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

Leading Technologies

Applied Machine Learning and Data Science with Python - Next Class Starts Sat, Apr 27

  • Data Wrangling in Python
  • Visualization with Matplotlib & Seaborn
  • Optimizing ML Models in Scikit-Learn
  • Accessing Databases with SQL and Python
  • Text Analytics in Python
  • Web Scraping with BeautifulSoup
  • Sentiment Analysis with NLTK
  • Time Series Analysis in Python
  • Audio Processing with Python

Artificial Intelligence and Deep Learning – Next Class Starts Sat, Jun 22

  • Introduction to AI, Machine Learning, & Deep Learning
  • Statistics and Uncertainty
  • Intelligent Problem-Solving Agents
  • Machine Learning & Neural Networks
  • Applications of Markov Decision Process and Hidden models
  • Deep Neural Networks
  • Convolutional Neural Networks (CNN)
  • Recurrent Neural Networks (RNN)
  • Reinforcement Learning
  • Frameworks and Libraries for AI (TensorFlow, Keras)
  • Practicum: Build, train, and apply ML and AI models using popular tools and libraries

Big Data and Data Analytics - Next Class Starts Sat, Jun 1

  • Data and Big Data Fundamentals
  • Data structure
  • Data warehousing
  • Data Engineering Fundamentals
  • Data Mining using Rapid Miner, Azure & Python
  • Data modeling
  • Descriptive Analytics
  • Predictive Analytics
  • Machine Learning
  • Introduction to Artificial Intelligence (AI), with NVIDIA
  • Data visualization using Tableau
  • Practicums using big data platforms and datasets
  • Spark

Business Intelligence - Next Class Starts Sat, Apr 20

  • 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 Class Starts Sat, Jun 1

  • 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