Python for Data Science, Certificate | Part time online | edX - online learning platform | United States
70 days
Duration
350 USD/full
350 USD/full
Unknown
Tuition fee
Anytime
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Apply date
Anytime
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Start date

About

EdX is an online learning platform trusted by over 12 million users offering the Python for Data Science Certificate in collaboration with University of California, San Diego - UC San DiegoX. Learn to use powerful, open-source, Python tools, including Pandas, Git and Matplotlib, to manipulate, analyze, and visualize complex datasets.

Visit the Visit programme website for more information

Overview

Key facts 

In the information age, data is all around us. Within this data are answers to compelling questions across many societal domains (politics, business, science, etc.). But if you had access to a large dataset, would you be able to find the answers you seek?

The Python for Data Science Certificate, part of the Data Science MicroMasters Program from EdX in partnership with University of California, San Diego - UC San DiegoX, will introduce you to a collection of powerful, open-source, tools needed to analyze data and to conduct data science. 

Specifically, you’ll learn how to use:

  • python
  • jupyter notebooks
  • pandas
  • numpy
  • matplotlib
  • git
  • and many other tools.

You will learn these tools all within the context of solving compelling data science problems.

After completing this course, you’ll be able to find answers within large datasets by using python tools to import data, explore it, analyze it, learn from it, visualize it, and ultimately generate easily sharable reports. 

By learning these skills, you’ll also become a member of a world-wide community which seeks to build data science tools, explore public datasets, and discuss evidence-based findings. Last but not least, this course will provide you with the foundation you need to succeed in later courses in the Data Science MicroMasters program.

Programme Structure

What you'll learn

  • Basic process of data science

  • Python and Jupyter notebooks

  • An applied understanding of how to manipulate and analyze uncurated datasets

  • Basic statistical analysis and machine learning methods

  • How to effectively visualize results

Key information

Duration

  • Part-time
    • 70 days
    • 8 hrs/week

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online
  • Self-paced

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

Prerequisites

  • Previous experience with any programming language (Java, C, Pascal, Fortran, C++, Python, PHP, etc.) is expected. This includes a high school, or undergraduate equivalent, to an introduction to computer science course. Learners should be comfortable with loops, if/else, and variables.

Tuition Fee

To always see correct tuition fees
  • International

    350 USD/full
    Tuition Fee
    Based on the tuition of 350 USD for the full programme during 70 days.
  • National

    350 USD/full
    Tuition Fee
    Based on the tuition of 350 USD for the full programme during 70 days.
  • Unlimited access + verified certificate: $350
  • Limited access: free

Funding

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