Gain competitive edge with technical knowledge in cybersecurity, blockchain, data analysis, and robotic process automation. Learn the skills necessary to develop strategies with technology.
Learn the characteristics of blockchain and crypto-assets, identify opportunities and risks, and understand high-level technology concepts underpinning blockchain. Anticipate potential benefits and risks of the technology, study structure and functionality, and translate crypto-assets into relevant business application and value.
Qualifies for 16 CPE credits.
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Understand the need for transformational assets within an organization and the importance of intelligent data management and corresponding analytics practice. Learn the roles involved in the analytics practice and the most commonly encountered technologies in today's data ecosystem.
Qualifies for 10 CPE credits.
Understand the concepts and definitions of data analytics and fundamental statistical analysis techniques to glean useful information from data. Learn the variables that make up a data set and perform meaningful calculations: central tendency, variability, probability, and distribution.
Qualifies for 15 CPE credits.
Define clear business outcomes for your analytics practice to ensure your efforts align with your organization's strategic direction and create value. Learn data profiling and data cleansing techniques to maintain data quality throughout the data life cycle. Practice extract, transform, load (ETL) techniques and work with different data models and analytics tools.
Qualifies for 14 CPE credits.
Learn the fundamental techniques used for predictive analytics: regression, classification, clustering, optimization, and simulation. Beginning with basic models for revealing and establishing relationships, you will apply increasingly sophisticated modeling techniques for practical data analysis and commonly encountered problems.
Learn how robotic process automation (RPA) is transforming businesses and providing a significant competitive advantage. Hear key considerations to build an RPA strategy, including how to address the cultural shift needed to overcome the "fear of robots" and understand the critical role human intelligence plays to ensure a successful strategy.
Qualifies for 7 CPE credits.
Learn the benefits of robotic process automation (RPA) and how software robots can make your business or clients more competitive and agile. Gain an understanding of the risks, opportunities, and organizational impact of automation, as well as key considerations to build a business case and run a successful proof-of-concept.
Learn how to translate data into meaningful information, visualize the information, and communicate findings and lessons. Develop an understanding of business intelligence (BI) and the overall architecture by which organizational data can be managed and understood.