© 2024 LaurierFlow. All rights reserved.

Course Reviews

No Reviews With Body Yet

BU 425

Business Analytics

0%Liked

Easy

0%

Useful

0%

0 ratings

This course introduces techniques from data science, statistics and machine learning to analyze both large and small business data sets. These techniques are used to inform and guide business decisions from various functional areas including operations, marketing and finance. Prerequisites: One of: BU275, EC245, EC295, ST230, ST260, CO250 (UW), STAT230 (UW) Exclusions: BU495Q

This course introduces techniques from data science, statistics and machine learning to analyze both large and small business data sets. These techniques are used to inform and guide business decisions from various functional areas including operations, marketing and finance. Prerequisites: One of: BU275, EC245, EC295, ST230, ST260, CO250 (UW), STAT230 (UW) Exclusions: BU495Q

0%Liked

Easy

0%

Useful

0%

0 ratings

This course introduces techniques from data science, statistics and machine learning to analyze both large and small business data sets. These techniques are used to inform and guide business decisions from various functional areas including operations, marketing and finance. Prerequisites: One of: BU275, EC245, EC295, ST230, ST260, CO250 (UW), STAT230 (UW) Exclusions: BU495Q

BU 425

Business Analytics

0%Liked

Easy

0%

Useful

0%

0 ratings

This course introduces techniques from data science, statistics and machine learning to analyze both large and small business data sets. These techniques are used to inform and guide business decisions from various functional areas including operations, marketing and finance. Prerequisites: One of: BU275, EC245, EC295, ST230, ST260, CO250 (UW), STAT230 (UW) Exclusions: BU495Q

This course introduces techniques from data science, statistics and machine learning to analyze both large and small business data sets. These techniques are used to inform and guide business decisions from various functional areas including operations, marketing and finance. Prerequisites: One of: BU275, EC245, EC295, ST230, ST260, CO250 (UW), STAT230 (UW) Exclusions: BU495Q

0%Liked

Easy

0%

Useful

0%

0 ratings

This course introduces techniques from data science, statistics and machine learning to analyze both large and small business data sets. These techniques are used to inform and guide business decisions from various functional areas including operations, marketing and finance. Prerequisites: One of: BU275, EC245, EC295, ST230, ST260, CO250 (UW), STAT230 (UW) Exclusions: BU495Q

BU 425 Prerequisites

BU 275 (Min. Grade D-) or EC 245 (Min. Grade D-) or EC 295 (Min. Grade D-) or ST 230 (Min. Grade D-) or ST 260 (Min. Grade D-) or UW-Combinatorics&Opt 250W (Min. Grade D-) or UW-Statistics 230W (Min. Grade D-)

BU 425 Leads To

No Leads To Information Available

BU 425 Restrictions

Must be enrolled in one of the following Levels:

Undergraduate (UG)

Must be enrolled in one of the following Year Levels:

Year 4 (4)

Year 5 (5)

Course Schedule