Flexible learning
Online postgraduate courses
Programming in Python
This course introduces programming in Python. It covers the basics of programming skills, including data types, variables, loops and functions. Further, the course covers common Python libraries and frameworks for data manipulation, visualisation, and machine learning.
This module can be taken as part of a PG Certificate, PG Diploma or Full Masters Program.
- 10 Credits
- 100 hours of study
- 15 contact hours
- 85 hours for private study
Faculty
Structure
Structure
Programming in Python is an elective 10 credit course and therefore students are expected to input approximately 100 hours of study into the course.
The total number of contact hours is 15 hours. This leaves 85 hours for private study.
Lectures
Course Delivery comes in the form of Lectures with 15 hours delivered over the first 3 weeks of the term (10 hours of lectures and 5 hours of tutorials).
There will be optional clinics on the last day of the course.
The dates of each lecture are confirmed closer to the start of each term. If you have any questions about dates, please contact edu@timberlake.co.uk.
Python
Module Programme
Introduction to Python
- Introduction to Python
- Python Installation
- Introduction to Shell / Google Collab
- Instructions and indenting
Data Structures
- Data types in Python: numbers, strings, lists, sets, tuples and dictionaries
- Defining and using variables in Python
- Basic operations and manipulations on data types
- Introduction to DataFrames
Control Structures and Loop
- Conditional statements
- Control structures
- For and while loops
- Imbricated loops
Functions and modular programming
- Defining and using functions and classes in Python
- The importance of modularity and code organisation
- Importing and using modules and libraries
Introduction to Data Visualization and Machine Learning
- Introduction to the scikit-learn library for machine learning in Python
- Pandas and Matplotlib
- Simple examples of data science with Python
Prerequisites
English Language Requirements
Both Programmes are open to applicants anywhere in the world. We may ask applicants to provide a recognised English language qualification, dependent upon their nationality and where they have studied/worked previously.
The requirement is an IELTS (Academic) Test with an overall score of at least 6.5, and a minimum of 6.0 in each element of the test. We will also consider other English language qualifications. If their score is below our requirements, they may be eligible for one of Lancaster University's pre-sessional English language programmes.
Academic Requirements
Applicants to the Postgraduate Certificate of Achievement, Postgraduate Certificate, Postgraduate Diploma or full MSc in either programme require either an upper second-class degree in economics, econometrics or related subjects.
Learning Outcomes
- Python Proficiency: Mastery of Python programming for data science.
- Data Science Basics: Fundamental concepts and skills for data science in Python.
- Library Competence: Efficient use of key Python libraries for data science.
- Practical Application: Applying Python to real-world data science tasks.
- Versatile Python Use: Adapting Python for diverse data science applications.
- Effective Coding Practices: Writing efficient and effective Python code
- Present, interpret and analyse information in numerical form and use econometric and otherpackages effectively;
- Master the programming tools and important libraries for data science.
Frequently Asked Questions
All sessions are conducted live and online at a scheduled time, but are also recorded. Students may attend live and watch the recordings back to recap the material or watch the recordings only if unable to attend live. We always advise students to attend live where possible as this will allow them the best opportunity to engage with the content and ask the lecturer's questions.
All modules are examined through online coursework submissions, you will have the support of your module lecturer/tutor in this poccess.
No, all necessary software is provided to students.
All courses are recorded and available on the LUMS internet platform throughout the current academic year. They can therefore be viewed 24 hours a day.
Timberlake Consultants and Lancaster University Management School (LUMS) Economics department have a longstanding partnership; combining 40+ years of industry expertise with over 50 years of academic excellence. We are delighted to build on this with our micro-credential postgraduate courses.
Flexible learning
Online postgraduate courses
Specialist courses
Best-in-field experts
Tailored learning
Career-oriented education
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Flexible learning
Online postgraduate courses
Specialist courses
Best-in-field experts
Tailored learning
Career-oriented education