• Anytime
    Application Deadline
  • 35 days
    Duration
EdX is an online learning platform trusted by over 12 million users offering the Foundations of Data Science - Computational Thinking with Python in collaboration with University of California, Berkeley - UC BerkeleyX. Learn the basics of computational thinking, an essential skill in today’s data-driven world, using the popular programming language, Python.

About

We live in an era of unprecedented access to data. Understanding how to organize and leverage the vast amounts of information at our disposal are critical skills that allow us to infer upon the world and make informed decisions. This course will introduce you to such skills.

To work with large amounts of data, you will need to harness the power of computation through programming. This Foundations of Data Science - Computational Thinking with Python course part of the Professional Certificate Foundations of Data Science at University of California, Berkeley - UC BerkeleyX teaches you basic programming skills for manipulating data. You will learn how to use Python to organize and manipulate data in tables, and to visualize data effectively. No prior experience with programming or Python is needed, nor is any statistics background necessary.

The programme

The examples given in the course involve real world data from diverse settings. Not all data is numerical – you will work with different types of data from a variety of domains. Though the term “data science” is relatively new, the fundamental ideas of data science are not. The course includes powerful examples that span the centuries from the Victorian era to the present day.

This course emphasizes learning through doing: you will work on large real-world data sets through interactive assignments to apply the skills you learn. Throughout, the underlying thread is that data science is a way of thinking, not just an assortment of methods. You will also hone your interpretation and communication skills, which are essential skills for data scientists.

Detailed Programme Facts

  • Deadline and start date A student can apply at any time for this programme, there is no deadline.
  • Programme intensity Part-time
    • Average part-time duration 35 days
    • Part-time variant
      Flexible
  • Languages
    • English
  • Delivery mode
    Online
    • Time flexibility
      Self-paced
  • More information Go to the programme website

Programme Structure

What you will learn

  • Basics of the Python programming language, and how to use it as a tool for data analysis
  • How to use computation to help your data tell a story
  • Fundamental principles and methods of visualization
  • How to use tools widely used by data scientists, such as Jupyter Notebooks

English Language Requirements

This programme may require students to demonstrate proficiency in English.

Tuition Fee

  • International

    99 USD/full
    Tuition Fee
    Based on the original amount of 99 USD for the full programme and a duration of 35 days.
  • National

    99 USD/full
    Tuition Fee
    Based on the original amount of 99 USD for the full programme and a duration of 35 days.
We've labeled the tuition fee that applies to you because we think you are from and prefer over other currencies.

Funding

Check the programme website for information about funding options.

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.

The Global Study Awards: get funded with up to £10,000 to study abroad

Together with the ISIC Association and British Council IELTS, Studyportals offers you the chance to receive up to £10000 to expand your horizon and study abroad. We want to ultimately encourage you to study abroad in order to experience and explore new countries, cultures and languages.

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