What you'll learn Data Analysis in Python Requirements A Mac Computer…
Jupyter Notebook Server Setup
Creating Jupyter Notebooks
Exploring Pandas DataFrame
Manipulating Pandas DataFrame
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Data is everywhere. That means more companies are tracking,
analysing, and using the insights they find to make better decisions.
Python is a popular programming language.
It is used for:
What can Python do?
Data analysis is the process of analysing, interpreting, data to discover valuable insights that drive smarter and more effective business decisions.
Data analysis tools are used to extract useful information from business and other types of data, and help make the data analysis process easier.
Data visualisation is the graphical representation of information and data.
By using visual elements like charts, graphs and maps, data visualisation tools
provide an accessible way to see and understand trends, outliers and patterns in data.
The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modelling, data visualization, machine learning, and much more.