Articles for category: Data Science

Abhimanyu Saxena

How To Become a Data Scientist

How To Become a Data Scientist

Data science is one of the most in-demand careers today. With businesses increasingly relying on data to make decisions, the need for skilled data scientists has grown rapidly. Whether it’s tech companies, healthcare organizations, or even government institutions, data scientists play a crucial role in turning raw data into valuable insights. But how do you ...

Team Applied AI

Data Science and Machine Learning

Data Science and Machine Learning: What’s The Difference?

In today’s data-driven world, both machine learning and data science have gained massive importance. They help businesses and industries understand data, make predictions, and drive decisions. However, many people often confuse these terms or use them interchangeably. This article will explain the main differences between machine learning and data science in simple terms, ideal for ...

Anshuman Singh

Data Aggregation

What is Data Aggregation?

Data aggregation is a crucial process in the modern data-driven world. It involves collecting and summarizing large volumes of data from multiple sources into a unified format, making it easier to analyze and draw insights. This process is essential in industries such as marketing, finance, and research, where decision-making relies heavily on the availability of ...

Abhimanyu Saxena

how to become a data analyst with no experience

How to Become a Data Analyst with No Experience

Data analysts are in high demand, and many industries are seeking skilled professionals to interpret their growing datasets. Fortunately, it’s possible to become a data analyst even without prior experience. With the right skills, practical projects, and a solid portfolio, you can break into the field. This article will walk you through the steps to ...

Team Applied AI

20+ Data Analytics Tools and When To Use Them

20+ Data Analytics Tools and When To Use Them

In today’s data-driven world, the ability to analyze and extract meaningful insights from vast amounts of data is critical for businesses, researchers, and decision-makers. With the rise of big data, organizations across industries are increasingly relying on advanced data analytics tools to make informed decisions, optimize processes, and stay competitive. Data analytics tools help in ...

Mayank Gupta

how to become a data scientist after 12th

How to Become a Data Scientist after 12th?

Becoming a data scientist is a rewarding career path, and starting early, right after 12th grade, can give you a significant head start. In today’s data-driven world, data scientists play a crucial role in analyzing complex data to derive meaningful insights for businesses. By focusing on the right subjects in school, learning essential programming languages, ...

Anshuman Singh

Data Science Tools

20 Top Data Science Tools to Use in 2025

In the evolving world of data science, having the right tools is essential for efficiency, accuracy, and performance. The field is vast, and there are tools for everything from data manipulation and machine learning to visualization and big data analytics. This guide highlights the top 20 data science tools you need to master in 2025, ...

Team Applied AI

is data science hard

Is Data Science Hard? Uncovering the Truth Behind the Challenges

Did you know that data scientists are among the most sought-after professionals in today’s job market? As businesses generate and rely on more data than ever before, the demand for data scientists has skyrocketed. But is it really hard to become a data scientist? The answer depends on your skills, dedication, and willingness to embrace ...

Team Applied AI

Data Cleaning in Data Science

Data Cleaning in Data Science

Did you know that poor data quality can cost businesses millions of dollars each year? In fact, companies that don’t prioritize data cleaning often face the consequences of inaccurate insights, wasted resources, and poor decision-making. Data cleaning is a crucial part of the data science process, ensuring that the data you work with is reliable, ...

Team Applied AI

difference between data analysis and data analytics

Difference Between Data Analysis and Data Analytics

Did you know that 90% of the world’s data has been created in just the last two years? In today’s data-driven world, both data analysis and data analytics are essential for making sense of vast amounts of information. While the terms are often used interchangeably, they represent distinct processes and skill sets that serve different ...