Intro


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Intro


Introduction to Data Science with Python

This course is one of a suite of courses that make up our Fundamentals of Data Science for Social Scientists package for institutional purchase.

What you'll learn


What you'll learn


What you'll learn on this self-paced online course

This course will teach you to specialize in the Python programming language. You’ll master the fundamentals of Python and learn practical skills that are directly applicable to social science research.  

This course is ideal for beginners who to get started with Python.

If you would prefer to specialize in R we also offer Introduction to Data Science with R as part of the Fundamentals of Data Science for Social Scientists package for institutional purchase.

English
33 hours to learn

Instructor
Dr. Claudia von Vacano
Dr. Christopher Hench
Geoff Bacon

Price
This course is one of a suite of ten courses that make up our Fundamentals of Data Science for Social Scientists package for institutional purchase.
Find out more here.

Course modules


Course modules


  •  Functions

  •  Functions and Variable Scope

  •  Dictionaries

  •  Files

  •  Libraries

  •  Errors

  •  List Comprehensions

  •  Programming Style

  •  Introduction & Overview of Python

  •  Jupyter Notebooks

  •  Variable Assignment

  •  Data Types & Coercion

  •  Built-Ins

  •  Lists

  •  Loops

  •  Conditionals

Testimonials


Testimonials


 
 

Prerequisites


Prerequisites


Prerequisites

 

None, this course is suitable for all. A basic foundation in statistics would be helpful, but it is not essential.

FAQs


FAQs


How can I purchase this course?

This course comes in our Fundamentals of Data Science for Social Scientists package for institutional purchase, along with nine other courses. You can find out about and enquire about purchasing the full package here.

How long will my institution have access to the course?

Insitutions can purchase a 6 month subscription to the Fundamentals of Data Science for Social Scientists package that this course is part of. Learners will have full access to this and all of the other courses for the duration of the subscription.

How many learners can access the course?

Your institution’s subscription will be tailored depending on the number of learners you have. We can accommodate anything from 10-100 learners.

Can I try out the course first?

Yes! If you would like to see the courses before purchasing your institution’s subscription you can trial free demos of the courses. Simply ask for this when you make your enquiry.

Does my institution or our learners need to install any software?

Only if you want to! All that’s needed to complete the courses is a web browser and an internet connection. We do all our programming using JupyterHub, which means that you can code in your browser window.

Jupyter notebooks offer a seamless integration of code with explanatory markdown text. It will allow you to read the narrative of the programming task, and write code of your own to fit into the larger narrative. If you’d like to find out more about Jupyter notebooks, see our blog post 'What is a Jupyter notebook'.

However, if you wish to install R or Python, please do!

Do learners get a certificate?

All of our courses offer a certificate of completion signed by your instructor. You will be able to download this certificate, from the Learning Platform, when you complete the course.

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