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Confusion Matrix Explained

The confusion matrix is a table that helps to visualize and understand the performance of supervised algorithms where the target is to determine a logical value. In this article, we will demonstrate the confusion matrix on a prediction algorithm of a…

The Three Ways of Primary Data Collection

Primary data is when the data is gathered directly from the genuine source. Basically, every information you gather from first-hand experience is primary data. Data is the cornerstone of all statistical research. But the origin of your data and the…

Dark Data 101: Everything You Need to Know

According to a study made by IBM in 2018, over 80% of all data is dark and unstructured and this will rise to 93% by 2020.However, don’t let the name fool you: there’s nothing dark about dark data. In fact, it may be the light at the end of a tunnel…

Mean vs. Median

The term “average” can often mislead us and hide valuable and reliable information from our data. It is hard to decide which number we need to use. In everyday statistics and news or even in scientific research, the result is often presented as the…

Which Measurement Scale Should We Use?

During statistical observations, we get results we have to present decently. The method of the presentation depends on various factors such as the type of the observed data: discrete or continuous random variables.The level of measurement or scale of…

Data Science VS Statistics: What Are the Key Differences?

Ever since technology took a toll over all the major and minor spheres that constitute our personal and professional lives, data, and more precisely, big data has become the talk of the town. The most common perception of data that prevails in the…

Prepare Your Data - The Dirty Side of Data Cleaning

Even if you created the most accurately designed survey, you WILL find errors in the answers. To err is human— so to speak. But the process of data cleansing or data cleaning can help you to bring the best out of your collected data. So let’s find…

Suggested & Automatic Charts

Charts and plots are graphic visualizations of your data with different symbols such as bars, lines, dots, or slices. There are many types of charts but the most common are bar charts, pie charts, histograms and the different plots like box plot…

The Beginner’s Guide to Prescriptive, Descriptive, and Predictive Analytics

Analytics has always been an interesting concept for businesses and organizations across the globe. Businesses are not only able to draw insights through analytics, but it is also possible for them to make informed decisions that are in their best…

Key Trends in Machine Learning and AI in 2019

Even though machine learning and artificial intelligence have been some of the most popular and interesting fields in recent times, owing to unmatched potential, these subfields of the world of information technology are now being explored more than…

The Importance of Data Collection

There are no second opinions about the fact that data is a crucial element of all systems that surround us today. Whether you are trying to run a business and want to offer products or services that are more relevant to your target audience, or are…

The Importance of Data Security

Cyber security has been the talk of the town in 2018. With data breaches affecting the users of renowned companies including Google and Facebook to increasing numbers of cyber attacks, it goes without saying that data security has now become more…

Data Analysts vs. Data Scientists vs. Data Engineers - What Separates Them From One Another

As the world progresses towards a ‘smarter’ time, with various smart devices and technologies all around us, the use of the word “data” has increased as well. We hear the word data very often. We hear how important it is to store our data, and how…

Predictive Analytics In Real Life

You must have heard how knowledge of the past can lead to insights into the future, right? Well, that is exactly what the field of predictive analytics is there for. The term predictive analytics refers to the analysis of historical data, through…

10 Tips to Make Predictive Analytics Better

For those who do not already know, predictive analytics trains a computer model to learn from large amounts of data for the purpose of finding complex patterns that might be necessary for actions like inventory optimization and fraud prediction.The…

Differences Between Predictive Analytics and Machine Learning

Organizations no longer need to run through hoops to get relevant data about their market, business, clients, and so on. With the digitization of the business world, obtaining and gather information/data is no longer a challenge.While data collection…

Often, people confuse business intelligence for simple business analytics or vice versa. But, what is wrong in that? Are not business intelligence (BI) and business analytics (BA) the same thing? If you think like that, then you have got things all…

Predictive Analytics: All You Need to Know

Predictive analytics is a combination of Business Intelligence (BI) and Big Data, the two dominating concepts in today’s technology realm. Predictive analytics is often the only answer to two fundamental questions: What should a business do when it…

Data Visualization - The Story of Numbers

We are visual creatures, built for visual analysis. Off all our sensory organs, it is through the eyes that the largest amount of data enters the brain. Our visual system is extremely well-developed; the optic nerve sends data to the brain at…

What Everyone Should Know about Survey

Many times, we have a bunch of data from surveys that we cannot do anything with. To fix this problem, we created a cheat sheet that you can use to create an analyzable survey. We will focus online survey because they are the most popular and the…

Data has always played a key role for organizations, business, and industries. From the paper time sheets and manually managed rosters and schedules of the past to the smart, high-tech and automated management systems, solution and applications of…

Big Data and Small Data

Data is the new gold. Data is the new oil. In the past years, big data has become very popular, and now in 2016 small data is the “new big data.” In data science, both are very important. However, we can read many different opinions on this topic. In…

Data Science In a Nutshell

Data science is not rocket science. Although a data scientist needs to have many skills in different areas, you do not need to be an omniscient unicorn to take advantage of some parts of data science.Definition of Data Science“Data science is an…

Cloud or Desktop? Pros and Cons

Nowadays, there are many pieces of data analysis software on the market. We can group them by many different viewpoints, but in this article, we will focus on the method of operation. If you want to use a data analytics software and are looking for…

Five Must Watch Movies on Data Science

Are in a good relationship with data analytics or use it during your everyday work? Is watching films one of your favorite hobbies? If so, check out our list of the best data science-related films. Grab the popcorn and enjoy any of the following…

Data Analysis – It Is a Kind of Magic

In this post, we are focusing on data analysis and visualizations, which do not come from the devil, as many leaders of organizations think. We believe that data analysis and visualization can be understandable, discoverable, manageable for the…

A/B Split Tests: Avoid These Common Mistakes

Running AB tests is indispensable if you want to make good decisions. However, if you make mistakes, your decision can have worse consequences than simply deciding based on your intuition. Therefore, it is important to do A/B tests the right way…

The Correlation Coefficient Demystified

Correlation and the correlation coefficient seem to be difficult to understand. They sound like some weird mathematical, statistical thing. However, once you understand them, you will think in a totally new way about causality and how things are…