Team Apr 17, 2024 No Comments
It was 1663 in London. John Graunt, a genius statistician, did something that became a pioneering example of data analytics.
He collected and analyzed mortality data. At that time, the terrible bubonic plague caused deaths in London. His analysis let him find patterns in how many people died, where, and when.
This helped him figure out how the disease was spreading and what might be done to slow it down. Although his analysis methods were basic, Graunt showed us the power of analyzing data to understand a complex problem.
Over 360 years have passed, and data analytics have changed tremendously. Now, we have complex data coming from everywhere. The internet and digitization have created an explosion in the quantity and types of data generated.
Luckily, we have advanced computers and powerful statistical tools that help us analyze massive sets of data and find valuable insights. Now, data analysis is a rapidly growing field that helps organizations make better decisions, optimize processes, reduce risks, and improve their overall performance.
In this post, we will see what is data analytics, its application, its types, and how it’s done. Let’s start with the basics.
Data analytics involves studying raw data to find hidden patterns and useful insights.
This data could be about customer behavior, sales figures, website clicks, sensor readings, etc. This raw data is often overwhelming and difficult to understand. Data analytics provides the tools and processes to understand it.
The first thing we do to analyze data is collect data from various sources. Then, we clean and organize this data to make it accurate and consistent. Next, we apply different analytical methods to find insights in the data.
Insights helps organizations make informed decisions. For instance, businesses might use the findings to improve marketing campaigns, streamline operations, or develop new products. Similarly, scientists might use it to predict disease outbreaks or understand climate change.
No wonder, data analytics is one of the highest-paying skills in 2024.
Data analytics provides insights that replace guesswork and help make informed decisions. This optimizes processes, cuts costs, and improves outcomes for businesses. Here are some examples of how data analytics is used in real life:
These are just a few examples. Data analytics is being used in countless ways to improve our lives. And as technology advances, the applications of data analytics will only continue to expand.
Now you understand what is data analytics and what are its applications. So, let’s move on to the next section:
Data analytics can be divided into four main categories, each having a specific focus:
Understanding these types is crucial. It helps data analysts choose the right approach to answer specific questions and make better decisions.
So, Netflix is incredibly focused on data analytics. They track everything from what you watch to when you pause, scroll, or abandon a show. And they use this to improve recommendations. Let’s take the example of Netflix to understand the steps in data analytics:
Data analysis often requires several iterations. You may need to revisit earlier steps to collect additional data, refine your analysis methods, or answer new questions that arise during the process.
Now that you know what is data analytics, if you want to learn this in-demand skill from the basics, you can join Ivy Pro School’s Data Analytics with Visualization Certification Course.
This course will teach you all the industry-relevant tools like Adv. Excel, SQL, Tableau, Power BI, Python, etc. These skills make your resume impressive and help you land high-paying data analytics jobs.
Ivy Pro School has been a top-ranked Data Science and Analytics course provider since 2008. Fortune 500 companies like Tata Steel, Accenture, ITC, Cognizant, Capgemini, and more actively recruit Ivy’s graduates.
Visit this page to learn more about Ivy’s Data Analytics with Visualization Certification course.