What learn
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Write Python programs confidently from scratch
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Analyze and manipulate datasets using NumPy and Pandas
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Create professional data visualizations with Matplotlib and Seaborn
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Build machine learning models with Scikit-learn
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Perform exploratory data analysis on real-world datasets
Meetings
Requirements
- <p>Basic computer literacy and familiarity with file management</p><p>No prior Python or programming experience needed</p><p>A computer capable of running Jupyter Notebook or Google Colab access</p>
Description
Unlock the power of Python for data science and artificial intelligence in this comprehensive course. Starting with Python fundamentals, you will quickly advance to working with essential data science libraries including NumPy for numerical computing, Pandas for data manipulation, and Matplotlib for stunning visualizations.
The course covers real-world data science workflows including data cleaning, exploratory data analysis, statistical modeling, and machine learning with Scikit-learn. You will work with actual datasets from various industries to solve practical problems.
Whether you are looking to transition into data science or enhance your current skill set, this course provides the foundation you need to succeed in one of the most in-demand fields in technology.
Frequently Asked Question
About Instructor
About Instructor
Award-winning UI/UX designer and creative director with 10 years of experience working with top brands. Expert in Figma, Adobe Creative Suite, and design systems. Specializes in teaching user-centered design thinking and prototyping for digital products.
