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basic concepts in Python for Data Science

By EldersTalent Uncategorized
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About Course



Basic concepts in Python for Data Science, AI, and Development include understanding fundamental data types and structures, control flow, functions, and modules. Familiarity with libraries like NumPy, Pandas, and Matplotlib is essential for data manipulation, analysis, and visualization tasks.

What Will You Learn?

  • 1.Understand and utilize Python’s core data structures to efficiently organize and manage data.
  • 2.Gain hands-on experience in manipulating and analyzing datasets using the Pandas library.
  • 3.Learn fundamental machine learning concepts and their applications using Scikit-learn.

Course Content

Fundamental concepts in Python for Data Science
Fundamental concepts in Python for Data Science, AI, and Development include data structures (lists, tuples, dictionaries) for organizing data, the Pandas library for data manipulation and analysis, and machine learning techniques using libraries like Scikit-learn for building predictive models. These concepts are essential for effective data-driven applications.

  • Data Structures
    16:54
  • Understanding Python Data Structures
  • Exploring and Implementing Python Data Structures
  • Control Flow
    16:54
  • Quiz 2:Understanding Control Flow in Python
  • Use Control Flow in Python

Data Analysis with Pandas
Learn how to manipulate and analyze data using the Pandas library, a key tool for data scientists.

Introduction to Machine Learning
Get an overview of machine learning concepts and how to use libraries like Scikit-learn for building models.

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