Data Science & Artificial Intelligence Course   

Prepare to obtain training in Python programming, machine learning, data analysis, automation, and SQL. You will learn to build AI applications using APIs and frameworks, gaining hands-on experience in data cleaning, visualization, and model development with tools like Pandas, NumPy, and scikit-learn.

Requirements:

Hardware Requirements:

• This course can be taken on either a PC or Mac. Chromebooks are not compatible.

Software Requirements:

• PC: Windows 10 or later.
• Mac: macOS 12 or later.
• Browser: The latest version of Google Chrome or Mozilla Firefox is preferred. Microsoft Edge and Safari are also compatible.
• Microsoft Word Online
• Adobe Acrobat Reader
• Google Colab
• DBeaver
• Software must be installed and fully operational before the course begins.

Other:

• Email capabilities and access to a personal email account.

Instructional Material Requirements:

The instructional materials required for this course are included in enrollment and will be available online.

This intensive data science and artificial intelligence course covers technical training in essential core competencies for entry-level data science roles, including: SQL, Python, and Python's data science libraries. The curriculum is intended to provide you with real-world training, so you acquire transferable skills that employers look for like SQL querying, automation, and data visualizations. The program also includes practical instruction in integrating AI models into web applications.

Through the practical exercises, you will gain valuable experience working to clean and visualize data, build machine learning models, develop dashboards using tools like Pandas, NumPy, scikit-learn, and build AI-powered web applications using Flask and OpenAI. This beginner-friendly machine learning course features capstone projects and practical assignments that prepare you for roles in data analytics, machine learning engineering, and AI.

The curriculum goes beyond basic data analytics by introducing you to back-end development and API integration using Python-based frameworks. You will learn to design and style user-facing web forms, make requests to AI platforms, and incorporate error handling into your applications. Upon completion of this artificial intelligence and data science course, you will be proficient in Python development tools and capable of building interactive, AI-enhanced web tools.

1. SQL with AI Course
2. Python for Data Science Course
3. Machine Learning with AI with Python Course
4. Python for AI
5. Python Automation
6. Python Data Visualization

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

Brian McClain

Brian McClain is a senior instructor and program director at Noble Desktop, where he teaches Python, data science, machine learning, and AI courses. His expertise covers several programming languages (including Python, R, and SwiftUI) and advanced frameworks (SQL, Flask, and OpenAI technologies). Brian holds certifications as a New York State Instructor of Computer Applications and a Licensed Private Career School Teacher. He earned his Bachelor's degree in Political Science from Duke University.

Colin Jaffe

Colin Jaffe is a programmer and curriculum developer at Noble Desktop. He has taught coding and software development at Noble Desktop as well as various other educational institutions. Colin's teaching focuses on algorithmic thinking, application logic, and practical frameworks such as React and Python. His professional background includes front-end development and data analytics, and he brings creativity to technical instruction, shaped by his experience as a self-taught programmer.

Dan Rodney

Dan Rodney is a coder, designer, and instructor with over 25 years of experience creating coursework and leading innovative training initiatives at Noble Desktop. He's taught employees from major corporations as well as individuals wanting to break into tech and design. Dan has been at the forefront of integrating AI into design and business workflows, spearheading Noble Desktop's latest AI course offerings.