Coursera MOOC / Non-credit 0

Data Analysis with Polars and Python

Name: Data Analysis with Polars and Python
Price: 49 USD
Availability: InStock

About this course

This specialization teaches learners how to efficiently manipulate, transform, and analyze data using Python and Polars. Starting with core DataFrame operations, learners work with row and column selection, slicing, type casting, missing data handling, sorting, filtering, and data cleaning techniques to prepare structured datasets for analysis. The program then advances to more powerful Polars features, including joins, concatenations, reshaping, aggregations, group-by operations, selectors, and lazy evaluation for improved performance. Learners also gain experience working with arrays, lists, structs, text data, categorical variables, and datetime fields to handle complex real-world datasets. Through hands-on examples and interactive support from Coursera Coach, learners build practical skills for creating efficient and scalable data workflows. Designed for beginners to intermediate Python users, the specialization requires only basic Python knowledge and no prior Polars experience. By the end, learners will be able to extract, transform, and analyze data effectively while leveraging Polars to solve real-world data challenges.

68/100

CourseAsk score

What the provider tells you: 32/45
Who stands behind it: 20/35
How complete the listing is: 16/20

Scores how much the provider publishes and who stands behind it — not how well it is taught.

What you'll learn

manipulate and analyze data using Python and Polars
perform core DataFrame operations
handle missing data and type casting
apply sorting, filtering, and data cleaning techniques
execute joins, concatenations, and reshaping
utilize lazy evaluation for performance improvements

Data Analysis #python #data structures #arrays #data manipulation #data analysis #data cleaning #data transformation #missing data #data workflows #performance #real-world datasets #lazy evaluation #polars #GROUP BY #aggregations #datetime

$49.00

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