Data Science & Artificial Intelligence Course

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.

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

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

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.

Prerequisites:

Open to beginners; progresses to advanced topics.

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.

What is a data scientist?

A data scientist is a professional who uses data to solve problems and help organizations make better decisions. They collect, clean, and analyze large sets of data, often using tools like Python, R, SQL, and machine learning algorithms. Their work helps companies understand trends, predict future outcomes, and improve operations.

Data scientists often work in industries like technology, finance, healthcare, and retail. They need strong skills in statistics, programming, and communication to turn complex data into clear insights.

What is the average salary of a data scientist?

In 2025, the average salary for a data scientist in the United States is between $115,000 and $125,000 per year. Entry-level data scientists typically earn around $80,000 to $95,000, while those with a few years of experience make $105,000 to $130,000. Senior data scientists can earn $140,000 to $175,000 or more, especially in tech-focused cities.

Does this course prepare you for a certification?

No.

How long does it take to complete this course?

After you register, you will receive 9 months to complete the course. The time allotted for completion has been calculated based on the number of course hours.

When can I start this course?

This course is open enrollment, so you can register and start the course whenever you are ready. Access to your course can take 24-48 business hours.

What if I don't have enough time to complete the course within the time frame provided?

The time allotted for course completion has been calculated based on the number of course hours. However, if you are unable to complete the course, contact the student advising team to see what options you may have available to work out a suitable completion date. Please note that an extension fee may be charged.

What kind of support will I receive?

Our courses are designed to accommodate various learning preferences. Depending on the course structure, you may get different forms of support. Self-paced courses are designed to be user-friendly and independent, minimizing the need for external support. In courses with instructors, our direct platform support feature includes opportunities for questions, discussions, and remediation, with email and phone support available for select courses. Our student advising team is available to guide you on program requirements and administrative requests, but they do not provide assistance with course content. Our goal is to provide you with the necessary support for success, whether it's through self-paced exploration, direct communication, or guidance from our advising team.

What happens when I complete the course?

Upon successfully passing the final exam, you will be awarded a certificate of completion from the school or organization that you registered through.

Am I guaranteed a job?

ed2go courses will help you gain the skills you need to obtain an entry-level position in most cases. However, you should always research the job market in your area before enrolling.

Can I get financial assistance?

ed2go courses are non-credit, so they do not qualify for federal aid, FAFSA, and Pell Grant. In some states, vocational rehab or workforce development boards may provide funding to take our courses. Additionally, you may qualify for financial assistance if you meet certain requirements. Learn more about financial assistance.

How can I get more information about this course?

If you have questions that are not answered on our website, representatives are available via LIVE chat. You can also call us at 1-877-221-5151 during regular business hours to have your questions promptly answered. If you are visiting us during non-business hours, please send us a question using the "Contact Us."