Link to Content:

kaggle

Created/Published/Taught by:

Microsoft

Dr. Steve Elston

Dr. Cynthia Rudin

Content Found Via:

Data Science Essentials

Free? Partially: Some Free Content, Some Paid

Cost Range:

$0.00 - $99.00

Tags: data cleaning / data exploration / data visualization / machine learning / Microsoft Azure / probability / statistics

Content Type: Courses / Self-paced online course

Difficulty Rating:

Difficulty Rating:

from edX:

“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”

Recommended Prerequisites: "Familiarity with basic mathematics; introductory level knowledge of either R or Python."

Go to Content: Data Science Essentials

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