Data Science & Artificial Intelligence Course

Learn Fundamental AI and Python Programming Concepts 

This intensive data science and artificial intelligence course covers technical training in essential core competencies for entry-level data science roles, with a curriculum designed to provide you with real-world training and skills in Python, SQL querying, automation, and data visualizations. The program also includes practical instruction in integrating AI models into web applications.

Through 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.

Training 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 data science and artificial intelligence course, you will be proficient in Python development tools and capable of building interactive, AI-enhanced web tools.

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Flexible Online Training

100% online—start anytime and study on your schedule.

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Job Outlook for Data Science and Artificial Intelligence Professionals

According to the U.S Bureau of Labor Statistics, employment of data scientists is projected to grow 36% by 2033, with about 20,800 job openings estimated each year, on average. 

In 2025, the average salary for a data scientist in the U.S. 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.

Data Science and Artificial Intelligence FAQs

  • 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. 

  • Does this course prepare you for a certification?

    No.

  • How long does it take to complete this course?

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

  • Do I need any prior experience to take this course?

    This course is open to beginners and progresses to advanced topics.

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
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Build data-driven applications with Python, AI, and machine learning

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