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Berkeley Global
Gain an understanding of the core concepts of data science illustrated through the use of the Python language. Learn the data science lifecycle, roles and fundamentals, and build a solid foundation before diving deeper into the theory and practice of predictive analytics and programming in future courses.
Prerequisites: The only prerequisite is an introductory statistics course. It will of course help if you have some programming or math background.
Course Outline
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Course Learning Objectives
When you have completed the course, you should be able to:
- Understand the data science process and fundamental concepts
- Perform exploratory data analysis and create data visualizations
- Understand critical statistical concepts
- Avoid common data science pitfalls
- Understand predictive analytics from a high level
- Navigate and use the Python programming environment
- Write basic Python programs.
- Collaborate and communicate results effectively
How You Learn
- Lectures
- Readings
- In-class examples
- Homework exercises
Is This Course Right for You?
This course is for students wanting a gentle, broad and practical introduction to the data science process and fundamental concepts, with lessons and examples illustrated through the use of the Python programming language. This course is not meant for students who want a deep dive into programming or predictive modeling, but is meant for those looking for a high-level understanding of the data science field and a solid foundation of data science principles before pursuing further programming and modeling courses.
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Fall enrollment opens on June 20!