hidden in large complex datasets. To use…

Robots are quickly becoming tools that can help us accomplish a significant number of tasks around the home, factory and business. …

Missing values always cause problems for Data Scientists. Thankfully there are a number of ways to deal with missing data. In this article I will discuss some functions that are very useful in replacing missing values that are built into Pandas library. …