Conclusion
Get an overview of what we have learned and how to move forward.
We'll cover the following...
- Introduction
- Why data science?
- Is it really for you?
- Job titles in data science
- Common mistakes made by aspiring data scientists
- Education and interdisciplinary aspects
- Steps in a typical data science project
- Numerical capabilities
- Programming
- Portfolio making
- Data scientist's toolbox
- Python vs. R
- How to know that you are ready for interviews
- Dos and don'ts of preparation
- Efficient job search
- The interview
- Types of data science interview questions
- Final advice
First of all, congratulations on reaching the end! We're supremely confident if you follow the recommended tips and tricks, you will land a job in data science. Let's have a look at the summary of this course.
Introduction
This course covers common queries related to data science as a career option, including the benefits of the field, the necessary education, and the steps required to ...