Leading Technologies: Big Data, Business Intelligence, Cybersecurity and Artificial Intelligence

Leading Technologies

Big Data and Data Analytics - Next course begins: Sat, March 2, 2019

  • Data and big data fundamentals
  • Data storage and warehousing
  • Data mining
  • Data preprocessing
  • Machine learning
  • Data modeling
  • Modeling and analytics with R, Python, and RapidMiner
  • Data visualization and storytelling with Tableau
  • Introduction to artificial intelligence
  • Data analytics with Splunk
  • Capstone projects using big data platforms and datasets

Business Intelligence - Next course begins: Sat, February 2, 2019

  • Fundamentals of BI
  • Basics of data storage and data models
  • Advanced Excel
  • Structured Query Language (SQL)
  • Data queries and data mining with SQL
  • Data mining with Excel
  • Data extraction, transformation, and load (ETL)
  • Fundamentals of data analytics
  • Data visualization & dashboard creation
  • Tableau & MS Power BI training
  • Data modeling & analytics

Cybersecurity and Information Systems Security - Next course begins: Sat, February 16, 2019

  • Fundamentals of Cybersecurity and Information Systems Security
  • Information security frameworks and standards
  • Security attacks, threats, and vulnerabilities
  • Malicious malware and their behavior
  • Attack detection and defensive measures
  • Information system security practices
  • Security systems monitoring and audits
  • Risk management and recovery operations
  • Networks security risks and defensive tools
  • IoT and Cybersecurity
  • Applications of artificial intelligence and machine learning in Cybersecurity

Artificial Intelligence and Machine Learning - Next info session: Tue, Nov 20

  • Fundamentals of Artificial Intelligence (AI)
  • AI, Deep Learning, and Machine Learning
  • Statistics and Machine Learning
  • Neural Networks
  • Reinforcement Learning
  • Applications of Markov Decision Process and hidden models
  • Deep Neural Networks
  • Convolutional Neural Networks (CNN)
  • Recurrent Neural Networks (RNN)
  • Frameworks and libraries for AI (TensorFlow, Keras)
  • Building and training AI models using libraries and resources such as NVIDIA