This course is designed for those who are interested in learning the fundamentals of data science. You will gain a comprehensive understanding of the data science process, including data collection, cleaning, visualization, and analysis. You will learn how to use popular tools such as Python and R, as well as machine learning techniques to extract insights from data. By the end of this course, you will be equipped with the skills and knowledge needed to start your own data science projects and make data-driven decisions.
Outline:
- Introduction to data science
- Data collection and cleaning
- Data visualization
- Basic statistics and probability
- Machine learning
- Building a data science project
- Next steps and resources for continuing your data science journey.
Prerequisites:
- Basic knowledge of programming
- Familiarity with basic math and statistics
By the end of the course, students will be able to:
- Understand the data science process and key concepts
- Use Python and R for data analysis
- Apply machine learning techniques to extract insights from data
- Build a data science project
The course will be taught by experienced data scientists, and will include a mix of lectures, hands-on exercises, and independent projects.