Free
Course

Learn How to Use AI for Data Analysis

Ready to learn how to use AI for data analysis in Python? We’ll show you how to use the OpenAI API model as your own personal analytics assistant.

2,011 learners enrolled
  • Skill level

    Intermediate
  • Time to complete

    Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary
    1 hour
  • Certificate of completion

    Included with paid plans
  • Prerequisites

    1 course
    We suggest you complete the following courses before you get started with Learn How to Use AI for Data Analysis:
    • Getting Started with Python for Data Science

About this course

Whether you are a professional data analyst or just have data to analyze, AI models like OpenAI’s GPT can help you generate everything from analytics strategies to Python code. In this course, you will learn how to use AI for data analytics by embedding OpenAI’s models as an AI assistant directly within your own Jupyter Notebook environment. Get ready to unleash the power of AI data analysis.

Skills you'll gain

  • Learn how to use AI for data analytics

  • Write effective prompts for data analysis

  • Connect to OpenAI using an API key

  • Improve performance with API parameters

  • Understand and avoid common AI pitfalls

Syllabus

The platform

Hands-on learning

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Meet the creator of the course
Ada Morse
Data Science Instructional Designer at Codecademy
Ada is a Data Science Instructional Designer at Codecademy. Her background is in mathematics, with a Ph.D. focused on the design of self-assembling DNA nanostructures. Ada has worked on courses across our Data Science catalog, covering topics including Python, Excel, and Data Engineering.

Reviews from learners

  • The progress I have made since starting to use codecademy is immense! I can study for short periods or long periods at my own convenience - mostly late in the evenings.
    Chris
    Codecademy Learner @ USA
  • I felt like I learned months in a week. I love how Codecademy uses learning by practice and gives great challenges to help the learner to understand a new concept and subject.
    Rodrigo
    Codecademy Learner @ UK
  • Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.
    John-Andrew
    Codecademy Learner @ USA

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Frequently asked questions about How to Use AI for Data Analysis

  • Prompt engineering is the art and science of designing prompts for large language models, to improve their output. Data Analytics requires specific prompting techniques to communicate information about the dataset and context within a Jupyter Notebook.

7 Careers You Can Have In Generative AI & Machine Learning

Jacob Johnson
Apr 12, 2023

It’s an exciting time for artificial intelligence (AI). We’re still a long way from the sentient robots you see in movies like Ex Machina and The Terminator, but with the rise of large language models and scarily-impressive programs like ChatGPT and DALL-E, the question on everyone’s mind is: Will AI replace our jobs?

Experts say: Probably not. As generative AI tools become more sophisticated, so will the ways we interact with them. If you understand the technology, there are tons of opportunities to use these tools to your advantage as a developer. (Check out our free course Intro to ChatGPT to learn how.)

Plus, surveys suggest that this advancement in AI is creating jobs — and you could have the skills you need to get hired. Companies worldwide are looking for AI and machine learning experts to help them find ways to use cutting-edge tech to improve their products and operations, and the demand is skyrocketing for many of the roles we’re about to explore.

Continue reading

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