Online Certificate in Data Analytics for Business

Highly successful businesses have shown that strategic business decisions need to be driven by data analyses. The ability to gather information from data is an in-demand skill that is valuable in any industry. This is why data analytics is among the fastest-growing professions today. Data analysis requires more than relying on reports and statistical analysis. It requires a balance of technical skills and analytical abilities to determine clear, actionable business solutions.

This certificate program covers a wide array of topics; students will learn the fundamental concepts behind collecting, storing, and analyzing data. Through descriptive, predictive, and prescriptive analytics, students will also learn how to utilize analytic tools and models to reliably forecast trends and behaviors, effectively utilize visualization tools, and create effective strategies.

Career Insight

Occupational summary for operations management analysts in the United States.
Source: Economic Modeling Specialists Intl.

• Jobs: 713,451 (2019)
• Projected Growth: 13.6% (2019-2029)
• Annual Salary: $83k-$152k (25th-75th Percentile)

Program Benefits

• Define appropriate business goals for implementing better data-driven decisions.
• Develop actionable plans from existing corporate data and initiatives to evaluate the effectiveness of current strategies.
• Create and explain data visualizations to support data understanding.
• Perform data analysis on various data sets using industry-standard tools.
• Utilize a variety of analytics techniques for model training and validation.
• Collect, select, describe, profile, and prepare data from various sources for analysis.
• Explain the differences between descriptive, predictive, and prescriptive analytics and how each fits into the data analytics workflow.
• Develop plans to deploy analytics models, including monitoring, maintenance, and formal review of the project.
• Create decision plans to optimize business processes, mitigate risks, and guide decision-making.
• Communicate model and analytics results to all levels of management.