Description
85% of data science problems are solved using exploratory data analysis (EDA), visualization, regression (linear & logistic). Naturally, 85% of the interview questions comes from these topics as well.
This is a concise course created by UNP to focus on what matter most. This course will help you create a solid foundation of the essential topics of data science. With a solid foundation, you will be able to go a long way, understand any method easily, and create your own predictive analytics models.

Who this course is for:

    Anyone willing to take the first step towards data science
    Anyone willing to develop a solid foundation for data science
    Anyone planning to build the first regression / machine learning models
    Anyone willing to learn exploratory data analysis

Requirements

    Basic programming in any language
    Basic Mathematics
    Some exposure to Python (but not mandatory)

Last updated 7/2018