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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)
Add to Cart


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 Course Sync Time Building
10/08/17 - 12/03/17 Asynch
Instructor Course Format Status CAESAR Course ID
Online Open 18137
BUS_ANLY 202-DL Modeling Methods *Core Course

This course introduces students to applying predictive models in business areas such as marketing, finance, supply chain, etc. The course aims to provide a hands-on approach to teach students about models that are frequently applied to make informed business decisions. Students will learn regression and classification methods – based on ordinary least squares based regression, logistic regression, and multinomial logit, and classification and regression trees. Student will learn how to implement these methods in the R statistical programming language. The course format is a combination of textbook readings, Video sessions, group discussions, and online lectures from faculty. Weekly quizzes and programming assignments using R will be used to reinforce both concepts and practice.


PREREQUISITES: Students must complete BUS_ANLY 201-DL before registering for this course.


Tuition:
$1995

Summer 2017 Sec #50 (202-DL)


Schedule Notes:

This course is offered exclusively ONLINE.

Start/End Dates Course Sync Time Building
07/08/17 - 08/26/17 Optional Sync Sa
Instructor Course Format Status CAESAR Course ID
Online Closed 41470
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)
Add to Cart


Schedule Notes:

This course is offered exclusively ONLINE.


Course Materials:

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

Start/End Dates Course Sync Time Building
10/08/17 - 12/03/17 Asynch
Instructor Course Format Status CAESAR Course ID
Online Open 18138
BUS_ANLY 204-DL Analytics Communication and Management *Core Course

In this section we will focus the keys to becoming a predictive analytics enabled organization. Next we will examine how to take the results from data mining and predictive analytics to create powerful and convincing visual analytics. We will focus on creating info graphics, PowerPoint presentations, Dashboarding software and writing simple code in R to create powerful charts and infographics. We will also learn methods to create lasting impact on the audience while designing such infographics, visuals and dashboards. We will learn different examples from the industry on the best practices. Lastly, we will examine how an organization can use predictive analytics as a competitive advantage and the privacy and security concerns that may accompany that transformation.

 

Students CAN take this course out of sequence (before completing BUS_ANLY 201, 202, 203).


Tuition:
$1995

Summer 2017 Sec #50 (204-DL)


Schedule Notes:

This course is offered exclusively ONLINE.

Start/End Dates Course Sync Time Building
07/09/17 - 08/27/17 Asynch
Instructor Course Format Status CAESAR Course ID
Online Closed 41471
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 Course Sync Time Building
10/08/17 - 12/03/17 Asynch
Instructor Course Format Status CAESAR Course ID
Online Closed 18349