Python for Data Science
Learn the fundamentals of Python programming essential for data science
This is an essential course in Python programming. It provides an introduction to the python programming language for data science and discusses the core programming principles of Python. In this course, we will help you set up python on your system and introduce the most important programming concepts in Python.
You will learn about the fundamentals of Python programming including how to set it up, primary data types and their properties, functions, and methods in Python, and how to use packages and modules available from the Python community.
You will then learn the key programming concepts such as boolean logic, control structures, and loops. We will also introduce an important library called NumPy and a data structure called dictionaries. These are crucial for your data science skills and will make the foundation for any Python data science project you work on.
What's Included
- Detailed concepts and explanations about each topic
- Step-by-step instructions for all examples created in Python
- Python code for all examples used in the course
Course Resources
Lessons
Data Science in Finance: 9-Book Bundle
Master R and Python for financial data science with our comprehensive bundle of 9 ebooks.
What's Included:
- Getting Started with R
- R Programming for Data Science
- Data Visualization with R
- Financial Time Series Analysis with R
- Quantitative Trading Strategies with R
- Derivatives with R
- Credit Risk Modelling With R
- Python for Data Science
- Machine Learning in Finance using Python
Each book includes PDFs, explanations, instructions, data files, and R code for all examples.
Get the Bundle for $29 (Regular $57)Free Guides - Getting Started with R and Python
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