Microsoft Professional Capstone: Data Analysis

Tom Carpenter, Microsoft

Showcase the knowledge you acquired in the Data Analysis MPP in this Capstone. Apply your skills to a real-world data set to solve analytics problems and deliver analyses and analytic artifacts that are tested and scored to determine your grade.

This Capstone uses a data set from a real-world scenario.

The data set is from April 2015 when a 7.8 magnitude earthquake with an epicenter in the Gorkha District of Nepal devastated the surrounding area.

Using the provided data on buildings in the affected area and how they were impacted by the earthquake, we ask students to examine how the buildings' ages, sizes, and materials were correlated to the amount of damage they underwent during the quake.

Students will be required to showcase the multiple skills they learned throughout the courses taken during the Data Analysis MPP.

The Capstone is organized into three different areas for students to present their skills. The first area is for students to showcase their ability to analyze the data set by answering statistical multiple-choice questions using the statistical program of their choice. The second area is for students to create an analytic report that examines the data set and answers three questions. The third area is optional and is for students to showcase their skills using and creating a dashboard in Power BI.

Note: It is recommend for students to complete all required courses in the Data Analysis MPP track before starting this capstone course.

What will you learn

This capstone asks that students:

  • Analyze the data and crunch the numbers
  • Create a Power BI dashboard(optional)
  • Find trends and explore analytic patterns in the data
  • Create a multi-slide analytic report from the data

Dates:
  • 1 December 2019
Course properties:
  • Free:
  • Paid:
  • Certificate:
  • MOOC:
  • Video:
  • Audio:
  • Email-course:
  • Language: English Gb

Reviews

No reviews yet. Want to be the first?

Register to leave a review

Show?id=n3eliycplgk&bids=695438
NVIDIA
More from 'Mathematics, Statistics and Data Analysis':
34ea79ed-b0c4-4a12-aeb6-64a5b507607a-6d1e5b2a57c3.small Machine Learning with Python: A Practical Introduction
Machine Learning can be an incredibly beneficial tool to uncover hidden insights...
Aef78d25-e1c8-4295-bc8e-7fbd88a0b653-8209bd2d113d.small Analyzing and Visualizing Data with Excel
Develop your skills with Excel, one of the common tools that data scientists...
1bda401c-840c-4316-b3b6-e9357f26ad92-f847fa588aa0.small Analyzing and Visualizing Data with Power BI
Learn Power BI, a powerful cloud-based service that helps data scientists visualize...
F89c9ea8-b0ad-4c0c-8347-1b61dbd25125-da5ec9fe99cb.small Introduction to Python for Data Science
The ability to analyze data with Python is critical in data science. Learn the...
042fe5b1-e084-4a0a-a375-0e24659894b3-60894bc7096e.small Introduction to R for Data Science
Learn the R statistical programming language, the lingua franca of data science...
More from 'edX':
1be12d1c-d5d8-4bb9-9bca-25eabff083d8-16c9f3f41943.small IMAGE | ABILITY - Visualizing the Unimaginable
Enhance your communication skills and learn how to illustrate your thoughts...
Ba8f951f-781c-4192-a4f3-2ad4a07f602b-a8faeefd3ac6.small Models in Architecture – design through physical & digital models
Learn to develop your architectural designs by using scale models as well as...
A8363784-5415-477c-a9b8-6f1acbb8519b-2f101fd111fc.small Buyer Behaviour and Analysis
Learn how to analyse and apply consumer and buyer behaviour fundamentals to...
34ea79ed-b0c4-4a12-aeb6-64a5b507607a-6d1e5b2a57c3.small Machine Learning with Python: A Practical Introduction
Machine Learning can be an incredibly beneficial tool to uncover hidden insights...
55eacb7a-8b3a-49a1-be9b-68dbde83ded3-9ad338bf5609.small What do Architects and Urban Planners do?
Discover how spatial design professionals make a difference in society Are you...

© 2013-2019