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Data Science in Python : Introduction

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Understand Python methodologies like lambdas, csv file manipulation, and prevalent data science features, including cleansing and processing DataFrame structures.

Key AI Functions:Python Programming, Numpy, Pandas, Data Cleansing

Description for Data Science in Python : Introduction

  • Comprehend methodologies such as lambdas and the manipulation of csv files
  • What are some of the most prevalent Python features and functionality that are employed in the field of data science?
  • Cleanse and process DataFrame structures.
  • Level: Intermediate

    Certification Degree: Yes

    Languages the Course is Available: 22

    Offered by: On Coursera provided by University of Michigan

    Duration: 34 hours (approximately)

    Schedule: Flexible

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