This course teaches you to harness AI-powered tools for code generation, focusing on SQL, Python, and R for data analysis tasks. The target learner for this course is a seasoned data professional or an aspiring analyst. This comprehensive program empowers. The course covers the design and implementation of automated data processing pipelines, enabling you to streamline your entire data analysis workflow.
Coding and Automation for Data Analysis with Generative AI
Coding and Automation for Data Analysis with Generative AI
This course is part of Microsoft Generative AI for Data Analysis Professional Certificate
Instructor: Microsoft
Included with 
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
17 hours to complete
3 weeks at 5 hours a week
Flexible schedule
Learn at your own pace
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
December 2024
Assessments
23 assignments
Taught in English
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Build your Data Analysis expertise
This course is part of the Microsoft Generative AI for Data Analysis Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate from Microsoft
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Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 5 modules in this course
Lays the foundation for using generative AI in coding by introducing key concepts, tools, and techniques for effective code generation and prompt engineering.
What's included
11 videos8 readings4 assignments
Explores the use of generative AI to automate and streamline the creation, customization, and implementation of formulas within various data analysis tools, focusing on enhancing efficiency and accuracy.
What's included
13 videos6 readings4 assignments
Expand your coding capabilities by leveraging generative AI for complex code snippets, debugging, and customization, addressing specific data analysis challenges.
What's included
12 videos6 readings4 assignments1 discussion prompt
Guides learners in streamlining their data analysis workflows by identifying automation opportunities, integrating generative AI tools into coding environments, and automating key tasks like data cleaning, transformation, and visualization.
What's included
10 videos5 readings5 assignments
Solidify coding skills and enhance practical experience by applying generative AI in real-world data analysis projects, fostering collaboration and receiving valuable feedback to improve code quality and problem-solving abilities.
What's included
9 videos7 readings6 assignments
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