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- What is data science?
- Data science life cycle
- Python vs. R for data science
- Reading tabular data
- Exploratory data analysis
- Cleaning data
- Visualizing data
- Classification for machine learning
Skill Level Intermediate
- In the world today, it's hard to find a hotter field than data science. It's a fast-growing field that is reshaping the world we live in. From self-driving cars, to helping treat cancer, the applications of data science are vast and powerful. And taking time now to learn data science helps you open doors and unlock opportunities that can help advance your career. My name is Lavanya Vijayan, I'm a coding instructor and an advocate for STEM education and I'm really passionate about data science. In this course, I'll share the foundations of data science. I'll help you first understand what data science is and how it's applied. Then I'll help you understand data design and introduce you to the computation tools that are fundamental to data science. Then, I'll take you through the stages of the data science life cycle. By the end of this course, you will have a better understanding of data science and you can begin to craft your journey to becoming a data scientist yourself. So, let's get started.