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Python Course For Data Science

Categories: Programming
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About Course

The Python Course for Data Science is designed to equip learners with the skills necessary to analyze data, build models, and make data-driven decisions using Python. This course covers foundational programming concepts and dives into libraries and tools commonly used in data science.

What Will You Learn?

  • Python Fundamentals
  • Understand basic Python syntax, data types, and control structures.
  • Data Manipulation with Pandas
  • Learn how to manipulate and analyze data using the Pandas library, including data cleaning and transformation.
  • Data Visualization
  • Explore data visualization techniques using Matplotlib and Seaborn to create informative charts and graphs.
  • NumPy for Numerical Data
  • Get familiar with NumPy for efficient numerical computations and array manipulations.
  • Statistical Analysis
  • Understand basic statistical concepts and how to apply them to real-world data.
  • Machine Learning Introduction
  • Introduction to machine learning concepts and algorithms using Scikit-learn for model building and evaluation.
  • Working with APIs and Web Scraping
  • Learn how to gather data from web sources and APIs to enhance your datasets.
  • Project Work
  • Apply your knowledge to real-world projects that involve data analysis and visualization.

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JU
1 month ago
Jawad