Programming with Python for Data Science, Certificate

Programming with Python for Data Science, Certificate

  • Application Deadline
  • 42 days
    Duration
EdX is an online learning platform trusted by over 12 million users offering the Programming with Python for Data Science Program in collaboration with MicrosoftX. Traverse the data analysis pipeline using advanced visualizations in Python, and make machine learning start working for you. 

About

This practical course, developed in partnership with Coding Dojo, targets individuals who have introductory level Python programming experience. The course teaches students how to start looking at data with the lens of a data scientist by applying efficient, well-known mining models in order to unearth useful intelligence, using Python, one of the popular languages for Data Scientists. Topics include data visualization, feature importance and selection, dimensionality reduction, clustering, classification and more! All of the data sets used in this course are gathered live-data or inspired by real-world domains that can benefit from machine learning. 

This Programming with Python for Data Science Programming with Python for Data Science course is part of the Microsoft Professional Program Certificate in Data Science offered at MicrosoftX MicrosoftX.

Detailed Programme Facts

  • Deadline and start date Application deadline and start date were not specified by the programme.
  • Programme intensity Part-time
    • Average part-time duration 42 days
    • Intensity 9 hrs/week
    • Duration description

      6 weeks

  • Languages
    • English
  • Delivery mode
    Online
    • Time flexibility
      Self-paced

Programme Structure

What you'll learn:
  • What machine learning is and the types of problems it is adept to solving
  • How to represent raw data in a manner conducive to deriving valuable information
  • How to use various data visualization techniques
  • How to use principal component analysis and isomap intelligently to simplify your data
  • How to apply supervised learning algorithms to your data, such as random forest and support vector classifier
  • Concepts such as model selection, pipelining, and cross validation

Lecturers

  • Authman Apatira - Lead Instructor
  • Jonathan Sanito - Senior Content Developer

English Language Requirements

This programme requires students to demonstrate proficiency in English.

Tuition Fee

  • International Applies to you

    99 USD/full
    Tuition Fee
    Based on the original amount of 99 USD for the full programme and a duration of 42 days.
  • National Applies to you

    99 USD/full
    Tuition Fee
    Based on the original amount of 99 USD for the full programme and a duration of 42 days.
We've labeled the tuition fee that applies to you because we think you are from and prefer over other currencies.
  • 5% discount coupon: Z7LZNQ4TN3B2JTWU valid for any free course + certificate upgrade

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.

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