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Fundamentals of Data Science (Technical), Certificate

  • Anytime
    Application Deadline
  • 1 month
    Duration
University rank #94 (BCR) Online
Enhance your data programming skills and knowledge with the Fundamentals of Data Science (Technical) from University of Southampton!
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Overview

Taught by industry-leaders using a hands-on approach to learning data skills, the Fundamentals of Data Science (Technical) course from University of Southampton will see you extend your knowledge and expertise across data mining, machine learning, and data visualisation to become a highly-skilled and effective data scientist.

The 6-week online and interactive Fundamentals of Data Science (Technical) course will enable you to:

  • Understand key concepts in data science and their real-world applications.
  • Explain how data is collected, managed and stored for data science.
  • Plan and generate visualisations from data using Python and Bokeh.
  • Work effectively with live data and utilise the opportunities presented by cloud services.

Detailed Programme Facts

  • Programme intensity Part-time
    • Average part-time duration 1 months
    • Duration description

      60 hours (across 6 weeks)

  • Languages
    • English
  • Delivery mode
    Online

Programme Structure

Topics include:

  • Welcome and introduction to the course
  • What data science is and why it’s important
  • A ‘hands-on’ Jupyter familiarisation activity
  • Python Primer
  • Glossary of terminology
  • The data science process
  • A data science toolkit
  • Types of data and example applications

Audience

Anyone wanting to start their career in Data Science, or looking to learn how to apply the powerful techniques of Data Science to their current business challenges

English Language Requirements

This programme may require students to demonstrate proficiency in English.

General Requirements

A decent understanding of programming is required; some experience with Python or with a similar language is recommended.

Tuition Fee

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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