Computer science is the study of computers and computing as well as their theoretical and practical applications. Computer science applies the principles of mathematics, engineering, and logic to a plethora of functions, including algorithm formulation, software and hardware development, and artificial intelligence.

Data science is the domain of study that deals with vast volumes of data using modern tools and techniques to find unseen patterns, derive meaningful information, and make business decisions. Data science uses complex machine learning algorithms to build predictive models.

To know the major differences between them check here, Computer science VS Data science

With a rapid increase in the technology sphere, the two highest growth and demand careers are data science and computer science. Both go hand in hand. You must be wondering what differentiates them. Though they overlap with one another, each one is unique in terms of the people they attract and also offers distinct career paths. The question here is computer science vs. data science. Which is better? Which one should you choose? It is important to know the differences and what it takes to excel in both before jumping to a conclusion. Read the article below to know the core differences, advantages, roles, responsibilities, real-world application, and benefits. This will help you to make a decision that is right for you! This article will help guide you through the following:

The Key Points of Data Science and Computer Science are as follows

To summarize, data science refers to a specific field of knowledge within the study of computers, focusing on programming, analytics, and statistics. Computer science deals with building hardware and programming software.

Both fields require problem-solving and analytical skills. Paying attention to detail, having good communication skills, and understanding businesses are also very important. Since both these fields can go hand in hand, there is no definite answer to Data Science vs Computer Science which is better.

Data science is easier to summarize than computer science. This discipline focuses almost entirely on collecting, organizing, and analyzing data and can be described as a mix of math, statistics, and computer science.

The average yearly salary for data scientists is $120,103 . The average yearly salary for software engineers is $102,234 . Software engineers also receive an average of $4,000 in bonuses each year. Your salary may vary depending on your experience, skills, training, certifications and your employer.

The main concept of a Data Scientist is to solve business problems using Machine Learning algorithms, while the main theme of a Computer Scientist is either the direction of object-oriented programming and Software Engineering or more towards IT requiring a general working knowledge of everything that is a computer.

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