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Certificate in Business Analytics

The Business Analytics Certificate Program gives professionals a hands-on opportunity to apply analytics to real-world problems and situations. Students learn strategies for leveraging “Big Data” and predictive modeling to drive smart business decisions.

Business Analytics

Program Courses

To earn a certificate in Business Analytics, you must complete the four core courses. There is no admissions process for the Certificate in Business Analytics. Start the path toward your certificate by registering for your first course below.




Professional Development Programs

Business Analytics Program
BUS_ANLY 201-DL Intro to Business Analytics *Core Course

This course focuses on building the programming and analytics skills necessary to build analytics solutions to business problems. The course begins with a general introduction to the subject of business analytics: what it is, how does it add value in an organization, and what are characteristics of organizations which successfully use analytics to drive operations. Using that as a foundation for later thought and action, the course moves into the fundamentals of programming using the mathematical and analytics language R. Through a mix of online content and student activities, the concepts of how to program in R are delivered. Students perform weekly activities including discussion boards, quizzes and assignments as well as exploration of the larger online data science and analytics community to prepare for applying analytics to business scenarios. The course wraps up with application of the analytics skills to reading and understanding business cases and a review of how hypothesis testing can be applied in business situations to promote better operations and results.


Prerequisite knowledge: Students should have a basic understanding of statistics concepts including:

   - Descriptive statistics
   - Probability
   - Normal distribution and its applications
   - Statistical inference


Tuition:
$1995

Fall 2017 Sec #50 (201-DL)


Schedule Notes:

This course is offered exclusively ONLINE.


Course Materials:

Course Materials:

Peng, R. (2014-15). R Programming for Data Science. Leanpub.
http://leanpub.com/rprogramming

Lane, D., Scott, D., Hebl, M., Guerra, R., Osherson, D., and Zimmer, H. Introduction to Statistics
http://onlinestatbook.com/2/index.html

Start/End Dates Day Time Building
10/08/17 - 12/03/17 Optional Sync Days: TBA
Instructor Location Status CAESAR Course ID
Online Closed 18137
BUS_ANLY 203-DL Advanced Modeling Methods *Core Course

Advanced Modeling Methods gives business analysts the foundation and tools to implement various prediction algorithms that will allow them to make better data driven decision for their business. This course places emphasis on modeling techniques to gain insight into hidden data patterns while using the technology stack of R. Topics covered will include various classification algorithms such as Cluster Analysis, Neural Networks, Discriminant Analysis, and Support Vector Machines. Students will also be introduced to various topics in Time Series, and other statistical based methods including Principal Component Analysis and Affinity Analysis. Lastly, students will learn about the structure of Networks and how tools such as Sentiment Analysis can provide valuable insight into their customer base.

 

Students must complete BUS_ANLY 201 and BUS_ANLY 202 before registering for this course.

 


Tuition:
$1995

Fall 2017 Sec #50 (203-DL)


Schedule Notes:

This course is offered exclusively ONLINE.


Course Materials:

All course materials will be provided via the online course site.

Start/End Dates Day Time Building
10/08/17 - 12/03/17 Asynch
Instructor Location Status CAESAR Course ID
Online Open 18138
BUS_ANLY 303-DL Risk Analytics *Elective

Building upon probability theory and inferential statistics, this course provides an introduction to Risk Analytics. Examples from Economics, Finance, Systems Engineering, and Supply Chain Management will show students how to implement risk models using some of the algorithms and methods that have been covered in the BA Certificate curriculum, and additional algorithms and methods will be introduced. The material in this course will teach students how to make use of advanced probability distributions, simulations, and other multidimensional methods to quantify expected values and translate them into business settings so that managers may make more informed decisions.

 

PREREQUISITES: Students MUST have completed BUS_ANLY 203-DL Advanced Modeling Methods or have comparable knowledge of the material. Please email pdp@northwestern.edu for a complete list of requisite knowledge.


Tuition:
$1995

Fall 2017 Sec #50 (303-DL)


Schedule Notes:

This course is offered exclusively ONLINE.

Start/End Dates Day Time Building
10/08/17 - 12/03/17 Optional Sync Days: TBA
Instructor Location Status CAESAR Course ID
Online Cancelled 18349