Course: Exploratory Data Analysis

in course jupyter-notebook platzi python tutorial data

September 8, 2022

Image description of course

Your career in data science requires understanding the nature of data and its distribution and exploring it using statistical analysis or visualization tools. Through an EDA, you can propose the most appropriate model to address the questions of your projects.

In this course you will learn:

  • Quantify the relationship that exists between the variables of the data set.

  • Visualize the distribution of data and observe their relationships through graphs.

  • Describe the general behavior of your data using measures of central tendency and measures of dispersion.

  • Know different tools to carry out complete exploratory analyses.

Details
Posted on:
September 8, 2022
Length:
1 minute read, 94 words
Categories:
course jupyter-notebook platzi python tutorial data
Tags:
course jupyter-notebook platzi python tutorial data
See Also:
Course: Advanced Customization of Environment for Data Science
Course: Working environments for Data Science with Jupyter Notebooks and Anaconda