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Data Science Essentials, Certificate

Data Science Essentials, Certificate

  • Application Deadline
  • 42 days
    Duration
EdX is an online learning platform trusted by over 12 million users offering the Data Science Essentials Program in collaboration with MicrosoftX. Explore data visualization and exploration concepts with experts from MIT and Microsoft, and get an introduction to machine learning.

About

Demand for data science talent is exploding. Develop your career as a data scientist, as you explore essential skills and principles with experts from Duke University and Microsoft.

In this data science course, you will learn key concepts in data acquisition, preparation, exploration, and visualization taught alongside practical application oriented examples such as how to build a cloud data science solution using Microsoft Azure Machine Learning platform, or with R, and Python on Azure stack.

What you'll learn:

  • Explore the data science process
  • Probability and statistics in data science
  • Data exploration and visualization
  • Data ingestion, cleansing, and transformation
  • Introduction to machine learning
  • The hands-on elements of this course leverage a combination of R, Python, and Microsoft Azure Machine Learning

This Data Science Essentials Data Science Essentials 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 3 hrs/week
    • Duration description

      3-4 hours per week

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

Programme Structure

Explore the data science process – An Introduction
  • Understand data science thinking
  • Know the data science process
  • Use AML to create and publish a first machine learning experiment
  • Lab: Creating your first model in Azure Machine Learning Probability and statistics in data science
  • Understand and apply confidence intervals and hypothesis testing
  • Understand the meaning and application of correlation Know how to apply simulation
  • Lab: Working with probability and statistics
  • Lab: Simulation and hypothesis testing Working with data – Ingestion and preparation

Lecturers

  • Dr. Steve Elston
  • Cynthia Rudin

English Language Requirements

This programme requires students to demonstrate proficiency in English.

Academic Requirements

Prerequisites:

  • Familiarity with basic mathematics
  • Introductory level knowledge of either R or Python

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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