Python Packages: NumPy and Pandas Dataframe

On this informative course created in collaboration with Github, you’ll further your understanding of data analysis, and become more familiar with Python programming.

Explore and learn the features of Python programming

This course is designed to make you a more confident Python user, following your introduction to the fundamentals of Python.

You’ll gain confidence using the Module, Packages and Libraries in Python, and use Python’s Date Time data, and Numpy and Pandas packages.

Discover data ingestion using Python

You’ll practice ingesting data from various data types and sources using Python, so it’s ready to be further analysed. Adding Python programming to your skills can make this a quicker and easier process, offering you efficiencies and new ways to manipulate the data.

By the end of the course, you’ll be able to demonstrate that you can use Python functions in various ways.

This course is suitable for:

• business analysts or junior data analysts looking to develop advanced data analytics skills and programming capabilities to progress their careers in data analytics
• those with existing programming capabilities looking to enter the data analytics field
• individuals lacking the programming capabilities to conduct more advanced data analysis and modelling

During the ExpertTrack we’ll be using Jupyter notebook. We recommend you use a computer to access these elements.

• Python packages: NumPy
• Welcome to the course
• Python Modules and Packages
• Getting started with NumPy and Arrays
• Wrap-up
• NumPy: Essential operations and functions
• Introduction to operations and functions in NumPy
• Operations and functions in NumPy
• Wrap-up
• Python package: Pandas
• Introduction to Pandas
• Getting Started with Pandas
• Data structures in Pandas
• Wrap-up
• Pandas: Essential operations and functions
• Introduction to operations and functions in Pandas
• Operations and functions with Pandas DataFrames
• Wrap-up