Python for Data Science
Description
This comprehensive course will equip you with the Python programming skills and data science tools needed to analyze complex datasets and extract meaningful insights. You'll learn how to manipulate data, create visualizations, and build machine learning models using Python's powerful libraries.
Starting with Python fundamentals, you'll progress to data manipulation with pandas, numerical computing with NumPy, data visualization with Matplotlib and Seaborn, and machine learning with scikit-learn. You'll work with real-world datasets to solve practical problems and develop a portfolio of data science projects.
By the end of the course, you'll have the skills to perform exploratory data analysis, create compelling visualizations, and implement machine learning algorithms. Whether you're looking to start a career in data science or enhance your current role with data analysis skills, this course provides the foundation you need to succeed.
What you'll learn in this course?
Requirements
Understanding of math concepts
Jupyter Notebook installed
No prior data science experience
Curiosity about data analysis
Course Curriculum
Faculty & Course Instructor
Linda Anderson
Distinguished Faculty MemberAI Study Support & Grounded Tutor
As an enrolled student in Python for Data Science, you gain 24/7 access to your AI learning companion, grounded directly in this course's syllabus, lecture notes, and textbook references.
Ask deep questions about complex lessons and get citations pointing to the exact course timestamps and PDF pages.
Generate personalized revision flashcards, high-yield summary cheat sheets, and practice exam simulations.
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Lessons0
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StudentsUnlimited
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Skill levelAll
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LanguageEnglish
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CertificationsVerified Certificate