DATA SCIENCE VS COMPUTER SCIENCE

DATA SCIENCE

“Data Science is about gathering data (finding patterns in data),decision making, future prediction through analysis.”

COMPUTER SCIENCE

“Computer Science is the field in which we study hardware and software computational systems and how they solve problems in the real world.”

Applicatons

Importance

• Understanding of business domain and its product are required for both.
• Both of them rely on algorithms for processing data , solving problems and optimising solutions.
• Both of them require strong mathematical foundations.
• Both of the fields require professionalism in programming which is essential for coding solutions and automating tasks in both fields.
• Working knowledge of the company’s data is required in both.
• Both of them have interest in machine learning and Artificial Intelligence field.
• Both of them rely on programming skills
• Both of them rely on strong problem-solving skills such as computer scientist develop algorithms to solve computational problems.
• Both of them rely on mathematics ,especially in statics , algorithms.
• Both of them involves automation tasks.
• Both are leaders in the field of technology.
• Both of them has systematic approach for the scientific process.

Data Science is concern with extracting insights knowledge from data. Moreover,It involve the analyzation of large amount of data to extract patterns , trends and to make data based decisions or predictions.

Computer Science ,basically is the study of computer hardware and software computational systems.Computer Science is more concerned on creating algorithms , software development and computational system to solve problems.

Data Science use various tools and programming languages which are suitable for data visualization and statistical analysis such as Jupiter notebooks , python , R ,SQL , Spark, Power BI etc.

Computer science professional involve those programming language that are geared toward networking , system management, software development, application development. In addition,Computer Science programming languages are C,C++,Java,Python and the tools are Compilers ,vision control system (Git).

Data Science educational system requires expertise in statistics , data analysis , machine learning and use of specific analysis tools and programming languages.Data scientist also requires strong analytical skills and a deep understanding of statistical methods.

Computer Science education focuses on the principles of software development , algorithms , programming languages , computer software and hardware computing system and also data structures. Computer scientist must have strong problem solving skills.

Data Science : The main objective of Data science is to extract meaningful insights knowledge from data and make predictions and decisions based upon data.

Computer Science : The main goal of computer Science is to understand and create hardware and software systems that process and manage data and to solve computational problems.

Data Science focuses on areas like machine learning , big data analytics, statistical analysis, data mining etc.

Computer Science focuses on the areas like algorithms , software development , networking , database system , computer architecture and computers systems.

Data Science is converting raw data into knowledge insights.

Computer Science focuses on creating software , systems and tools that enables the processing and management of data.

Data Science has a great impact on decision-making in business organizations . Today in the world ,Data Science is used in many industries such as Healthcare , Manufacturing and Banking.It is also used in recommendation systems , fraud detection , customer segmentation , data-driven ,decision making and future prediction.

Computer Sciences is used worldwide such as in software development , networking system , shaping the infrastructure of the digital world , creating those software that powers devices and influences the development of the new technologies and improvement in the existing ones.

Data Science professionalise can work in various industries such as finance , Healthcare , marketing and technology.They can also work as data analysts , data scientists and a machine learning engineers.

Computer Science professionalism have a broad range of career opportunities in different fields such as software development , IT centres , cyber security , system engineering healthcare and finance.They can also work in any industry that involve computer and software systems.

In Data science are fundamental for tasks like machine learning , data mining and statistical analysis.

In computer science , algorithms are play very important in creating software , solving computational problems and operating systems .

Data Science is best for those people who are interested in analyzing and interpreting data , building predictive models and making data-driven decision.

Computer Science is more suited for those people who are more interested in software development , building system , networking and understanding the theoretical foundations of computing.