Exploratory Data Analysis in Python

Exploratory data analysis is an important part of any Data Scientist or Analyst’s workflow, so if you are interested in working with data, the Exploratory Data Analysis in Python course is for you. This is one of the best online exploratory data analysis courses. In this course, you will learn about exploratory data analysis techniques in Python, including EDA for data preparation, Summary statistics, Data visualization techniques, EDA prior to building a machine learning model, Prior to taking this course, you should have some knowledge of base Python and experience with pandas DataFrames.

In the Exploratory Data Analysis in Python course, you will learn about exploratory data analysis and what it is used for. Then, you will learn how to use exploratory data analysis (EDA) to inform data inspection, cleaning, and validation and learn how to use exploratory data analysis (EDA) to inform data inspection, cleaning, and validation. Next, you will be taught how to use aggregate functions in pandas to calculate tables of summary statistics. Last, the lecturer will be teaching you to learn how to investigate whether there is an association between two variables.

This course offers:

• Flexible deadlines: Reset deadlines based on your availability.
• Get a Certificate upon completion
• 100% online
• Beginner level
• Approximately 10 hours to finish
• Subtitles: English

Participants: 924

Enroll here: https://www.codecademy.com/learn/eda-exploratory-data-analysis-python