Welcome to the Python for Data Science Bootcamp! This course is designed for beginners and intermediate learners who want to master Python programming for data science. In this bootcamp, you will learn everything from the basics of Python to advanced data analysis techniques.
Course Outline
Introduction to Python
- Python syntax and basic data types
- Control structures and functions
- Modules and packages
Data Manipulation
- Data structures: lists, dictionaries, sets, and tuples
- NumPy arrays and matrices
- Pandas for data manipulation and analysis
Data Visualization
- Matplotlib for plotting
- Seaborn for statistical visualizations
- Data visualization techniques
Machine Learning
- Introduction to machine learning
- Supervised and unsupervised learning
- Building machine learning models
Advanced Topics
- Data preprocessing and feature engineering
- Model evaluation and validation
- Deep learning with TensorFlow and Keras
Course Materials
- Textbook: "Python for Data Analysis" by Wes McKinney
- Online Resources: Python Data Science Handbook
Prerequisites
- Basic knowledge of programming (preferably in Python)
- Familiarity with mathematics (especially statistics and linear algebra)
Instructors
- John Doe
- Jane Smith
Enroll Now
Ready to start your journey into the world of data science with Python? Enroll now and get access to all the materials and resources you need to succeed!
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