Data analysis is a broad and multidisciplinary concept . With this course, you will learn to take your first steps in the world of data analysis . It combines both theory and practice . The course begins by explaining basic concepts about data and its properties . And it ends with more advanced applications like regression, correlation, analysis of variance, and other advanced applications . Do you need help with statistics? In this course we will learn the basic statistical techniques to perform an Exploratory Data Analysis in a professional way. We will learn how to use Python’s Pivot Table, Chi-Square, Box-Plot, Anova and Chi-square .API quota exceeded. You can make 500 requests per day.
Who this course is for:
Students and professionals who wish to acquire or improve their skills in data analysis through statistical techniques.
Python developers who want to improve their skills using statistical techniques.
Data analysts.
Beginning python developers interested in data science.
