Five Things You Most Likely Didn’t Know About Data Analysis


Data analysis is similar to the study of statistics, albeit with a more focused scope. It is the process of using numerical information from different sources to draw conclusions about topics such as social trends, normative behaviors, and the efficiency of processes. The methods used in data analysis vary widely depending on what you are trying to analyze, but typically involve applying mathematical models and statistical assumptions that describe regularities in groups or populations. Data analysts should have a strong knowledge base in statistics and related disciplines such as mathematics and economics in order to carry out their job competently. There are plenty of business analyst jobs around. The following is a list of five things that you probably didn’t know about data analysis.

1) People often misunderstand what it is they do when they are involved in analyzing data. 

The public is usually under the impression that such people are in the business of predicting outcomes based on information gathered from various sources and statistical assumptions, which is wrong. Data analysts’ focus involves transforming raw numerical information from disparate sources into useful sets of numbers for decision making, which has nothing to do with predicting outcomes. In fact, predictions are just one application of the work performed by data analysts. The gray area between data analysis and forecasting can make it difficult to ascertain the exact nature of the work performed by data analysts, which leads to a lot of confusion.

2) People often associate data analysis with “just looking at numbers,” but this is not how it works. 

Often, people who work as data analysts spend a lot of time putting numbers into a proper perspective. For instance, they may be interested in churn data to determine if there is a correlation between the age of customers and their likelihood of dropping service. In order to do this, they will have to process the raw numbers into usable information. The actual number crunching part is not very time consuming; it’s just what happens when you convert numbers from raw form into meaningful format that can be manipulated and analyzed. 

3) Data analysts are typically less well known than data scientists, yet people tend not to appreciate how important their work is.

Data analysts often work behind the scenes and are not known by many people. While many believe that the data mining process involves a lot of number crunching, it’s actually the data analysis stage that requires most of the time to complete. All the complex statistical equations and analyses performed by data scientists and machine learning specialists don’t mean anything if there isn’t someone to shape the raw numbers into a useable format. As such, it is important to understand what data analysis entails and how you can use someone’s skills in this field to your advantage. 

4) Data analysis is becoming more and more popular every day because of how much businesses rely on accurate information. 

Technological advancements have created faster and more efficient ways of making decisions based on mathematical models and statistical assumptions. As such, companies are turning to data analysis professionals in order to obtain accurate information and make the right decision quickly. This is a good thing because many types of decisions have to be made, including those related to loan applications and insurance calculations. The field of data analysis, therefore, is in high demand. 

5) Data analysis has evolved over the years. 

There are now a lot of different types of data analysts working at different companies and processing information on different types of subjects. People who work in this field should have a background in the various areas that it covers, which includes subjects such as psychology and economics. You can have a career as a data analyst even if you don’t have a college degree, provided that you have the relevant work and life experience.


Data analysis is becoming more prevalent in today’s world due to technological advancements and the need for fast information regarding various topics. 

Data analysis has become an important part of many industries, including business intelligence and marketing. While there are many people who specialize in data analysis, anyone can perform the necessary tasks involved with it if they have the right background. Education is key to becoming a successful data analyst, regardless of whether you are applying for a job or doing so on your own. The following are some types of programs you might consider when you want to become a data analyst:

Additionally, there are organizations that offer individual courses designed especially for people interested in learning data analysis skills. 


Please enter your comment!
Please enter your name here