Assignment Programming
Week 2
Haura Azizah Achmad
NIM: 52250027
01 March 2026
1 What is Data Science
Data Science is a combination of three disciplines: computer science, mathematics and statistics, as well as an understanding of business domain knowledge.
Data Science can be used in various fields and industries.
To apply it, several skills are required, including mathematics, programming, databases, data extraction, visualization and reporting, and machine learning.
2 what is the main pupose of our study?
The main purpose of studying Data Science Programming is to enable us to manage, analyze, and utilize data using programming. However, it is not only about learning programming; we must also understand how data is collected, analyzed, visualized, and modeled to produce accurate and valuable information.
3 why do we learn about it?
By learning Data Science Programming, we are able to make data driven decisions by using programming to analyze data, which helps companies make objective decisions. It also helps us write code (such as Python) more quickly and efficiently. Data Science is the foundation for the development of Artificial Intelligence (AI) and machine learning, which drive product innovation. Therefore, almost all industries require professionals who are capable of processing and analyzing data.
4 what tools to have to expert/about?
To become an expert, someone needs to master various tools and programming language skills, such as Python or R, which are used to process, analyze, and visualize data. A prospective expert also needs to understand analysis and visualization tools like Jupyter Notebook or Google Colab for interactive data exploration. Furthermore, they need to master theories such as statistics, probability, linear algebra, and others.
5 give your interest domain knowledge (data science)
My interest in data analytics in the fields of business and finance is driven by the fact that this area depends on fast, accurate, and data driven decision making. In the context of consumers, data analytics helps in understanding purchasing patterns, customer preferences, and responses to promotions or marketing campaigns.
In the field of finance, data analytics plays an important role in risk management, investment analysis, and market trend prediction.