Data Science

Duration: 1 year

Course details

This is a one year preparatory course that allows you to progress to a degree in an engineering or technology subject if you don’t already have the appropriate qualifications. This course is academically challenging and vocationally orientated and will provide you with a range of knowledge, experience and skills. You’ll study core modules in technological subjects and specialist modules relevant to your choice of degree.

Classes you will attend

  • Understand the key concepts in data science, including their real-world applications and the toolkit used by data scientists

  • Explain how data is collected, managed and stored for data science

  • Implement data collection and management scripts using MongoDB

  • Demonstrate an understanding of statistics and machine learning concepts that are vital for data science

  • Produce Python code to statistically analyse a data set

  • Critically evaluate data visualizations based on their design and use for communicating stories from data

  • Plan and generate visualizations from data using Python and Bokeh

Entry requirements

  • To enrol in the program, you need at least six months of programming experience in SAS or another programming language. If you’re just getting started or need to brush up on your SAS programming skills, the SAS Programming for Data Science Fast Trackwill give you a good foundation.
  • We also recommend that you have at least six months of experience using mathematics and/or statistics in a business environment. You can get started with the Statistics 1: Introduction to ANOVA, Regression or Logistic Regressioncourse, which is available as an instructor-led or free online e-learning course.

Career possibilities

  • Data scientists would create the model that would help machines create those distinctions. They would be able to think through the types of data they need, from manually tagged photos to keywords in image captions.
  • Data engineers would engineer systems to source all of the image data and store it, as well as implement some of the algorithms determined by data scientists at scale.
  • Data analysts would query and present the business implications of the change. Did it please users? How much more traffic did Yelp generate due to the recent change? These are questions data analysts would ask– they would then communicate the insights they found.

Apply Now

If you need more information, please contact us on 020 3302 7144 or on our CONTACT page to discuss your requirements.