$995 – $1,095

Data Science for Business Leaders Online (May Session)

Event Information

Share this event

Date and Time

Location

Location

This is an online event

Online

View Map

Refund Policy

Refund Policy

No Refunds

Event description

Description

The Data incubator's Data Science for Business Leaders course is a part-time, online program geared towards giving working professionals the skills needed to bridge technical and business teams within an enterprise. Developed with feedback from our hundreds of industry partners and based on the same rigorous methodology as our Fellowship, our course gives students the skills needed to become successful "data translators" who can communicate effectively with both technical and non-technical stakeholders.

This course covers topics in big data, data science, analytics, and AI that every data translator should know. We discuss foundational concepts, tools, and applications of data science and machine learning through a series of lectures and case studies.

Classes will be held from 3 - 5 PM ET (12 - 2 PM PT) each day. Classes will be held on the following dates: 5/20, 5/21, 5/22, 5/23

The deadline to register is 11:59 PM ET on 5/15/2019.



Course Content


Prerequisites:

No technical background is required.


This course is for you if:

  • You work with data scientists or analysts regularly

  • You manage teams or projects with a significant data component

  • You find yourself translating between data and management


Upon completion of this course, participants will be able to apply their knowledge of data science to:

  • Identify and prioritize which projects a company should pursue

  • Identify potential pitfalls in projects before they start

  • Communicate business objectives to data professionals

  • Understand the business implications of technical decisions and be able to assess the risk-reward trade-offs of different projects

  • Translate data science insights to business professionals and decision makers



FAQs

Do I need to attend the live lectures?

All lectures are recorded and shared with the class, so you can catch up whenever your schedule allows.

What is the refund policy?

Unfortunately, there are no refunds available.


About the instructor:

Richard Ott studied physics at the University of Maryland, then received a PhD in particle physics at MIT. His research involved lots of computation and large data sets, and he eventually made the switch to industry as a software developer and data scientist. As a graduate student, Rich taught extensively and won several teaching awards; as a Data Scientist in Residence he is involved in course development and teaching.


Share with friends

Date and Time

Location

This is an online event

Online

View Map

Refund Policy

No Refunds

Save This Event

Event Saved