Journey into Data Science with Python
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About this course
Build practical data science skills in Python through hands-on work with NumPy, Pandas, visualization, preprocessing, and machine learning. Analyze real datasets while learning how to prepare data, model outcomes, and interpret patterns.
What you'll learn
- data analysis with Python
- data preprocessing techniques
- data visualization methods
- machine learning model development
- pattern interpretation in datasets
Course objectives
- to gain practical experience with data tools and libraries
- to understand the end-to-end process of data science
- to apply machine learning algorithms to real datasets
Skills you'll gain
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