In this Professional Certificate, learners developed and honed essential knowledge and skills to enter today's dynamic cybersecurity workforce. Learners developed knowledge of cybersecurity analyst tools including data protection; endpoint protection; SIEM; and systems and network fundamentals; acquired knowledge around key compliance and threat intelligence topics important in today’s cybersecurity landscape; gained skills for incident responses and forensics. The learner’s knowledge and skills were tested through multiple assessments throughout the courses, a real-world breach case study and several hands on virtual labs. The learner also achieved a passing score on a final assessment course covering all content from the previous seven courses.

This IBM Professional Certificate is earned after successfully completing 9 courses on various topics in Data Analytics. The learner understands the core principles of data analysis and has worked hands-on with a variety of data sources, project scenarios, and data analysis tools, including Excel, SQL, Relational Databases, Python, Jupyter Notebooks, and Cognos Analytics, gaining practical experience with data manipulation, data analysis, and data visualization. The earner of this Certificate has demonstrated proficiency in applying different analytical techniques by analyzing real-world datasets, creating visualizations & interactive dashboards, and presenting reports to share findings of data analysis, and is now equipped with skills for an entry-level role in data analytics.

In this Professional Certificate, learners developed essential knowledge and skills to perform the many tasks in an entry-level data engineering role. By completing over a dozen courses in the program, the earner of this Professional Certificate has demonstrated a firm grasp on and practical experience with fundamentals of Relational Databases, Database Architecture, Design, & Administration, Data Warehousing, Querying databases with SQL and BI Tools, ETL with Python Programming language and Shell Scripts, NoSQL, and Big Data processing using Apache Spark. Learners have applied all these skills to complete a Capstone Project involving the design, deployment and management of a complete data engineering platform inspired by a real-world data analytics requirements scenario.