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Data Analysis in Python: Using Pandas DataFrames

This Guided Project Data Analysis in Python: Using Pandas DataFrames is for those who are interested in using python for data science in practice. In this...

By Ahmad Varasteh on Coursera

About This Course

This Guided Project Data Analysis in Python: Using Pandas DataFrames is for those who are interested in using python for data science in practice. In this 90-minute Guided Project, learn how to import and visualize an IMDb data set in Pandas. You will learn how to import JSON data into a Pandas Dataframe and apply the data preparation process to ensure the data is ready for analysis. To achieve this, we will explore the famous IMDb Movies dataset. We will start with importing our JSON data into a Pandas data frame. After applying some data preparation steps such as dropping and renaming some columns, we are going to start our data analysis by answering some analytical questions about the dataset. This Guided Project is unique as it focuses on how to use Pandas functions to filter, clean, aggregate, and visualize data. In order to be successful in this project, you will need to have basic knowledge of the python programming language. basic Python syntax, simple Python operators, and Python control structures are the main prerequisite of this guided project.

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How much does Data Analysis in Python: Using Pandas DataFrames cost?

Visit the Data Analysis in Python: Using Pandas DataFrames course page for current pricing and available discounts.

Who teaches Data Analysis in Python: Using Pandas DataFrames?

Data Analysis in Python: Using Pandas DataFrames is taught by Ahmad Varasteh, Coursera.

What skill level is Data Analysis in Python: Using Pandas DataFrames for?

This course is designed for all levels learners.

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Students0
Duration2 hours
LevelAll Levels
Languageen
PlatformCoursera