Certificate in Business Analytics
Elevate your ability to discern meaningful insights from your organization's data with a Business Analytics Certificate. This program is uniquely designed for non-data scientists who seek to leverage big data for practical, impactful decision-making.
Participants will develop the skills to harness the power of big data, moving beyond traditional data processing methods to extract valuable, actionable insights. In today’s data-driven world, the ability to navigate and interpret large volumes of data is essential. However, the true challenge lies in transforming this data into timely, actionable business insights—a primary objective of our Business Analytics Certificate.
The certificate program addresses this challenge through comprehensive training in data collection and visualization, predictive modeling, and effective communication. Led by industry experts, the curriculum ensures that you gain in-demand skills crucial for bridging the gap between technical data analysts and other stakeholders within your organization.
Key Features:
- Focus on Non-Data Scientists: Tailored for professionals who are not data scientists but need to consume and communicate data effectively.
- Industry Expert Faculty: Learn from leading experts who bring real-world experience and insights to the classroom.
- Flexible Asynchronous Schedule: Study at your own pace with a schedule designed to accommodate working professionals.
Upon completion of the Business Analytics Certificate, you will be well-equipped to translate complex data into strategic business advantages, helping your organization make informed, data-driven decisions.
This certificate bridges the technical world of data analysis and the strategic needs of your organization, empowering you to turn data into a powerful tool for business success.
| Winter 2024 | Registration opens: |
|---|---|
| BUS_ANLY 202-DL Modeling Concepts | November 11, 2024 |
About the Certificate in Business Analytics
- Program Goals
- Business Analytics Audience
- Program Courses
- Business Analytics Certificate Requirements
- Tuition and Financial Aid
- Business Analytics Career Options
- Related Professional Development Programs at SPS
- Find out more about Northwestern's Certificate in Business Analytics
- Contact an Enrollment Adviser
- Business Analytics Course List
- Graduate-level Corporate Data Science Training
Program Goals
In this certificate program students gain a practical understanding of how to use the business analytics process to harness the power of big data to gain actionable business insights.
Goals of the Business Analytics Certificate Program include:
- Synthesize the lifecycle process engineering of data management and predictive analytics including defining a problem, analyzing and solving the problem, and communicating and acting on results
- Develop skills to apply predictive analytics techniques to gain powerful business insights
- Interpret insights into the latest market trends using illustrative examples that depict real world cases
- Explore the art and science of smart visualization techniques of large-scale data objects
- Explain in a broad sense data governance and management issues affecting privacy, security, compliance, audit, storage and ownership
- Frame business problems in analytical terms and formulate the deliverables commensurate with an affinity for analytical thinking, data metrics, process engineering and visualization
- Identify required skills in strategy development, project management, execution, decision making and presentation applicable to business analytics.
Business Analytics Certificate Audience
The Certificate in Business Analytics Online Program is designed for professionals and managers who regularly consume analytics in their normal course of business, work with partners that create or utilize analytics, or manage a team of analytics professionals, but may not be an analyst themselves. Students in the program's business analytics courses will learn the foundations of business analytics at the strategy level, basic statistics and modeling concepts, and how to effectively present results and tell a story with data. There will be no programming required for the curriculum, but supplementary coding material will be provided for those who are interested in exploring those details as well.
Upon completion of the Certificate in Business Analytics program, students will be able to:
- Apply analytics tools to real-world business scenarios for improved decision-making
- Assess the strengths and limitations of various analytics and predictive modeling techniques for different business applications and varying data conditions
- Acquire hands-on experience working with leading statistical tools and software packages in predictive modeling and the visual analysis of results
- Effectively communicate the actionable insights stemming from analytical work to multiple stakeholders
- Strategically navigate technology tools and trends to solve big data and analytics problems
- Manage data strategies and analytical projects
Program Courses
Explore all the Business Analytics Courses for detail on the program's offerings.
Business Analytics Certificate Requirements
To earn a Certificate in Business Analytics students must complete three online core courses. You must take Intro to Business Analytics (BUS_ANLY 201) and Modeling Concepts (BUS_ANLY 202) in order, but may take Data Visualization, Communication, and Storytelling (BUS_ANLY 204) whenever it is offered.
Business Analytics Courses
- Introduction to Business Analytics (BUS_ANLY 201-DL)
- Modeling Concepts for Business Analytics (BUS_ANLY 202-DL)
- Data Visualization, Communication, and Storytelling (BUS_ANLY 204-DL) - can be taken out of sequence)
Tuition and Financial Aid
Tuition for each course in the Business Analytics certification program is $2,075. The total tuition for the three core courses is $6,225. Complete details can be found on the Business Analytics Tuition and Financial Aid page.
Business Analytics Career Options
Read more on the Business Analytics Career Options page.
Related Professional Development Programs at SPS
Learn more about the Certificate in Agile Practices.
Find out more about Northwestern's Certificate in Business Analytics
Contact an Enrollment Adviser
An Enrollment Adviser at Northwestern University School of Professional Studies can help with any inquiries regarding our certificate programs.
Graduate-level Corporate Data Science Training
- Let us assess your training needs. We will work with you to evaluate your needs and tailor a program that meets your schedule and budget.
- Your team members will learn together in small online classes and build the skills needed to implement consistent, high-level best practices across your organization.
- You can increase the decision-making and forecasting ability of your organization without adding new positions.
Business Analytics Course List
| Core Courses: | Course Detail |
|---|---|
| Intro to Business Analytics <> BUS_ANLY 201-DL | Data and analytics are fundamental in the solving of business and organizational problems. Mastering these practices requires a well-rounded introduction, regardless of whether you are performing the analysis or implementing the results. Introduction to Business Analytics provides a solid foundation by beginning with basic principles in data modeling and intelligent information. We then continue with how to define business goals, various techniques for collecting and preparing data, different types of analysis and predictive models, and effective ways of communicating results. The course will discuss many of the latest technology trends applicable to big data and predictive analytics, and includes examples from real use cases to provide a comprehensive, innovative, and practical approach to tackle business analytics problems. Students will also learn strategies to successfully approach stakeholders within an organization with analytic information while navigating the ethical, regulatory, and compliance issues related to the use of data analytics.
Content / Topics Analytics Terminology, Methodology and Tools (with Statistical
Concepts)
Registered students can access their online course site here. An activated NetID and password is required for login. *Please note: It may take up to 24-hours for registered students to be added to the online course platform. View BUS_ANLY 201-DL Sections |
| Modeling Concepts <> BUS_ANLY 202-DL | Modeling Concepts for Business Analytics is tailored to the needs of non-practitioners who interact with statisticians and data scientists, including managers, technology partners, and business users. We will present the basic statistical and machine learning techniques that are used by data scientists to analyze and model data, but will not spend time on the intricate details of each model or how they are coded. Instead, students will learn the basics of each technique with an emphasis on understanding what the algorithm does, what it is used for, and the pros and cons of each. We will also cover best practices for managers and information technology professionals who are upstream or downstream from the analysts. Course Objectives By the end of this course, students will be able to:
Students must complete BUS_ANLY 201-DL before registering for this course.
Registered students can access their online course site here. An activated NetID and password is required for login. *Please note: It may take up to 24-hours for registered students to be added to the online course platform. View BUS_ANLY 202-DL Sections |
| Data Visualization, Communication, & Storytelling <> BUS_ANLY 204-DL | This course is designed to empower professionals with the skills to integrate business analytics into their organization’s decision-making processes, enhancing competitive advantage and value creation. Tailored for individuals who are not data scientists but need to effectively consume and communicate data and analytics, this course covers essential topics including promoting analytical thinking, building consensus, and adopting smart metrics for project development, implementation, evaluation, and monitoring. A strong emphasis is placed on the visual display of data and the effective communication of complex analytical results to diverse audiences, including clients, staff, non-technical leaders, and senior management. Participants will explore various dashboarding and graphics technologies and will work with real-world examples from industries such as finance, healthcare, retail, government, marketing, and sales. Students will gain hands-on experience in making the case for analytics, presenting their findings, and demonstrating the added value and competitive edge derived from their insights. Each student will receive a 3-month license for Tableau, the leading platform for data exploration and management, featuring generative AI capabilities for accelerated value and reduced repetitive tasks. Upon expiration, the license can be renewed at the student rate for an additional year. Course Objectives By the end of this course, students will be able to:
View BUS_ANLY 204-DL Sections |
| Elective Courses: | Course Detail |
|---|---|
| Advanced Modeling Methods BUS_ANLY 203-DL | 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.
PREREQUISITES: Students must complete BUS_ANLY 201 and BUS_ANLY 202 before registering for this course.
Registered students can access their online course site here. An activated NetID and password is required for login. *Please note: It may take up to 24-hours for registered students to be added to the online course platform.
View BUS_ANLY 203-DL Sections |