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Data Science Full Course For Beginners | Python Data Science

Data Science Full Course For Beginners | Python Data Science

$9.99

$109.99

The "Data Science Full Course For Beginners | Python Data Science" offers a comprehensive introduction to data science using Python. Covering essential topics like data manipulation with Pandas, numerical computations with NumPy, and data visualization with Matplotlib, this course provides hands-on experience with real-world data projects. You'll also get an introduction to machine learning with Scikit-Learn, equipping you with practical skills to analyze, visualize, and model data. Ideal for newcomers, this course sets a solid foundation for further exploration in data science.

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Has discount
Expiry period Lifetime
Made in English
Last updated at Mon Jul 2024
Level
Beginner
Total lectures 122
Total quizzes 0
Total duration 34:06:43 Hours
Total enrolment 60
Number of reviews 12
Avg rating
Short description The "Data Science Full Course For Beginners | Python Data Science" offers a comprehensive introduction to data science using Python. Covering essential topics like data manipulation with Pandas, numerical computations with NumPy, and data visualization with Matplotlib, this course provides hands-on experience with real-world data projects. You'll also get an introduction to machine learning with Scikit-Learn, equipping you with practical skills to analyze, visualize, and model data. Ideal for newcomers, this course sets a solid foundation for further exploration in data science.
Outcomes
  • Proficiency in Data Analysis: Develop skills to clean, manipulate, and analyze data using Pandas and NumPy.
  • Effective Data Visualization: Create and interpret visualizations using Matplotlib and Seaborn to communicate data insights.
  • Basic Machine Learning Knowledge: Implement and evaluate simple machine learning models using Scikit-Learn.
  • Practical Data Projects: Apply your knowledge to complete real-world data science projects and case studies.
  • Foundation for Advanced Learning: Establish a solid foundation for further studies in data science and machine learning.
Requirements

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