Business Analytics

The Intermediate Certificate in Business Analytics provides learners with a foundational understanding of the application of data and analysis in today’s global business environment. The curriculum covers essential topics such as Statistics, Data Analytics, Machine Learning and Predictive Analytics, and Data Analysis and Visualization. This program offers practical insights into leveraging advances in data collection, machine learning, and computational power to drive business decision-making.

Who Should Register

This certificate program is ideal for:

• Professionals seeking to enhance their skills in data analysis and business decision-making.
• Individuals looking to transition into data-driven roles in business analytics.
• Students aiming to build a foundation in analytics to support career growth in global business markets.

Why Choose Nexford

Nexford University delivers a learner-centered approach to education, with a commitment to providing skills that align with workforce demands. Key benefits include:

• Global Perspective: Prepare for data-driven roles in an interconnected world.
• Innovation: Benefit from cutting-edge learning tools and curricular design.
• Flexibility: Study on your schedule with a virtual, asynchronous program.
• Mission-Driven: As a Public Benefit Corporation, Nexford prioritizes public good over profit, creating accessible opportunities for learners worldwide.

Admission Requirements

Applicants must provide:

• Government-issued identification
• Passport-style photo or selfie
• Evidence of English language proficiency
• Official transcripts verifying:
  • Completion of a bachelor’s degree from an accredited institution or recognized international equivalent
  • High school completion or equivalent (e.g., GED or national exam certificate)

Additional Notes:

• Non-English documents must include official translations.
• Transcripts may be reviewed internally to validate self-certification data.

Required Courses

STA1300 Statistics

Statistics emphasizes the analysis of data collection and statistics through the use of current technology. This course introduces learners to statistical terms, distributions, displaying and interpreting of data collected (probability, validity and reliability), effect size, measures of central tendency (mean, median and mode) and determining statistical significance. Learners analyze hypothesis testing and apply statistical techniques.

BAN2100 Data Analytics

Advances in data collection, machine learning, and computational power have fueled institutional progress. The volume of available data has grown exponentially, and algorithms have continued to advance along with greater computational power and storage. As organizations become more inundated with data, having systems and processes in place to better understand and interpret data is highly important. This course focuses on how organizations can identify, evaluate and use data effectively. As consumers become increasingly savvy with their use of data, organizations need to change their responses. The use of data for all types of business from a large organization to a small retail shop will continue to become more sophisticated. This course provides an understanding of the data analysis process. Learners examine how technology has improved the ability to collect, analyze and interpret data, and they investigate data analysis tools and technologies to improve the decision making process.

BAN3200 Machine Learning and Predictive Analytics

Machine Learning and Predictive Analytics helps learners understand how in today’s global business markets organizations have the opportunity to reach a wider consumer base for their products, and as this consumer base expands, the need for a more sophisticated approach to data mining, analysis, and application is increasingly evident.

This Predictive Analytics course focuses on the use of predictive analytics and the use of machine learning to find patterns in data sets; the organizations that can better understand the data they collect along with being able to make predictive calculations from that data will gain competitive advantages in their respective markets. In this course learners examine the tools and techniques of predictive analytics and machine learning, including regression analysis, decision trees, and rule models. Learn predictive analytics, and gain a better understanding of how to predict outcomes from available data. Learners explore and examine data, apply predictive tools and techniques to predict outcomes from the data, and interpret the results for improved decision making during this predictive modelling course.

BAN4150 Data Analysis and Visualization

Data Analysis and Visualization helps learners understand how organizations collect, mine, analyze, and interpret data, and how it is important for organizations to understand their stakeholders and customize their data accordingly. At all levels of the organization, especially at the senior level, data must meet the needs of various stakeholders. In this course learners gain an understanding of how to use data analysis and visualization tools and techniques. Learners also acquire the fundamental skills for data analysis and visualization by examining and applying various tools and techniques including MS-Excel, Tableau, and Python to develop dashboards. Learners examine data, apply analysis and visualization tools, and leverage advanced techniques to display outcomes and interpret the results for improved decision making.

What You'll Learn

• With a business analytics certificate, gain a competitive edge with technical skills: apply predictive tools and techniques to predict outcomes, and interpret the results for improved decision making
• Gain soft skills of the future like critical and creative thinking
• Gain a competitive edge in a fast-changing world with hard skills like digital fluency and business analysis
• Make informed business decisions, and lead with confidence: 94% of Nexford learners increased in confidence at work
• Build a network of global professionals from 110+ countries working at firms like Google, Deloitte, and EY
• Earn a degree as well as digital badges as you go – including credentials from LinkedIn Learning