About This Course
This course introduces the essential tools and techniques of data science using Python. Learners will gain hands-on experience in data wrangling, analysis, visualization, and basic machine learning workflows — all applied to real-world datasets.
Learning Objectives
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By the end of this course, learners will be able to: 1- Work with data using NumPy, Pandas, and Matplotlib 2- Perform data cleaning, exploration, and visualization 3- Build and evaluate basic predictive models 4- Understand the data science workflow and its applications 5- Apply techniques to real-world datasets using Python
Material Includes
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1- Python notebooks and datasets 2- Project-based exercises 3- Knowledge checks and quizzes 4- Certificate of completion
Requirements
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Basic knowledge of Python No prior experience in data science required Jupyter Notebook installed or Google Colab access
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