Python is an easy to use, open-source and versatile programming language that is especially popular among those new to programming. The use of Python has increased by a factor of 10 since 2005 and is projected to be more popular than the industry leading JAVA language in just a few years. It is already the number one software package for those teaching introduction to computer science courses. It is concise, easy to read, and can be used for a variety of industry needs including: web development, data analytics, core software development, and a wide range of scientific and mathematical applications.
Python also has numerous libraries for data manipulation and analysis as well as a very active development community that continually updates and creates new packages. It has been adopted by a wide variety of industries and applications including data science, machine learning, data analytics, predictive analytics, business intelligence, and web analytics.
In this short specialized study program students will learn Python programming concepts including programming styles, idioms, libraries, data structures, data retrieval, processing, visualization, networked application program interfaces and databases. Students can then choose from a final course in either Python for Data Analytics/Data Science or Accessing Web Data with Python.
Who Should Enroll
Beginner/intermediate programmers and those currently working in data science, data analytics, machine learning, GIS analytics, web development, software development and QA, UX/UI design, engineering, or business analyst fields should enroll.
Occupational summary for software developers, applications.
Source: Economic Modeling Specialists Intl.
Annual Job Openings
(Highly experienced workers can earn up to $161k)