Coding is a core skill in the modern technology industries, especially for data analysts.  Python is regularly listed as one of the top languages to learn.  It is easy to get started with, the tools are free and it has support for a huge range of specific uses.  

In particular, Python has become the key language in data science with a recent report concluding: “By knowing Python, combined with a strong aptitude for quantitative reasoning and experimental analysis, you can strike gold in the industry.”

Python is regularly listed as one of the top languages to learn.  It is easy to get started with, the tools are free and it has support for a huge range of specific uses.  In particular, this will help get you started as:

• Software engineer/developer : Python is one of the top languages to learn
• Data scientist : this will aid your progression as Python is the key language in data science

There are plenty of reference books and online guides which will tell you the syntax of the Python language.  And these have a lot of value to any programmer building skills.  But a theoretical approach learning pages of Python instructions is not the best way to start learning. This course introduces the concepts you will need to use Python confidently:

• Programming concepts
• The Anaconda toolchain
• Numbers and arithmetic
• Data Types
• Functions
• Data Structures
• Methods
• Strings
• Program Flow
• Modules and Packages

And you practice these skills in a highly visual project using the popular Pandas, Geopandas, and MatPlotLib packages to turn data into maps.