Python for Data Analysis
Python is a widely used general-purpose, high level programming language. It is growing in popularity due to its emphasis on code readability, and its syntax allows programmers to express concepts in fewer lines of code. This 3-day introduction course will get you started by understanding the basics.
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- Date14 Jun 2021
- VenueWorcester
- Cost£1,350
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This course gives you a hands-on 3 days with the Python language, giving you the essentials and confidence that you need to start using the Python language in a production environment.
Anyone wishing to learn more about Python. A background in programming will be helpful but by no means essential.
Understand the fundamental features of the Python programming language.
Python is known for its coding reliability and speed. Being highly support by Third Party Modules, Libraries and an Open Source Community means that more people are turning to using Python.
Python is by far the fastest growing language of the last 5 or so years and that growth is only expected to continue. This course will start off your journey in learning this new language.
- Data Science
- Introduction to Python
- Python IDEs
- Turtle Graphics
- A Brief History of Python Package Installation
- Python Environments
- Alternatives to pip
- Anaconda
- Python for Data Analysis
- IPython and Jupyter
- REPLs
- Python and IPython Worked Examples
- IPython Notebook
- The Jupyter Project
- JupyterLab
- Are Scientific Papers Dead?
- An Example Analysis
- Lists, Tuples, Dictionaries and Sets
- Lists
- Tuples
- Slicing
- Dictionaries
- Sets
- List, Set and Dict Comprehensions
- NumPy Overview
- Importing NumPy
- The ndarray
- Overview of pandas
- Series
- DataFrames
- Data Visualisation Overview
- Matplotlib
- Seaborn
None. Although a programming background will be helpful.