Course Detail: STCP-9075 - Data Science and Artificial Intelligence

Data Science and Artificial Intelligence

This intensive data science and AI course builds core skills for entry-level roles, including SQL, Python, automation, and data visualization. You'll gain hands-on experience cleaning data, building machine learning models, and creating dashboards using tools like Pandas, NumPy, and scikit-learn, while also developing AI-powered web apps with Flask and OpenAI. Designed for beginners, the program includes real-world projects and capstone work to prepare you for careers in data analytics, machine learning, and AI. You'll also learn back-end development, API integration, and how to build interactive, AI-driven web applications.

What you will learn

  • Study fundamental Python programming concepts like how to use its core data science libraries like NumPy and Pandas, read and write database queries, and automate routine data tasks
  • Develop applications with AI that combine OpenAI's API into tools using Flask and HTML
  • Work with data to create machine learning models and study their performance
  • Use Python libraries like Seaborn, Dash, and Matplotlib to create dashboards and visualizations
  • Learn how to structure API calls and render outputs in web-based applications using Python
  • Explore PostgreSQL fundamental concepts, such as querying databases, applying aggregate functions, working with subqueries, and using joins to establish data relationships and merge the information contained in multiple tables

How you will benefit

  • Gain the practical training necessary to understand data science workflows and transition into machine learning
  • Benefit from exploring how major companies like Spotify, Netflix, and Amazon leverage machine learning to tackle real-world problems
  • Complete three final capstone projects in machine learning, artificial intelligence, and Python data visualization
  • Understand how to publish completed projects to platforms like GitHub or Heroku to showcase your expertise to prospective employers

Available Sessions

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