What will you learn?
We crafted the course content based on industry and real-world skill requirements, considering skill-gaps, to ensure that our graduates’ skill-sets set them up for a long-term career in tech, graduating ready to be employed.
You’ll be equipped with a blend of technical and personal skills that will propel your career. More specifically, you’ll become an expert in Python, Pandas, key algorithms, modelling and Keras.
Week 1 – Python Fundamentals
Our introductory week on the course begins by looking at your first language Python. You will learn the fundamentals of Python, building simple scripts and how to develop more complex applications.
Week 2 – Python Fundamentals second week
You will learn the fundamentals of Python, building simple scripts and how to develop more complex applications.
Week 3 – Data Science Fundamentals
This week we will look at the theories and principles behind data science, why we need and how we use it within industry. We will also briefly look at Azure during this week and how it can be used within data science.
Week 4 – Python libraries for data science Pandas/Numpy
This week you will learn about the python libraries Pandas and Numpy and how these are used in Data manipulation.
Week 5 – Python Libraries for data science Keras and Scikit
This week you will learn about two further key libraries for use within data science and how they can be used to analyse data. This will will also include sessions on neuro networks and network topology.
Week 6 – Modelling and Algorithms for Data Science
This week we will focus on the maths for Data Science, specifically looking at classical algorithms and modelling techniques.
Week 7 – Databases and Big Data
This week focus’s on the key ideas around databases using SQL and also the concept of big data and data mining.