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Data Science
Data science is a multidisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data. It uses techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, information science, and domain knowledge.
Data science is a rapidly growing field, and data scientists are in high demand across a wide range of industries. Some of the most common job titles for data scientists include data analyst, data engineer, machine learning engineer, and data scientist.
Domain of DS
Course Topics
You can study next topics, to understand data science domain. You will learn to design and create new software to collect, analyze and maintain specific data. These articles are generated using ChatGPT. If you find errors, please report on Discord.
- Basic concepts
- Data life cycle
- Collecting Data
- Data Storage
- Data Cleaning
- Data Analysis
- Data Visualization
- Machine Learning
- Deep Learning
- Ethical Issues
External Resources
Our course is introductory. You can learn more about data science using other resources on the internet. Here is an list of resources to free online courses for learning data science:
- Data Science Specialization by Coursera
- Introduction to Data Science by edX
- Intro to Machine Learning by Udacity
- Data Science by Khan Academy
- Understanding Data Science by DataCamp
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