R Programming Cheat Sheet For Basics Level

With the help of the R programming cheat sheet, we can perform a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, …) and graphical techniques, and is highly extensible. One of R’s strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and … Read more

R Libraries Every Data Scientist Should Know

I have been using R for the longest time in my professional life, I realized that R outclasses Python in several use cases, particularly for statistical analyses. As well, R has some powerful packages that were built by the world’s biggest tech companies, and they aren’t in Python! And so, in this article, I wanted to go … Read more

Statistical Concepts For Data Science Interviews

Statistics is a building block of data science. If you are working or plan to work in this field, then you will encounter the fundamental Statistical Concepts. Certainly, there is much more to learn in statistics, but once you understand these basics, then you can steadily build your way up to advanced topics. In this … Read more

7 Free Datasets for Data Science Project

If you’ve ever worked on a personal data science project, you’ve probably spent a lot of time browsing the internet looking for interesting datasets to analyze. It can be fun to sift through dozens of datasets to find the perfect one, but it can also be frustrating to download and import several CSV files, only … Read more

5 Steps to Improve Your Data Visualization In Excel

You can display your data analysis reports in several ways in Excel. However, if you know the right data visualization technique your data analysis results can be more notable, and your audience can quickly grasp what you want to project in the data. It also leaves a good impact on your presentation style. You can … Read more

Excel formulas for Data Analysis

If you’re a data scientist or data analyst, 80% of your time you invest in three important steps of data analysis i.e. Data Cleaning, where you transform, rearrange the data to give it a proper shape to make it suitable for data analysis. Next is performing calculations to extract useful information from your dataset and make it ready for the … Read more

Most Important Algorithms That You Should Know

Algorithms are used by all of us all the time with or without our direct knowledge. They have applications in many different disciplines, from math and physics to, of course, computing. These are the most important algorithms that you should know. 1. Boolean (binary) algebra You might be familiar with the term Boolean from mathematics, logic, and computer coding. It was … Read more

What is Japanification?

The central idea behind the word “Japanification” is that an economy loses altitude in its growth trajectory for an extended period. It is associated with low-interest rates, low inflation and high government indebtedness. The extent to which these factors are causal agents or just the side effects is hotly debated by economists. Once not too … Read more